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The PhD Program in Business Analytics and Operations focuses on research in areas such as supply chain management, business analytics, operations, and project management. Research foci include methodology development, empirical analysis, and analytical modeling. Tools from a broad base such as operations research, probabilistic modeling, statistics, econometrics, and data mining are utilized to address real-life operational issues. Students are expected to develop a strong foundation and publish in top journals. The program mentors students with an apprenticeship model, providing an early start in independent research as well as joint work with faculty.

We are a small, highly selective program, and work closely with our students to make sure that those who join our program complete it successfully and are placed appropriately.

Katz offers a breadth of research topics–many students can find a home here. Recent PhD dissertation topics have included:

• Revenue Maximization Using Product Bundling
• Business Analytics for Non-profit Marketing and Online Advertising
• The Analytic Network Process Applied in Supply Chain Decisions, in Ethics, and in World Peace
• Modeling Patient Flow in a Network of Intensive Care Units (ICUs)
• Managing Outsourcing Decisions: Government Policy, Firm Options, and the Economic Impact
• Applications of Revenue Management in Healthcare

Our collaboration frequently results in articles that are published in top journals .

External Funding

Since 2010, our program has had very close ties with the Veterans Health Administration, and has engaged in a wide variety of healthcare analytics projects with them. FY 2018 funding on VHA projects exceeds $995,000.

We are a leading program with respect to placement. Over the last decade, all students who actively sought university positions obtained them, and our recent alumni were placed as faculty members at major universities in the U.S. and Canada, and in research positions in the industry. 

Year 1 Curriculum: Fall Term

An exploration of critical thinking.

Year 1 Curriculum: Spring and Summer Terms

A thorough examination of research methods.

Year 2 Curriculum: Fall Term

A continued study in critical thinking and research methods.

Year 2 Curriculum: Spring Term

A further dive into major concentrations, critical thinking, and research methods.

Year 2 Curriculum: Summer Term

A comprehensive independent study.

Year 3 Curriculum: Fall, Spring, and Summer Terms

Fully concentrated work on dissertation and service as teaching assistant.

Curriculum: Years 4 and 5

Teach and enter the job market to defend your dissertation.

STUDENT SPOTLIGHT

My advisors unselfishly devoted their time and energy to mentor me, but also gave me the freedom to pursue the ideas I was curious about and develop myself as an independent researcher. I could have not asked for a better start to my career than my time as a PhD student at Katz.

Coughlin Sesquicentennial Assistant Professor of Marketing at Boston College

If you’re naturally curious, observing phenomena, and wondering when they occur and what drives them, a PhD can let that curiosity become your full-time job.

is Gerald I. Susman Professor in Sustainability Professor at Penn State University

Business analytics research

Business analytics research requires a rigorous approach to model formulation and estimation as well as the skills to analyse the outputs of these models. Our Business Analytics scholars regularly publish in leading international journals. Particular fields of interest include:

• big data analytics 
• applied econometrics
• electricity markets
• financial econometrics and quantitative risk forecasting
• Bayesian methods
• forecasting, sensitivity analysis
• micro-econometrics, multivariate statistical methods
• panel data methods and models
• scheduling problems
• statistical machine learning
• stochastic non-life insurance and actuarial problems
• supply chains
• testing and modelling structural change
• time series and forecasting.

We welcome approaches from potential PhD students with an interest in any of these areas.

Meet our academics and research students.

Head of Discipline

Associate Professor  Dmytro Matsypura

Deputy Head of Discipline

Professor Artem Prokhorov (Research & Recruitment)

Associate Professor Anastasios Panagiotelis (Education)

Professor  Junbin Gao

Professor  Richard Gerlach

Professor  Daniel Oron

Professor Peter Radchenko

Professor  Bala Rajaratnam

Associate Professor  Boris Choy

Associate Professor Erick Li

Associate Professor  Jie Yin

Associate Professor  Minh Ngoc Tran

Associate Professor  Andrey Vasnev

Senior Lecturers

Dr  Nam Ho-Nguyen

Dr  Stephen Tierney

Dr  Chao Wang

Dr Wilson Chen

Dr  Bern Conlon

Dr Qin Fang

Dr  Simon Loria

Dr  Pablo Montero-Manso

Dr Bradley Rava

Dr  Marcel Scharth

Dr Firouzeh Taghikhah

Dr Alison Wong

Adjunct Senior Lecturer

Dr  Steven Sommer

Adjunct Lecturer

Research associates, postdoctoral research associate.

Dr  Tomas Ignacio Lagos

Honorary and emeritus staff

Emeritus professor.

Professor Eddie Anderson

Professor Robert Bartels

Honorary Professors

Professor Robert Kohn

Professor Ganna Pogrebna

Professor Michael Smith

Honorary Associates

John Goodhew

Hoda Davarzani

John Watkins

David Grafton

Yakov Zinder

Higher degree by research students

View our current  higher degree by research students . 

Research groups

Time series and forecasting research group, productivity, efficiency and measurement analytics (pema), research seminars.

The Discipline of Business Analytics holds a regular seminar series. Seminars are usually held on Fridays at 11am in Room 5070, Abercrombie Building (H70) . The seminar organiser is Bradley Rava .

Please email  [email protected]  if you wish to be included in the BA seminar series mailing list.

Below is an outline of our recent and upcoming activity. 

2018 seminars

Finding critical links for closeness centrality.

• Date: 10 Aug 2018 at 11am
• Venue: Rm 3010, Abercrombie Building (H70)
• Speaker: Professor Oleg Prokopyev, Department of Industrial Engineering, University of Pittsburg

Risk management with POE, VaR, CVaR and bPOE: Applications in finance

• Venue: Rm 4150, Abercrombie Building (H70)
• Speaker: Professor Stan Uryasev, Department of Industrial and Systems Engineering, University of Florida

My experience as EIC of OMEGA

• Date: 9 Aug 2018 at 11am
• Venue: Rm 2240, Abercrombie Building (H70)
• Speaker: Prof Benjamin Lev, LeBow College of Business, Drexel University

Heterogeneous component MEM models for forecasting trading volumes

• Date: 27 Jul 2018 at 11am
• Venue: Rm 3190, Abercrombie Building (H70)
• Speaker: Professor Giuseppe Storti, Department of Economics and Statistics, University of Salerno UNISA

Realised stochastic volatility models with generalised asymmetry and periodic long memory

• Date: 1 Jun 2018 at 11am
• Venue: Rm 2290, Abercrombie Building (H70)
• Speaker: Professor Manabu Asai, Faculty of Economics, Soka University

Improving hand hygiene process compliance through process monitoring in healthcare

• Date: 24 May 2018 at 11am
• Venue: Rm 1080, Abercrombie Building (H70)
• Speaker: Associate Professor Chung-Li Tseng, Operations Management, UNSW Business School

Exact IP-based approaches for the longest induced path problem

• Date: 18 May 2018 at 11am
• Speaker: Dr Dmytro Matsypura, Discipline of Business Analytics, The University of Sydney

Bayesian deep net GLM and GLMM

• Date: 11 May 2018 at 11am
• Speaker: Mr Nghia Nguyen, Discipline of Business Analytics, The University of Sydney

Computational intelligence-based predictive snalytics: Applications with multi-output support vector regression

• Date: 13 Apr 2018 at 11am
• Speaker: Professor Yukun Bao, School of Management, Huazhong University of Science and Technology (HUST)

Entrywise functions preserving positivity: Connections between analysis, algebra, combinatorics and statistics

• Date: 5 Apr 2018 at 3.30pm
• Venue: Rm 3120, Abercrombie Building (H70)
• Speaker: Associate Professor Apoorva Khare, Department of Mathematics, Indian Institute of Science

Large-scale multivariate modelling of financial asset returns and portfolio optimisation

• Date: 23 Feb 2018 at 11am
• Speaker: Professor Marc Paolella, Department of Banking and Finance, University of Zurich

Statistical inference on the Canadian middle class

• Date: 16 Feb 2018 at 11am
• Speaker: Professor Russell Davidson, Department of Economics, McGill University

2017 seminars

Heterogeneous structural breaks in panel data models.

• Date: 1 Sep 2017 at 11am
• Venue: Rm 1050, Abercrombie Building (H70)
• Speaker: Dr Wendun Wang, Erasmus School of Economics, Erasmus University

Externalities, optimisation and regulation in queues

• Date: 25 Aug 2017 at 11am
• Speaker: Dr Nadja Klein, Melbourne Business School, University of Melbourne

A partial identification subnetwork approach to discrete games in large networks: An application to quantifying peer effects

• Date: 11 Aug 2017 at 11am
• Speaker: Professor Tong Li, Department of Economics, Vanderbilt University

An introduction to knowledge management and some common entry points

• Date: 4 Aug 2017 at 11am
• Venue: Rm 2090, Abercrombie Building (H70)
• Speaker: Prof Eric Tsui, Department of Industrial and Systems Engineering, Hong Kong Polytechnic University

Two applications of serial inventory systems

• Date: 21 Jul 2017 at 11:00am
• Venue: Rm 5070, Abercrombie Building (H70)
• Speaker: Associate Professor Ying Rong, Operations Management, Shanghai Jiao Tong University

Methods of matrix factorisation

• Date: 2 Jun 2017 at 11am
• Speaker: Professor Wray Buntine, Master of Data Science, Monash University

Optimisation and equilibrium problems in engineering

• Date: 26 May 2017 at 11am
• Speaker: Prof Steven Gabriel, Department of Mechanical Engineering, University of Maryland

Exact subsampling MCMC

• Date: 12 May 2017 at 11am
• Speaker: Dr Matias Quiroz, UNSW Business School, University of New South Wales

Effects of taxes and safety net pensions on life-cycle labor supply, savings and human capital: The case of Australia

• Date: 21 Apr 2017 at 11am
• Speaker: Dr Fedor Iskhakov, College of Business and Economics, Australian National University

Trial-offer markets with social influence: The impact of different ranking policies

• Date: 18 Apr 2017 at 11am
• Venue: Rm 5040, Abercrombie Building (H70)
• Speaker: Dr Gerardo Berbeglia, Melbourne Business School, University of Melbourne

Conditionally optimal weights and forward-looking approaches to combining forecasts

• Date: 7 Apr 2017 at 11am
• Speaker: Dr Andrey Vasnev, Discipline of Business Analytics, The University of Sydney

A flexible generalised hyberbolic option pricing model and its special cases

• Date: 31 Mar 2017 at 11am
• Speaker: Dr Simon Kwok, School of Economics, The University of Sydney

Scheduling with variable processing times: Complexity results and approximation algorithms

• Date: 24 Mar 2017 at 11:00am
• Speaker: Associate Professor Daniel Oron, Discipline of Business Analytics, The University of Sydney

Modelling insurance losses using contaminated generalised beta type-2 distribution

• Date: 17 Mar 2017 at 11am
• Speaker: Dr Boris Choy, Discipline of Business Analytics, The University of Sydney

How (not) to get what you ask for: Survey mode effects on self-reported substance use

• Date: 24 Feb 2017 at 11am
• Speaker: Dr Bin Peng, School of Mathematics, University of Technology Sydney

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Postgraduate research, business analytics working papers.

A list of all our research working papers, from 1975-present.

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PhD Programs in Business Analytics

This guide is an overview of all of the opportunities available with a PhD in business analytics. It covers why professionals and students might pursue a PhD in business analytics, the usual steps or processes to get the degree, and potential outcomes or career paths.

For business purposes, professionals interested in executive-level or senior management positions in business analytics or operations might typically need only to obtain a master’s degree in a data-related area to reach their goal.

Ad techguide.org is an advertising-supported site. Clicking in this box will show you programs related to your search from schools that compensate us. This compensation does not influence our school rankings, resource guides, or other information published on this site. Got it! Featured Analytics Programs

In most cases, a master’s would be a terminal degree for those seeking to reach the highest levels of management within a corporate setting.

But what of those looking for advanced careers outside the business world? Those interested in pursuing a career in business academics or research in big data analysis, data modeling, business forecasting, or operations might consider earning a PhD in business analytics.

Doctoral studies in this area will provide a deeper look at, among other areas, statistical analysis, data-driven decision-making, probability, and research theory.

Rather than focusing on applying business analytics concepts, a PhD in business analytics will provide more discussions on the “how’s” and “why’s” of this area of study:

• How are data technologies used to make decisions?
• Why are statistical analysis methodologies used to analyze data?
• How is organizational software employed to improve databases and other business systems?

Since most individuals who pursue business analytics studies are of the mind to apply what they have learned in a corporate setting, how common are PhD in business analytics programs? In what format are such programs offered? How long might it take to earn such a degree, and how much might it cost?

These are among the questions you’ll find answered regarding the PhD in business analytics in the following article. There’s also a FAQs section at the end to cover other information, so you’ll come away with a thorough understanding of what you’ll learn, why you might consider such a program, and what you could expect to do career-wise with this PhD.

What is a Business Analytics PhD Degree?

Few schools offer a PhD in business analytics program, as the field is still emerging and developing. Of these, even fewer are dedicated business analytics programs; instead, many PhD in business analytics programs pair business analytics with other areas, such as operations and information systems.

You might find a few institutions offering data analytics or business intelligence as an area of specialization within the Doctor of Business Administration.

Concepts you are likely to study in a PhD in business analytics program include:

• Data mining
• Data analytics
• Data structures
• Applied statistics
• Multivariate analysis
• Applied optimization
• Advanced decision technologies
• Advanced programming techniques

Other subjects likely to be addressed in business analytics PhD programs include mathematics, operations management, and microeconomics. Some courses in a PhD program might be presented in a seminar format.

In contrast, others might give case study examinations to help students better understand the application of concepts discussed in the program. You can also expect to spend time analyzing and studying research methodologies and applying these to the research and development of a dissertation.

The dissertation process typically unfolds throughout the program. You would work closely with a dissertation coordinator or other faculty member as you conduct ongoing research, present a thesis proposal, develop a defense of that proposal, complete the written project, and present the dissertation. 

In some programs, you will be required to pass a comprehensive exam that could combine both written and oral formats; this exam is usually administered after completing your coursework and before the final two years of the dissertation process.

While some courses could be taken online, the dissertation might require regular meetings with a committee or advisor to develop your proposal, argument, and thesis.

In addition to business analytics, you might find doctoral programs in business administration or management courses in data science, data analysis, data mining, business intelligence, or operations that touch upon or delve into key points addressed in a PhD in business analytics program.

Best PhD in Business Analytics Degree Programs for 2024

Capitol technology university, drexel university, the university of iowa, the university of tennessee, knoxville, university of cincinnati, university of pittsburgh, university of south alabama.

These rankings were compiled from data accessed in December 2023 from Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of December 2023. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.

Online PhD in Business Analytics Programs

PhD in business analytics programs are not conducted 100 percent online due mainly to the dissertation component of the program. Some schools, such as Capitol Technology University, might offer more online courses, while others could be fully on-campus. These programs are flexible, but the vast majority do require at least some in-person work. 

Ph.D. in business analytics programs are also typically full-time, four to five years in duration, so you should be prepared to devote the necessary time to complete these studies. In particular, completing the dissertation over the final two years of the program generally needs a full-time focus.

While these PhD programs certainly require much focus and dedication, completing a PhD in this field can certainly help an individual stand out since these programs are rare and challenging.

It can be expensive to obtain a PhD in business analytics, with tuition including fees ranging between $24,000 and $30,000+ per year. If applicable, factors impacting the costs include in-state or out-of-state residency and possible distance learning fees.

These tuition figures would not reflect the additional cost of room and board and any materials needed for coursework, which would vary between schools and locations. Application fees also apply and also vary among institutions.

Career Paths and Outcomes

If you are applying your advanced skills and knowledge in a business setting, you might have the opportunity to increase your earnings and responsibilities through career advancement.

According to statistics supplied by Salary.com , business analytics managers with a PhD could earn between $133,414 – $141,947 per year. Operations research analysts, who are involved in business analytics processes, are expected to be in demand throughout the next decade, with a 23 percent job growth projection according to the Bureau of Labor Statistics .

The BLS shows that these professionals earn a median annual wage of $85,720, with the upper ten percent realizing more than $149,000 annually. Those holding a PhD in business analytics might also consider pursuing work as a consultant.

As reported by the BLS, the projected job growth rate for all management analysts , including business analytics managers and management consultants, is 10 percent over the 2022-2032 decade.

This job growth rate is much faster than average, making it an appealing prospect for young professionals within the field. If a career in academics interests you, the BLS reports that post-secondary business teachers can expect an 8 percent increase in opportunities through 2032. As of May 2022, the median annual wage for post-secondary business teachers is $80,840.

Frequently Asked Questions

Since PhD in business analytics programs are not extremely common, it might be possible to find a related PhD program and align the research components with business analytics. Similar degrees include PhD programs in data science, big data analytics, business data science, management science, management analytics, operations, and information management, and business administration such as information and decision sciences.

Yes, a master’s degree in business is often required to enter this type of PhD program. You should also have a strong background in STEM-related subjects, possess strong computer and analytical skills, and be interested in learning about theory.

Some programs might require managerial experience before enrollment. You may also work in the field while obtaining your PhD, particularly before beginning your dissertation. Discussing potential employment or work experience with your prospective departments and programs is always advisable.

Most programs require at least a 3.0 GPA. As with many programs, the higher your GPA, the better your chances of getting accepted.

Yes, this PhD program is typically designated as a STEM program.

No, these programs are currently only full-time.

Related Resources

• Data Science PhD Programs
• PhD in Data Analytics Programs
• Tech Degrees
• PhD in Information Technology Programs
• What is Business Analytics?

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Current Students

• Mendoza Alumni
• The Notre Dame MBA
• Dual Degrees
• Accountancy (MSA)
• Business Analytics (MSBA)
• Finance (MSF)
• Management (MSM)
• Nonprofit Administration (MNA)
• Sports Analytics (MSBA-SA)
• Global Executive MBA
• Executive Master of Nonprofit Administration (EMNA)

Ph.D. in Analytics

• PhD in Management
• Undergraduate (BBA)

The core mission of the Mendoza PhD in Analytics is to develop thought-leaders in the analytics space that are engaged in impactful, cutting-edge scholarly research that considers the ethical dimension of data and its usage. Graduates of the PhD program are well-positioned to attain academic jobs at top business schools, where they can pursue successful careers in data analytics intensive domains such as business analytics, data science, information systems, operations, and computational social science, conducting research that is impactful and supports human flourishing.

Why Attain a PhD in Analytics?

The PhD degree is intended for those interested in the pursuit of knowledge – creating knowledge through research and disseminating new knowledge to students in the classroom. The field of analytics is without question one that is having a profound impact on business and society. There is a need for new professors capable of pursuing knowledge related to themes such as leadership in an AI-enabled world , ethical human-centered analytics , impactful computational social science , and next generation digital experimentation . These are just a few examples – we encourage our doctoral students to pursue whatever topics they’re passionate about and support them throughout their journey.

Why Notre Dame?

The Department of IT, Analytics, and Operations ( ITAO) is one of the premiere analytics departments, with world-class faculty, cutting-edge research labs, unparalleled industry connections, and access to a large network of Notre Dame alumni that are eager to support analytics thought-leadership.

Faculty Productivity and Reputation

The ITAO department encompasses a diverse set of faculty with significant research capabilities and extensive editorial board experience. ITAO faculty members currently serve in 10+ editorial roles at major journals related to analytics, information systems, and operations; and others have served in similar positions at quality journals previously. In recent years, ITAO faculty have won research awards at top journals and associations such as AIS, INFORMS, POM Society, and the IEEE.

Research Labs and Centers

The ITAO department has multiple analytics-focused research labs, including the Gaming Analytics Lab ( GAMA ) and the Human-centered Analytics Lab ( HAL ). Department faculty are also actively involved with the Notre Dame Technology Ethics Center ( ND-TEC ) and the Lucy Family Institute for Data and Society. Additionally, the Mendoza College of Business has a full-time dedicated data science team that supports data acquisition, collection, and wrangling as part of the Mendoza Behavioral Lab ( MBL ).

Partnerships with Industry

Our faculty routinely collaborate with various industry partners and federal agencies, including Electronic Arts, Ubisoft, eBay, Oracle, and NASA. The department is also actively involved with Notre Dame California ( ND California ), iNDustry Labs , and the Applied Analytics and Emerging Technology Lab (AeTL).

Cutting-edge Curriculum

It is essential that Ph.D. programs equip their graduates with the thorough, current training demanded by today’s market. Our analytics PhD program is well-positioned to produce “T-shaped” scholars that receive a foundation comprising select theories and ethics coursework, and depth via analytics methods courses and seminars. We see an opportunity to develop multi-dimensional scholars well-versed in contemporary analytics methods while also being adept at framing problems, thinking critically about the logic and flow between a problem and proposed solution, and capable of extrapolating their work to the bigger picture.

Institutional Prestige

Notre Dame is a Top 20 US News university with an international reputation and brand. A PhD from Notre Dame therefore sets our graduates up for success in academia at elite private schools or flagship state universities. Some of our graduates are also well-positioned for industry-oriented research roles.

The IT, Analytics, and Operations (ITAO) faculty use contemporary analytics methods such as machine learning, econometrics, statistics, and analytical modeling to study an array of research topics including ethics and privacy, health, sports and gaming, AI business applications, digital experimentation methods, and e-commerce:

• Ahmed Abbasi (AI, machine learning, text analytics, user modeling)
• Corey Angst (health analytics, ethics, privacy, security)
• Nicholas Berente (digital innovation, managing AI, institutional change)
• Francis Bilson Darku (sequential analysis, nonparametric statistics, econometrics)
• Jeff Cai (statistical learning, network analysis, data science)
• Sarv Devaraj (business analytics, healthcare management, supply chains)
• Rob Easley (economic modeling, Internet auctions, e-commerce)
• Ken Kelley (psychometrics, statistical methods, human-centered analytics)
• John Lalor (machine learning, natural language processing)
• Junghee Lee (innovation/technology in supply chains, healthcare operations)
• Kirsten Martin (technology ethics, privacy, business responsibility)
• Alfonso Pedraza-Martinez (humanitarian operations, disaster management, analytical modeling)
• Xinxue (Shawn) Qu (innovation diffusion, data management, predictive analytics)
• Sriram Somanchi (machine learning, event and pattern detection)
• Yoon Seock Son (econometrics, mobile strategy, AI business strategies)
• Daewon Sun (pricing strategies, resource management, economics of IS)
• Margaret Traeger (computational social science, social networks, health analytics)
• Katie Wowak (supply chains, traceability in global networks)
• Yang Yang (machine learning, network analysis, computational social science)
• Zifeng Zhao (statistical methods, large-scale forecasting, risk monitoring)

Program Structure

The program is designed to be five-years, full-time, in-residence. Click below for a year-by-year breakdown of how the program is structured.

In the first year, you will learn foundational theories, concepts, and methods related to analytics. ITAO seminar courses will include Human-centered AI, Philosophy of Science, and Computational Social Science. Methods related coursework will include classes related to machine learning, data science, statistics, and/or econometrics. Based on prior coursework, some students might be able to opt out of certain courses. In consultation with the program director, you will form a plan of study for methods courses and electives that align with your research interests.

At the beginning of the first year, you will also be assigned a faculty mentor that will guide your efforts related to the first-year research paper – the purpose of the first-year paper is to demonstrate the potential to produce high-quality scholarly manuscripts.

In year 2, you will continue to broaden and deepen your understanding of the analytics space with ITAO seminars related to Human-centered Statistics, Mathematical Modeling for Consumer Analytics, Operations and Prescriptive Analytics, and Data and Technology Ethics. At the end of the second year, you will have an examination requirement (in the form of an exam or paper). This examination will test your knowledge of ITAO seminar courses taken over the first two years. Your second-year faculty mentor will offer guidance on the paper.

You will wrap up any remaining coursework and turn your attention to pushing research projects towards publication.

In addition to managing your research portfolio, you’ll focus on finalizing your dissertation topic and defending your proposal.

The final year will involve interviewing for open positions, completing dissertation chapters, and having your final defense. And then, onward and upward into your exciting new career!

Marialena Bevilacqua received a BA in Math with a minor in Statistics from the College of Holy Cross in Massachusetts, where she was class president and captain of the field hockey and lacrosse teams. She attained an MS in Business Analytics from Georgetown University. Marialena was a brand operations analyst and manager plus “rookie of the year” at Thrasio.

Ryan Cook received a BS in Analytics with a minor in Philosophy from Notre Dame, and an MS in Computer Science from the University of Pennsylvania. He worked as a research scientist in Notre Dame’s Human-centered Analytics Lab and Center for Computer Assisted Synthesis, supporting projects related to NLP and network analysis. Ryan was also previously an analyst at EY in Chicago.

Kezia Oketch attained a BS in Computer Science from Spelman College and an MS in Engineering, Science, and Technology Entrepreneurship from Notre Dame. She was a Gold Scholar at the Grace Hopper Conference and co-founded a research startup focused on technology-based solutions to the cancer crisis in Kenya. Kezia was also a software engineer at an Ohio-based tech company.

Sunan Qian double majored in Economics and Math, and minored in French, at Mount Holyoke College. She received an MS in Finance with a minor in Quantitative Methods from Carnegie Mellon University – her thesis explored the impact of environmental regulation on firms’ carbon emissions and market value. Sunan was a digital consultant for Accenture in Tokyo.

Will Stamey was a double major in Economics and Math at Baylor University, with a minor in Philosophy. He was a Baylor Fellow and Crane Scholar, and completed the health economics sequence. Will’s honors thesis explored the impact of online education on academic outcomes. He was also a researcher at the Colorado Summer Institute in Biostatistics.

Xinyuan Zhang completed her undergraduate coursework from the University of Sydney, where she double majored in Finance and Statistics and researched sentiment analysis in the Computing Finance Lab. Xinyuan received an MS in Statistics from UCLA – her thesis explored preference models for two-sided platforms. She was also a researcher in the Trusted AI Systems Lab at Nankai University.

As Director of the Analytics PhD program, I’m happy to answer any questions you might have about our program (or a PhD in general). Feel free to email me at [email protected].  I look forward to connecting with you.

Our application deadline for the Fall 2024 incoming cohort is January 7, 2024 . You can apply using the “APPLY” button in the side menu (also appearing in the menu at the top of the page).

Ahmed Abbasi

Frequently Asked Questions

All students who are admitted to the program will be given a full tuition waiver. So the program is essentially tuition-free, with the only direct costs being miscellaneous university fees. In addition, all PhD students are paid a stipend of $40,000 a year. That stipend serves as compensation for your research activities (and for the teaching you would do in years three and four).

We require either the GRE or the GMAT, and have no preference between the two. If you’ve previously taken one of those tests, we require a score that is less than five years old. Unfortunately, the admissions committee will not waive the GRE/GMAT requirement under any circumstances.

It’s hard to say, as that is a function of a given application cycle, along with the rest of an applicant’s admissions portfolio. Most years, however, verbal and quantitative percentiles in the 80’s or above will be needed to advance to the short list.

Yes, if English is not your native language, or if English was not your language of college instruction. We accept either the TOEFL or the IELTS. If you’ve previously taken one of those tests, we require a score that is less than two years old.

You’ll fill out an online application form that will be linked on this site. And you’ll provide your resume, a statement of purpose/intent, three letters of recommendation, and unofficial transcripts of college (and any masters) degrees.

No. This sort of degree is best thought of as a research apprenticeship—where you are learning research skills in collaboration with faculty. That sort of collaboration requires a full-time, five-year, in-residence commitment.

Yes. While the program will prepare graduates to work in teaching institutions, government, and industry, the priority will be to prepare students for faculty roles so that they can be thought-leaders involved in teaching the next generation of analytics students and working to advance analytics-oriented research. Typically 80-90% of PhDs in Analytics take academic positions, while 10-20% pursue careers in industry (e.g., Silicon Valley, Wall Street, Think Tanks, etc.).

No. This is—first and foremost—a research degree. Teaching is part of the degree, as teaching is an important part of a professor’s career. But, if teaching or administration are your main focus, you might do a search for teaching-oriented PhD programs or Doctor of Business Administration (DBA) programs, which are sometimes also called Executive Doctorate programs.

Tippie College of Business

Phd in business analytics - phd programs.

PhD in Business Analytics

Data science. machine learning. optimization..

Data—namely, the generating of data—has exploded. All that data creates a great challenge. Businesses need better ways to get insights from the data. We help make that happen.

Here at Tippie, we’re a leader in business analytics research and education. In 2021 the Business Analytics Department won the prestigious UPS George D. Smith Prize that is awarded annually by INFORMS, the largest international association of analytics and operations research professionals.

For decades, we’ve been wrangling volumes of data, solving the most complex analytical puzzles. We did big data before big data was cool. And now that the world has caught up, we’re riding the front edge of an exciting wave.

Working hand-in-hand with our faculty, you’ll take your analytical and modeling skills to the next level through one of three specializations. Our grads are in high demand by academia, sure, but the private sector is also clamoring for business analytics PhDs. That means you can map out your own perfect-fit career path.

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STEM designation

The PhD in business analytics carries a STEM designation, which is particularly good news for international PhD candidates. Typically, after completing the degree, those in the U.S. on a student F1 visa have 12 months to work without an employer-sponsored visa. This period is called Optional Practical Training (OPT). The STEM designation extends OPT from 12 to 36 months.

Three specialization areas

Thanks to Tippie’s rich faculty roster, the PhD program in business analytics provides multiple areas in which you can choose to concentrate:

Information systems

Identify patterns and insights in data, like user behavior in Twitter or Facebook posts; identifying business competitors by mining webpages; and using health data to diagnose medical issues.

Faculty researching in this area include Patrick Fan , Nick Street , Kang Zhao , and Gautam Pant.

Quantitative methods

Develop tools to find optimal strategies to tackle mathematical problems, including "big data" problems. Quagmires like monitoring physician performance, identifying players to select in the NFL draft, and balancing cost and risk in trade.

Faculty in this area include Jeff Ohlmann , Sam Burer , Qihang Lin , Kurt Anstreicher , and Beste Basciftci .

Operations management

Use analytical tools to make data-driven business decisions, like routing vehicles to nail same-day delivery deadlines, strategizing a sugar cane harvest, or designing supply chains to mitigate risk.

Faculty studying operations include Ann Campbell , Barrett Thomas , Phil Jones , Jennifer Blackhurst , and Renato de Matta .

Big data, big market demand for analytics PhDs

Analytics expertise is in big demand at top universities and companies around the world.

Recent grads have joined as tenure-track assistant professor or post-doc at universities including:

• University of Arkansas-Little Rock
• University of Michigan
• University of Minnesota
• University of Tennessee
• University of Wisconsin-Whitewater

Others have taken positions as analysts and data scientists at companies including:

• Delta Air Lines

“Being able to leverage data to make really informed decisions gives a company an edge on competition. Analytics is becoming very key in managing a world-class supply chain, and it touches all aspects of a business.” Jen Blackhurst, Business Analytics Professor & Associate Dean for Graduate and Professional Programs Read Jen's story

Guided by great

When you come to a place like Tippie, full of faculty leading a fast-growing field, you might think they’re too busy to mentor students. Not so.

Iowa's PhD in business analytics maximizes mentorship and collaboration. Besides your designated advisor, you’ll meet with six more professors your first semester to talk about research interests you share. Leading thinkers and researchers—including INFORMS fellows and National Science Foundation award winners—will guide you from day one through graduation.

Thinkers like Ann Campbell , an international expert in vehicle routing. Or Kang Zhao , whose social network analysis has uncovered the secret to finding your perfect online date. Or Nick Street , a pioneer in using machine learning algorithms to make medical diagnoses. (Bonus: get more from our experts on our Twitter feed .)

Suffice to say, you’re in good hands. Correction: you’re in great hands.

See faculty research

If you've got a technical background, like engineering, math, and computer science, and want to develop analytics skills and solve real-world business problems, this is your place. Our program is small—just two to four students start each year—and accordingly competitive. We give preference to those with strong GPAs, prior graduate work, and research experience in a relevant field.

First, you need to meet the minimum PhD admission requirements . Other criteria for admission include:

Academic record

The minimum GPA is 3.0 on a 4.0 scale. We also consider the rigor of your undergrad or master's institution(s) and grades you earned in quantitative courses.

GMAT or GRE score

There isn't a specific minimum score, but successful applicants typically have very strong quant and analytical scores.

Financial support

To ensure that you have more than enough time to focus on your research, each admitted student is guaranteed a  research-assistantship (RA) or fellowship funding for at least six fall and spring semesters during their first five years in the program.

Letters of recommendation

We're interested in their assessment of your strengths, weaknesses, motivation, and ability to succeed.

Statement of purpose

Content and overall seriousness are considered.

English proficiency

This requirement applies only to international applicants whose native language is not English. We follow the Graduate College's  English proficiency requirements . 

Curriculum and sample plan of study

The PhD in business analytics requires 72 semester hours of credit, in addition to a dissertation. The typical time to complete the degree is five years.

The plan of study is very flexible. You can take elective coursework in any year of the program. The outline below is a sample for demonstration purposes; we'll work with you to outline a plan of study that aligns with your goals.

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AnalyticsDegrees.org

PhD in Business Analytics Programs

On This Page:

You’re a business analytics professional who aspires to become a university professor. You’re thinking of a PhD in Business Analytics , but wondering if it’s worth the effort. Use our PhD guide to evaluate timelines , coursework , and the dissertation process . Compare different types of business analytics doctorates . Learn if your experience matches up to typical admissions requirements . Explore funding options and employment avenues . Find answers to questions on online degrees and FAQ . Or jump ahead to listings of all the PhD in Business Analytics programs in the country.

What Are PhD in Business Analytics Programs?

A PhD in Business Analytics or a closely related field is a specialist doctorate focused on the intersection of original and groundbreaking research in applied statistics, analytics & business studies. It is almost always offered by a School of Business. Doctoral students who choose this pathway:

• Learn how to deploy sophisticated statistical & analytical techniques to address major corporate challenges
• Specialize in making complex, data-driven decisions in specific realms of business (e.g. marketing, finance, operations management, etc.)
• Become business analytics professors at universities and top-level researchers in the private sector

Can You Earn a PhD in Business Analytics?

Yes. Doctoral programs in business analytics exist, but they are academically-focused and research-driven. A PhD in Business Analytics is not a workplace qualification like an MS in Business Analytics or an MS in Data Science or a practical business administration degree like an MBA or DBA . Most PhD programs in our listings are specifically designed to help students become university professors.

Types of Business Analytics Doctorate Programs

Doctoral programs in this field tend to fall into two main categories: Business Analytics or Operations Management (or a combo of the two). Once you’ve highlighted a few programs, you can use the curriculum links in our listings to dig down into the coursework and explore faculty research interests.

PhD in Business Analytics

At the doctoral level, a PhD in Business Analytics has many of the same hallmarks as a PhD in Data Analytics . It will often involve high-level training in areas such as applied statistics, statistical programming, data mining, simulation, data science, optimization, and decision analysis. You’ll be required to apply all of those skills to a specific area of business research (e.g. marketing, economics, finance, operations, management, etc.). See the Dissertation section for examples of projects.

PhD in Operations Management

A PhD in Operations Management (OM) is focused on optimizing business processes from production through to distribution. Think of supply chains, operations planning & control, distribution networks, pricing, and inventory management. Using your skills in business analytics (see above), you could be challenged to develop theoretical models, conduct empirical studies, and run complex data analyses to find ways to improve these interconnected parts.

PhD in Business Information Technology (or Similar)

Some universities also offer “build your own” doctorates with an interdisciplinary feel. You’ll be able to combine coursework from the School of Business and technical departments. With an interdisciplinary doctorate, you can concentrate your research on whatever you please—operations management, information systems, business & data analytics, or even security & privacy.

Note: If none of these programs feel right, consider a PhD in Data Analytics . You may be able to customize your doctorate with corporate coursework (e.g. econometrics) and industry projects with the School of Business.

How Doctorates in Business Analytics Work: Curriculum & Dissertation

Degree structure.

Doctoral students go through 6 key stages to earn a PhD in Business Analytics—you have to finish one stage (e.g. core coursework) before you can progress to the next one (e.g. qualifying exam). On a full-time schedule, the entire doctorate might take 4-5 years.

Core Coursework

Qualifying/comprehensive exam, dissertation proposal, dissertation, dissertation defense.

• Year 1: Core coursework and first-year research papers. Assignment of a faculty mentor.
• Year 2: Core coursework, electives, second-year research papers, and the qualifying exam.
• Year 3: Any remaining coursework. Preparing research projects for publication. Dissertation proposal.
• Year 4: Dissertation work under the guidance of a dissertation advisor and advisory committee.
• Year 5: Dissertation work. Research papers & conference submissions. Dissertation defense.

Sample Curriculum

The first two years of your PhD in Business Analytics will contain a set of mandatory research & business courses. These credits are designed to equip you with all the skill sets you might need for your dissertation . Here are a few samples of real course titles from doctoral programs:

Research Methodology & Technical Skills

• Probability & Statistics
• Linear Algebra
• Applied Stochastic Process
• Multivariate Analysis
• Linear Programming
• Data Structures

Business Concerns

Operations Management

• Management Information Systems
• Microeconomics
• Information Analysis for Managerial Decisions
• Supply Chain Operations and Information

You can see how PhD programs in business analytics draw on high-level coursework from the Departments of Statistics & Computer Science and coursework from the School of Business. The mix will vary depending on the title & focus of the PhD. Visit the curriculum links in our listings to learn more about each program’s unique approach.

In addition to core coursework , your doctorate will almost always contain electives. You’ll be allowed to choose your own subjects and customize your degree to suit your research goals.

At the doctoral level, electives can be super-specialized. Here are a few examples of electives from PhD programs in Business Analytics & Operations Management:

Business Analytics

• Data Structure & Algorithms
• Machine Learning
• Markov Decision Processes
• Artificial Intelligence (AI)
• Game Theory
• Scheduling Theory
• Service Operations

Once you’ve completed your core coursework , you’ll be required to pass a comprehensive exam. The exam is designed to test your knowledge and prepare you for top-tier research projects.

The qualifying exam for a PhD in Business Analytics can take a number of forms. For instance:

• At the University of Cincinnati, the PhD in Operations, Business Analytics, and Information Systems qualifying exam consists of a written exam and a oral presentation.
• At the University of Oregon, the PhD in Operations and Business Analytics qualifying exam involves a test and a second-year paper that must be presented at a departmental seminar series.

After you’ve passed the qualifying exam, you can focus on developing the idea for your dissertation under the supervision of a dissertation advisor/faculty mentor. You may wish to work on a research-based dissertation, which explores new theories & models, or a project-based dissertation, which involves exploring real-life business problems.

You’ll assemble these ideas into a proposal and present your proposal to a dissertation advisory committee. The committee will be composed of experienced faculty members and—occasionally—outside experts.   If the committee accepts your proposal, you can get to work on your dissertation.

A PhD dissertation is defined as a work of original research that makes a significant contribution to the theory & practice of a field. Your goal is break new ground in business analytics—new theories, new practices, and new data-driven approaches. 

Dissertation Titles

Here are a few examples of real-life PhD dissertation titles in business analytics & closely related fields:

• Revenue Maximization Using Product Bundling
• Estimating the Statistics of Operational Loss Through the Analyzation of a Time Series
• Performance Improvement Through Better Understanding of Supply Chain Resilience
• Managing Outsourcing Decisions: Government Policy, Firm Options, and the Economic Impact
• Applications of Revenue Management in Healthcare
• Three Essays on Optimization and Decision-Making Solutions in Retail Operations

In tandem with your dissertation, you may also be writing up research papers to submit to peer-reviewed journals and industry conferences.

The defense is the final stage of your PhD. You’ll be challenged to present your findings to the dissertation advisory committee and defend your research in an oral & visual presentation. The committee will then ask you questions and discuss your work.

If you have a strong dissertation advisor, you’ll be more than ready for the defense! You’ll know your research backwards and forwards and you’ll be prepped to answer likely questions. You can improve your odds even further by observing other student defenses, practicing with mock presentations, and researching the work of committee members.

PhD in Business Analytics: Admissions

Doctorate in business analytics: what it takes to get in.

PhD programs in business analytics are 1) rare; and 2) typically fully funded . That also means they’re extremely competitive! Some Schools of Business may only accept 2-3 candidates per year. Follow the admissions links in our listings to get a sense of the university’s expectations.

Not sure if you have what it takes? Take a moment to:

• Assess your application to see if you can compensate for weak spots (e.g. GPA) with strengths (e.g. research projects, teaching experience, published papers, etc.)
• Make sure that your research interests would be a good fit with the PhD program’s faculty, departments, and facilities (e.g. Operations Research Center)
• Talk to current PhD students and recent alumni about their experiences with admissions, research work, and employment after graduation

Degree Requirements

For a PhD in Business Analytics, universities will want to see candidates who have a degree in business or a related technical discipline (e.g. data analytics, data science, statistics, etc.). The standard GPA requirement is 3.0 GPA or higher.

• Bachelor’s Degree Entry:  A number of schools are willing to consider applicants with a bachelor’s degree. However, they may give preference to candidates with prior graduate-level coursework.
• Master’s Degree Entry:  Some doctoral programs in business analytics are only open to candidates with a master’s degree.

Are you a bachelor’s degree candidate who’s interested in a PhD with a master’s degree entry? Talk to the program coordinator. You may be able to earn a graduate degree at the same university before transferring into the PhD track.

Skills & Proficiencies

A PhD in Business Analytics or a closely related field is a highly technical degree, so universities will often want to see evidence of skills & proficiencies in:

• Calculus and linear algebra
• Computer programming
• Quantitative fields (e.g. maths, statistics, operation research, supply chain management, etc.)

But they will also be looking for skills that all academic professors must have, including:

• Oral & written competencies
• Teaching & research talents

General Requirements

In addition to your academic transcripts, be prepared to submit:

• GRE or GMAT scores
• Letters of recommendation
• Statement of purpose
• TOEFL scores for non-English speaking international applicants

In particular, universities will be looking for candidates with strong quant & analytical scores on the GRE or GMAT.

PhD in Business Analytics: Tuition & Funding

How to fund the phd.

Doctorates in business analytics can be grouped into 2 categories:

• Fully funded PhD programs
• Tuition-driven PhD programs

Fully funded PhD programs are the norm in this field—they’re designed to prepare graduates to become academic professors.

Fully Funded PhD Programs

A fully funded PhD in Business Analytics means that the university pays for your education. They will waive all tuition costs and provide you with a living stipend as compensation for teaching & research activities.

• Assistantships: Most PhD in Business Analytics students work as Teaching Assistants (TAs), Research Assistants (RAs), or course instructors during their studies.
• Scholarships & Fellowships: Some high-potential candidates will also receive additional monetary awards on top of the standard living stipend.

Talk to the PhD program coordinator to learn more about funding packages. You may (or may not) qualify for:

• Conference stipends, travel support, research-related expenses & other perks
• Campus housing
• University health insurance
• Fee waivers
• Summer fellowships & financial support
• Professional membership dues

Most universities will cover funding for Years 1-4 of your degree. With certain PhD programs, Year 5 support will be conditional on strong academic performance.

Tuition-Driven PhD Programs

You’ll occasionally run into a doctoral program in business analytics that is tuition-driven. That means the university expects you to pay for the degree by yourself. A PhD in this category could cost between $50,000-$96,000.

• Be very cautious about this route! If you can’t get into a fully funded PhD program, consider a master’s degree in a relevant field of interest (e.g. MS in Business Analytics ) or a more flexible doctorate.
• You don’t need a PhD in Business Analytics to work in an industry role. It’s only going to be useful if you wish to become a university professor or top-level researcher.

Online PhD in Business Analytics Programs

Can you earn an online phd in business analytics.

Yes—with a caveat. Capitol Technology University offers an Online PhD in Business Analytics and Data Science , but we would classify this more as an “industry” data science degree than an “academic” business analytics doctorate. And you will have to pay for it.

Why Are Online PhD Programs in Business Analytics Hard to Find?

Quality control. Top-tier research universities and high-ranking Schools of Business want to ensure that doctoral students:

• Take full advantage of all of their campus facilities (e.g. research centers, labs, and technical infrastructures)
• Learn how to teach undergraduates in actual classrooms
• Collaborate with faculty, fellow students, and their dissertation advisor on a regular, in-person basis
• Be present for seminars, workshops & networking events with visiting experts

We back them up on this matter. If you’re going to commit to a PhD in a niche topic like business analytics, choose one that is fully funded and on-campus.

Career Prospects for PhD in Business Analytics Graduates

As we mentioned, a PhD in Business Analytics or a closely related field is a super-specialized and research-focused degree. It will prepare you for a couple of roles:

• Assistant Professor or Post-Doc Position: You’ll be teaching business analytics at the university level to undergraduates.
• Senior Research Position: Some niche positions in fields like finance & economics will require top-level research skills (e.g. Senior Statistician).

However, you don’t need a doctorate in business analytics to pursue a senior-level position within the industry:

• Many analytics experts simply have an MS and industry certifications .
• Many managers & CEOs have an MBA or DBA .

PhD Business Analytics FAQ

What should i look for in a business analytics doctoral program.

Start with our program listings . You can use the curriculum & admissions links to evaluate your degree options and create a shortlist of likely candidates. Once you have some names in mind, consider the following factors:

• Funding Package: Almost all PhD programs will be fully funded , but some will have better benefits than others. Ask about perks like health insurance, travel stipends, fellowship awards, and the like.
• School of Business Reputation: A PhD in Business Analytics will almost always be offered by a School of Business. Look for Schools that are AACSB-accredited , nationally ranked, and well-regarded in the academic community.
• Department Reputations: Investigate each department that’s offering PhD coursework & electives. What kinds of research labs & facilities do they have? Are they working on industry partnerships with the School of Business? Are they exploring new frontiers in analytics?
• Faculty Expertise: Faculty profiles will be featured on the PhD program website. These people will be your mentors & advisors, so get to know them. Read through their bios, meet them for a virtual coffee, and learn more about their research interests.
• Career Preparation: What kinds of Teaching Assistantship (TA) opportunities will you be offered? Will you be able to submit your PhD research papers to academic journals? Will you be encouraged to present at major business & analytics conferences?
• Academic Placements: The vast majority of PhD graduates in business analytics will go on to teach in universities. So find out where alumni have ended up. Some PhD programs provide a list of recent academic placements.
• STEM Designation:  International students who wish to work in the States after graduation should check and see if the doctorate is a STEM-designated program . This designation is needed to extend the OPT period for students on an F-1 Visa.

You may also want to look up past winners of the  UPS George D. Smith Prize from INFORMS. This prize is given to an academic department or program that prepares students to be good practitioners of operations research, management science, or analytics.

What is a Doctor of Business Administration (DBA)?

Like a PhD, a Doctor of Business Administration (DBA) is a terminal degree that includes a dissertation. However, the DBA focuses on applied research instead of original research. DBA students use existing practices and theories and apply them to real-world business problems. Examples of DBA offerings include:

• DBA in Business Intelligence
• DBA in Data Analytics
• DBA in Business Analytics

DBA vs. PhD

DBA students tend to be working professionals who want to explore an area of analytics or BI research that can be applied to their current jobs. They’re willing to pay for a 3-year doctorate that may be online or part-time. And they often secure consultancy & leadership positions within their industry.

PhD in Business Analytics students aspire to become academics, professors & top-level researchers. They’re willing to commit to 5 years of rigorous, in-person study and they’re happy to teach undergraduates, publish papers in academic journals, and live in a world of theoretical research.

What is AACSB Accreditation?

The Association to Advance Collegiate Schools of Business International (AACSB) is a global non-profit association that provides specialized accreditation to Schools of Business.

• Schools of Business must go through a stringent assessment process to earn AACSB accreditation. The AACSB evaluates the School’s mission, faculty qualifications, curricula, and ability to provide quality programs.
• You can use the AACSB’s handy tool to search for AACSB-accredited schools and filter by location, delivery, format, and even field (e.g. Operations Management, Data Analytics, etc.).

What is a STEM Doctorate?

A STEM doctorate is typically defined as any PhD that contains at least 50% of coursework in the fields of Science, Technology, Engineering & Mathematics.

• Are you an international student hoping to work in the States? Ask if the PhD has a “STEM designation” from the U.S. Department of Homeland Security (DHS). Students on an F-1 Visa can apply for Optional Practical Training (OPT) after graduation. With a STEM-designated degree, the OPT period can be extended from 12 months to 36 months.
• STEM programs often receive financial support from the government and private industries. That means universities may be able to offer more fully funded PhD programs in STEM fields.

Not all Business Analytics programs are STEM programs! For example, Pitt’s PhD in Business Analytics & Operations contains a lot of business coursework and is classified as a doctorate in Business Administration. Check with the PhD program coordinator before you make a choice.

Is a PhD in Business Analytics Worth It?

Only if it aligns with your career goals in research & academia. A PhD in Business Analytics or a closely related field is an intense, 5-year doctorate that prepares graduates for jobs as university professors & top-level researchers. It’s not designed for professionals who want a practical industry qualification.

Wondering whether to make the leap? Ask recent PhD graduates about their experiences. You’ll find them on LinkedIn, at industry conferences , and within faculty directories on university websites. Be ready to answer questions about your research interests & teaching aspirations. 

All Phd in Business Analytics Programs

University of south alabama.

Mitchell College of Business

Mobile, Alabama

Phd in Business Administration - Business Analytics Concentration

University of delaware.

Lerner School Business & Economics

Newark, Delaware

PhD in Financial Services Analytics (FSAN)

Phd in hospitality business analytics, florida international university.

College of Business

Miami, Florida

PhD in Business Administration - Information Systems and Business Analytics

Georgia state university.

Robinson College of Business

Atlanta, Georgia

PhD in Business Administration & Digital Innovation - Data Science & Analytics

University of illinois at urbana-champaign.

College of Liberal Arts & Sciences

Champaign, Illinois

PhD in Mathematics with a Concentration in Actuarial Science and Risk Analytics

Iowa state university.

Debby and Jerry Ivy College of Business

PhD with a Specialization in Information Systems and Business Analytics

University of iowa.

Tippie College of Business

Iowa City, Iowa

Massachusetts

Bentley university.

McCallum Graduate School of Business

Waltham, Massachusetts

PhD in Business, Concentration in Business Analytics

Cuny bernard m baruch college.

Zicklin School of Business

New York, New York

PhD in Operations & Decision Analytics

University of cincinnati.

Carl H. Lindner College of Business

Cincinnati, Ohio

PhD in Operations, Business Analytics and Information Systems

University of oregon.

Division of Graduate Studies

Eugene, Oregon

PhD in Operations and Business Analytics

Pennsylvania, drexel university.

LeBow College of Business

Philadelphia, Pennsylvania

PhD in Business - Business Analytics Specialization

University of pittsburgh-pittsburgh campus.

Katz Graduate School of Business

Pittsburgh, Pennsylvania

PhD in Business Analytics and Operations

The university of tennessee.

Haslam College of Business

Knoxville, Tennessee

PhD in Business Analytics & Statistics

15 Best Online PhD in Business Analytics & Intelligence [2024 Guide]

If you’re interested in furthering your expertise and advancing your career in mathematics, business operations, and research and data analysis, then pursuing an online PhD in Business Analytics may be the right path for you.

Editorial Listing ShortCode:

With a PhD in Business Analytics, you may be equipped for a rewarding career across a variety of industries and positions, from teaching and research in academia to roles in management and business operations, data science, economics, and leadership.

Universities Offering Online PhD in Business Analytics Degree Programs

Methodology: The following school list is in alphabetical order. To be included, a college or university must be regionally accredited and offer degree programs online or in a hybrid format.

1. American Public University

American Public University’s Doctor of Strategic Intelligence program is an option for students interested in careers in analytics and intelligence.

The curriculum focuses on the organizational, cultural, and intellectual barriers in the field. Students learn about both domestic and global intelligence through a mixture of research, hands-on practice, and multidisciplinary studies.

• Doctor of Strategic Intelligence

APUS is accredited by the Higher Learning Commission.

2. Capella University

The Doctor of Business Administration in Business Intelligence program at Capella University is accredited by the ACBSP and features a diverse faculty of distinguished scholar practitioners.

The program consists of 8 core courses and 4 specialized courses, and students must complete a doctoral research project to graduate. There are also 2 required residencies.

• DBA in Business Intelligence

Capella University is accredited by the Higher Learning Commission.

3. Capitol Technology University

Students in Capitol Technology University’s PhD in Business Analytics and Data Science program can tailor their elective courses to reflect their own personal career goals.

The curriculum includes courses such as management theory in the global economy, analytics and decision analysis, professional research theory and practice, and management of information.

• PhD in Business Analytics and Data Science

Capitol Technology University  is accredited by the Commission on Higher Education of the Middles States Association of Colleges and Schools.

4. Colorado Technical University

Colorado Technical University’s Doctor of Computer Science in Big Data Analytics program includes symposium experiences, an online curriculum, and a residency component.

The program can potentially be completed in 3 years, and grants and scholarships are available for qualifying students. There is an emphasis placed on research, and the curriculum reflects that.

• Doctor of Computer Science – Big Data Analytics

Colorado Technical University is accredited by the Higher Learning Commission.

5. Dakota State University

Dakota State University’s PhD in Information Systems program teaches students to develop, support, master, and maintain new innovations in the field of information technology.

The program is flexible and can be undertaken part- or full-time, either on campus or online. There are also three concentration options: health care, security, and analytics.

• PhD in Information Systems – Analytics

Dakota State University is accredited by the Higher Learning Commission.

6. George Fox University

Students enrolled in George Fox University’s Doctor of Business Administration can choose from three concentrations: accounting, management, or marketing.

In addition to concentration-specific courses, students will also take core business courses, education and teaching courses, and courses concerning doctoral research and their dissertations. The degree program requires 56 credits for completion.

• DBA in Management – Strategic Management

George Fox University is accredited by the Northwest Commission on Colleges and Universities.

7. Grand Canyon University

The Doctor of Business Administration in Data Analytics degree at Grand Canyon University is a quantitative research degree that equips students to create, interpret, and share data in professional settings. Students should gain foundations in analytics and prescriptive modeling and come to understand emerging issues in finance.

• DBA in Data Analytics

Grand Canyon University is accredited by the Higher Learning Commission.

8. Liberty University

Liberty University’s Doctor of Business Administration in Strategic Management program is 100% online, is accredited by the ACBSP, and provides students with the procedure and policy skills necessary for business leadership positions.

Notable courses include ethical leadership, strategic leadership and management, organizational and executive coaching, and workforce planning and employment.

• DBA in Strategic Management

Liberty University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

9. National University

National University offers a Doctor of Philosophy in Data Science that can typically be completed in 40 months. The program requires the completion of 20 courses for a total of 60 credits.

The curriculum explores topics such as predictive analytics, data visualization, data curation, critical analysis, and quantitative research.

• PhD in Data Science

National University is accredited by the Western Association of Schools and Colleges.

10. Regent University

Regent University offers a Doctor of Strategic Leadership degree program that takes a Christian approach to structure, leadership, communication, cultural understanding, and team building.

There are ten concentrations from which students can choose, including an individualized concentration that allows them to customize their curriculum to meet their unique career objectives.

• Doctor of Strategic Leadership

Regent University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

11. South Dakota State University

The PhD in Computational Science and Statistics program at South Dakota State University features a concentration in Data Science for students interested in business analytics.

Applicants are encouraged to have strong quantitative, communication, and problem-solving skills as well as the ability to unravel complex situations. Statistical methodologies and research are key curriculum components.

• PhD in Computational Science and Statistics – Data Science

South Dakota State University is accredited by the Higher Learning Commission.

12. Southeastern University

Southeastern University’s strategic leadership doctoral program features mostly online coursework with a few one-week intensives mixed in as well.

Courses in this program include leadership theory, situational and transformational leadership, cultural intelligence, followership, teamwork dynamics, and servant and authentic leadership. The university accepts financial aid and offers payment plans to students who qualify.

• Doctorate in Strategic Leadership

Southeastern University  is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

13. Temple University

Students interested in business analytics at Temple University can enroll in the PhD in Business Administration program and select the Strategic Management concentration.

The program has AACSB accreditation and must be undertaken in a full-time capacity. It generally takes 7 years for completion, and financial aid and assistantships are available for qualifying students.

• PhD in Business Administration – Strategic Management

Temple University  is accredited by the Middle States Commission on Higher Education.

14. University of Central Florida

University of Central Florida’s PhD in Big Data Analytics provides students with statistics foundations and teaches them to analyze large amounts of data. Students should learn about data mining, statistical analysis, computer science and text, and predictive analytics. After graduating, students should be equipped for careers as data analysts and scientists.

• PhD in Big Data Analytics

The  University of Central Florida  is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

15. Walden University

Walden University offers a PhD in Management Information Systems with a concentration in Management.

It examines business organizations from every aspect, including management, technology, processes, systems, and the people who work there. Course topics include cloud computing, strategic direction, big data, systems integration, and systems architecture. Four residencies are required.

• PhD in Management – Information Systems Management

Walden is accredited by The Higher Learning Commission.

Online Doctorate in Business Analytics Programs

A doctorate in business analytics is considered a Big Data PhD. You may be required to complete a variety of advanced-level courses that cover topics such as supply chain management, business analytics, business operations, and project management.

Other courses may cover research methodology, empirical analysis, data modeling, and advanced statistics. In addition to standard coursework, some PhD programs in business analytics may require you to complete a research-based dissertation in order to complete the program and obtain your degree.

With a PhD in Business Analytics, you may be prepared for a rewarding career in academia as a professor, a researcher, or even both. As a professor, you would instruct students in various content areas related to your business analytics specialty and participate in the development of the course curriculum.

Choosing a career as a researcher may allow you to conduct research, collect and analyze data, report research findings to various stakeholders, and contribute to growth and progress in your field.

There are also a number of positions outside of the realm of academia that may be open to you with a doctorate in business analytics. These positions include economist, management analyst, data scientist, statistician, mathematician, and actuary. You may also qualify for top-level executive positions, such as a chief data officer.

In these positions, you may be responsible for analyzing data using statistical and analytical software and making recommendations to business leaders based on data, trends, and forecasts in relation to business operations.

With a PhD in Business Analytics, you may also lead the collection, analysis, evaluation, and reporting on various types of data within a business.

The evaluation of risks faced by businesses concerning finance and operations, the creation of statistical models for use in data analysis, and the implementation of information systems may also fall under your job description.

Business Analytics Careers & Salaries

Positions for business analytics expertise exist within a diverse range of industries, including academia, finance and business firms, and public and private businesses. You may even become an independent consultant operating your own business.

According to the Bureau of Labor Statistics , there are a number of career options to choose from if you pursue a PhD in Business Analytics.

A number of positions that suit a PhD in Business Analytics are forecast to see significant job growth over the coming decade. For example, job growth is predicted for financial analysts (5%), postsecondary teachers (9%), management analysts (11%), economists (14%), and actuaries (18%).

Careers including operations research analysts and mathematicians or statisticians are expected to experience remarkable growth, with increases over the next several years projected at 25% and 33%, respectively.

PhD in Business Analytics Curriculum & Courses

A doctorate program in business analytics will include coursework that covers advanced mathematics, business operations, decision-making, and data analysis and visualization.

Courses included in a doctoral business analytics program may include those listed below:

• Supply Chain Analysis : An in-depth look at supply chain management strategies, decision-making, planning and forecasting, and asset control systems
• Microeconomics : Analysis of decision-making within businesses, utilizing various economic theories
• Multivariate Statistical Analysis : An overview of several multivariate methods and the hands-on application of related techniques, building on existing knowledge of mathematics, statistics, and algebra
• Data Structures : Analysis of different data structures and the ideal uses for each structure type within a business.
• Advanced Decision Technologies : Review of available decision support technologies, including a look at the limitations of use and possible alternatives
• Management Theory in a Global Economy : Exploration of management theories in relation to existing business practices and in the context of global trade and economics
• Decision Analysis : Overview of predictive analytic methods, data mining, and a review of technologies used in the analysis process
• Data Visualization : A review of data modeling methods and best practices, the use of R software for data analysis, and approaches for the presentation of data and findings
• Professional Ethics : Exploration of ethical practices in business and the impact decisions have in a cultural, legal, and social context
• Information Systems Implementation : Exploration of organizational change management practices in relation to design, implementation, and use of new information systems to improve organizational performance

While the specific structure of each degree program differs, earning your PhD in Business Analytics may also require you to complete a significant amount of research and to complete a formal dissertation.

Admissions Requirements

Admission requirements for online PhD in Business Analytics programs vary from school to school, but they may include the items listed below.

• GMAT or GRE scores, if required : Schools may require your GMAT or GRE score, and in some cases, they may have specific score thresholds or requirements for admission.
• Letter of recommendation : One or more letters of recommendation may be requested to provide detail around your strengths, weaknesses, and experience in relation to the program.
• Interview : An in-person interview may be required to assess your fit for the program, along with your overall purpose and motivation for enrollment.
• Transcripts : Transcripts from previous studies in a bachelors or masters degree program may be requested to verify the quality of your previous education.

Similar to a masters in business analytics online , additional admission standards may be required depending on the schools you’re applying to. Other requirements may include a statement of purpose, your resume, or a verification of English proficiency.

Accreditation

Regional accreditation certifies that the quality of an academic program meets a predetermined set of standards. The overall regard of an academic program, including the ability to transfer credits completed in that program, is impacted by its accreditation status.

Accreditation may also be an important consideration for employers, playing a key role in hiring decisions made by the recruitment team or hiring manager. Additionally, various certification associations or professional societies may require members to hold a degree from an accredited institution in order to be eligible for membership with the association.

Before applying to or enrolling in a doctoral program in business analytics, you may consider reviewing the accreditation status of the program via the website for the US Department of Education .

Financial Aid and Scholarships

While pursuing a PhD in Business Analytics may be a costly undertaking, you might be eligible for financial aid and scholarships that can help ease the financial burden of your degree.

You may qualify for federal or state aid programs in the form of loans and grants. While loans generally require repayment after a certain time period, grants usually do not need to be repaid once your studies are completed.

Additional funding support may be available to you in the form of scholarships, which can be offered by private organizations to fund your studies and do not require repayment. Some schools may offer funding packages to help cover the cost of your doctorate.

The structure of funding packages and eligibility may vary from school to school, but they often include coverage of tuition fees, a stipend for living expenses incurred while completing your degree, and access to health and dental benefits.

You can explore various financial aid and scholarship opportunities via the Federal Student Aid website, and here you can also fill out the Free Application for Federal Student Aid.

What Can You Do with a PhD in Business Analytics?

With a PhD in Business Analytics, you may be qualified for a career in various sectors, such as academia, public or government organizations, private businesses, financial firms, insurance agencies, consultancies, and more.

According to the Bureau of Labor Statistics, careers in the field of business analytics may include actuary, mathematician, economist, management analyst, business operations specialist, and data analyst.

Earning your PhD in Business Analytics online may also allow you to become a faculty member within a postsecondary institution. As a member of the faculty, you would be a professor in content areas related to your expertise.

How Long Does It Take to Get an Online PhD in Business Analytics?

If you enroll in a full-time PhD program in business analytics, it may take between 3 to 5 years to obtain your degree. The length of a program will vary from school to school and depend on the overall program structure and graduation requirements.

Some schools and programs may allow you to complete your PhD on a part-time basis. This may increase the amount of time it takes for you to complete your degree. In some cases, part-time studies in a PhD program may take 6 to 8 years to complete.

A beneficial move may be to first earn an on-campus or online graduate certificate in business analytics , which is earned after completing a masters degree, to see if this field is the one you want to pursue. In many cases, the credits earned in a certificate program will transfer to a doctorate program.

Certain PhD programs may require you to finish all program components within a specific time frame in order to obtain your degree, so it may be strategic to review all school and degree details before enrolling in a program.

What’s the Difference Between Business Analytics vs. Business Intelligence?

An online business intelligence degree program uses descriptive analytics and places importance on the collection and storage of data and information. Business analytics, on the other hand, focuses on the use of that information to make informed decisions for a business.

Both business intelligence and business analytics are used to help organizations make better decisions. The key difference is that business intelligence uses past and current data while business analytics uses predictions and future case analysis.

Due to the intricate nature of business intelligence and analytics, an online PhD in Business Intelligence may be a stand-alone program or part of a comprehensive doctoral program in business intelligence and business analytics.

What’s the Difference Between Business Analytics vs. Data Analytics?

Business analytics places greater emphasis on the role of data within a business or organization for decision-making. This includes those related to supply chain management, market trends, business operations, and project management.

Data analytics refers to the technical process of working with data and preparing it for the business analytics and decision-making process. Data analytics is also used more broadly than business alone and plays an important role in science, healthcare, and government organizations.

What’s the Difference Between Business Analytics vs. Data Science?

Data science involves the analysis of data and information using mathematical and statistical methods and programs. Unlike business analytics, data science does not narrow in on the use of that data in decision-making for a business.

In contrast, business analytics incorporates the analysis of data using statistical approaches with insights gained from the analysis process to help make better and more informed business decisions.

Business analytics can contribute to decision-making in relation to management and business operations, logistics, economics, market trends, and financial risk.

Is a PhD in Business Analytics Worth It?

Yes, a PhD in Business Analytics is worth it for many students. According to the Bureau of Labor Statistics, business and financial jobs are set to grow at 5% over the next 10 years, faster than the average for all occupations.

Common business analytics careers in this field include postsecondary teachers, economists, researchers, statisticians, and business operations specialists.

In a business analytics career, you may work on projects that require regular use of mathematical expertise, business operations knowledge, research skills, and advanced understanding of data analysis practices.

Getting Your Doctorate in Business Analytics Online

Earning a PhD in Business Analytics may offer you a challenging opportunity to advance your career and expertise in mathematics, research, and data analysis. You could grow your skill set and explore the impact that data has on the decision-making process within a business or organization.

Accredited PhD programs in business analytics may include coursework that covers data analysis and visualization, statistical and mathematical analysis, business operations, management theory, and use and implementation of information systems.

Positions in the field of business analytics offer an above-average annual salary and are predicted to see significant growth over the coming years. Earning your doctorate in the field of business analytics may allow you to lead a rewarding career in academia, research, business, and public or government institutions.

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Earn your MBA and SM in engineering with this transformative two-year program.

Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only.

A doctoral program that produces outstanding scholars who are leading in their fields of research.

Bring a business perspective to your technical and quantitative expertise with a bachelor’s degree in management, business analytics, or finance.

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An interdisciplinary program that combines engineering, management, and design, leading to a master’s degree in engineering and management.

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This 20-month MBA program equips experienced executives to enhance their impact on their organizations and the world.

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PhD Program

Program overview.

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Rigorous, discipline-based research is the hallmark of the MIT Sloan PhD Program. The program is committed to educating scholars who will lead in their fields of research—those with outstanding intellectual skills who will carry forward productive research on the complex organizational, financial, and technological issues that characterize an increasingly competitive and challenging business world.

Start here.

Learn more about the program, how to apply, and find answers to common questions.

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Check out our event schedule, and learn when you can chat with us in person or online.

Start Your Application

Visit this section to find important admissions deadlines, along with a link to our application.

Click here for answers to many of the most frequently asked questions.

PhD studies at MIT Sloan are intense and individual in nature, demanding a great deal of time, initiative, and discipline from every candidate. But the rewards of such rigor are tremendous:  MIT Sloan PhD graduates go on to teach and conduct research at the world's most prestigious universities.

PhD Program curriculum at MIT Sloan is organized under the following three academic areas: Behavior & Policy Sciences; Economics, Finance & Accounting; and Management Science. Our nine research groups correspond with one of the academic areas, as noted below.

MIT Sloan PhD Research Groups

Behavioral & policy sciences.

Economic Sociology

Institute for Work & Employment Research

Organization Studies

Technological Innovation, Entrepreneurship & Strategic Management

Economics, Finance & Accounting

Accounting  

Management Science

Information Technology

System Dynamics  

Those interested in a PhD in Operations Research should visit the Operations Research Center .  

PhD Program Structure

Additional information including coursework and thesis requirements.

MIT Sloan Predoctoral Opportunities

MIT Sloan is eager to provide a diverse group of talented students with early-career exposure to research techniques as well as support in considering research career paths.

Rising Scholars Conference

The fourth annual Rising Scholars Conference on October 25 and 26 gathers diverse PhD students from across the country to present their research.

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The goal of the MIT Sloan PhD Program's admissions process is to select a small number of people who are most likely to successfully complete our rigorous and demanding program and then thrive in academic research careers. The admission selection process is highly competitive; we aim for a class size of nineteen students, admitted from a pool of hundreds of applicants.

What We Seek

• Outstanding intellectual ability
• Excellent academic records
• Previous work in disciplines related to the intended area of concentration
• Strong commitment to a career in research

MIT Sloan PhD Program Admissions Requirements Common Questions

Dates and Deadlines

Admissions for 2024 is closed. The next opportunity to apply will be for 2025 admission. The 2025 application will open in September 2024. 

More information on program requirements and application components

Students in good academic standing in our program receive a funding package that includes tuition, medical insurance, and a fellowship stipend and/or TA/RA salary. We also provide a new laptop computer and a conference travel/research budget.

Funding Information

Throughout the year, we organize events that give you a chance to learn more about the program and determine if a PhD in Management is right for you.

PhD Program Events

May phd program overview.

During this webinar, you will hear from the PhD Program team and have the chance to ask questions about the application and admissions process.

June PhD Program Overview

July phd program overview, august phd program overview.

Complete PhD Admissions Event Calendar

Unlike formulaic approaches to training scholars, the PhD Program at MIT Sloan allows students to choose their own adventure and develop a unique scholarly identity. This can be daunting, but students are given a wide range of support along the way - most notably having access to world class faculty and coursework both at MIT and in the broader academic community around Boston.

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Profiles of our current students

MIT Sloan produces top-notch PhDs in management. Immersed in MIT Sloan's distinctive culture, upcoming graduates are poised to innovate in management research and education.

Academic Job Market

Doctoral candidates on the current academic market

Academic Placements

Graduates of the MIT Sloan PhD Program are researching and teaching at top schools around the world.

view recent placements 

MIT Sloan Experience

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The PhD Program is integral to the research of MIT Sloan's world-class faculty. With a reputation as risk-takers who are unafraid to embrace the unconventional, they are engaged in exciting disciplinary and interdisciplinary research that often includes PhD students as key team members.

Research centers across MIT Sloan and MIT provide a rich setting for collaboration and exploration. In addition to exposure to the faculty, PhD students also learn from one another in a creative, supportive research community.

Throughout MIT Sloan's history, our professors have devised theories and fields of study that have had a profound impact on management theory and practice.

From Douglas McGregor's Theory X/Theory Y distinction to Nobel-recognized breakthroughs in finance by Franco Modigliani and in option pricing by Robert Merton and Myron Scholes, MIT Sloan's faculty have been unmatched innovators.

This legacy of innovative thinking and dedication to research impacts every faculty member and filters down to the students who work beside them.

Faculty Links

• Accounting Faculty
• Economic Sociology Faculty
• Finance Faculty
• Information Technology Faculty
• Institute for Work and Employment Research (IWER) Faculty
• Marketing Faculty
• Organization Studies Faculty
• System Dynamics Faculty
• Technological Innovation, Entrepreneurship, and Strategic Management (TIES) Faculty

Student Research

“MIT Sloan PhD training is a transformative experience. The heart of the process is the student’s transition from being a consumer of knowledge to being a producer of knowledge. This involves learning to ask precise, tractable questions and addressing them with creativity and rigor. Hard work is required, but the reward is the incomparable exhilaration one feels from having solved a puzzle that had bedeviled the sharpest minds in the world!” -Ezra Zuckerman Sivan Alvin J. Siteman (1948) Professor of Entrepreneurship

Sample Dissertation Abstracts - These sample Dissertation Abstracts provide examples of the work that our students have chosen to study while in the MIT Sloan PhD Program.

We believe that our doctoral program is the heart of MIT Sloan's research community and that it develops some of the best management researchers in the world. At our annual Doctoral Research Forum, we celebrate the great research that our doctoral students do, and the research community that supports that development process.

The videos of their presentations below showcase the work of our students and will give you insight into the topics they choose to research in the program.

How Should We Measure the Digital Economy?

2020 PhD Doctoral Research Forum Winner - Avinash Collis

Watch more MIT Sloan PhD Program  Doctoral Forum Videos

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PhD Business Analytics

An honours degree (normally at least 2:1 or above) in an appropriate discipline.

IELTS entry requirement is normally 6.5, TOEFL 550 (213 CBT) or equivalent for overseas students.

About the course

A PhD in Business Analytics offers an internationally recognised degree signifying high levels of achievement in research. It develops extensive subject expertise and independent research skills which are honed over an extended period, depending on the level of the award.

As part of your research degree, you will:

• undertake a substantial, original research project for the duration of the degree, under the supervision and guidance of two or more academic members of staff.
• be provided with guidance from your supervisory team, both in the selection of a research topic and in the conduct of the research.
• attend postgraduate seminar series to develop subject specific knowledge and research skills relevant to your field of research.
• present your work at major conferences and in refereed research publications.

The degree is assessed solely on the final, written thesis which must be "defended" in a viva.

A PhD is a not a taught course. You will initiate your own learning and development through seeking out opportunities provided by the University.

The programme can be undertaken on a full or part time basis and we will endeavour to provide a fully supportive research and learning environment with flexible supervision.

Your supervisors will have both subject and PhD supervision experience. They will assist and support you throughout your time with us, enhancing your experience and helping you to make the most of your research learning.

How to Apply

To apply for a PhD at the University of Hertfordshire you should have a specific developed area of focus. It is recommended that you have an established track record / experience in your desired area to support your application.

The quality of your research proposal, your suitability for pursuing higher research and our capacity to supervise the chosen topic are the principle criteria for admission. You will need to submit a written research proposal and personal statement to the Doctoral College but informal discussion before formal application is strongly encouraged.

To apply, please email [email protected]

What’s next for my career?

You want to gain: 

• An internationally recognised research qualification
• Advanced subject expertise at postgraduate level
• Research skills through practice and extensive research experience

Employers are looking for high calibre graduates with advanced skills who can demonstrate independence through research.

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The School of Business encourages and fosters a rich research-oriented environment for faculty and doctoral candidates. Students can choose from a variety of topics reflecting the varied research interests of our faculty. The Ph.D. Program is intended to prepare students to conduct original research; i.e., to explain phenomena previously not well understood and then to test proposed explanations empirically.

• Accounting standards-setting
• Analyst forecasts
• Corporate financial reporting issues
• Initial Public offerings
• Internal control
• Mergers and acquisitions
• Securities regulation in international capital markets
• Taxes and business decisions
• Asset pricing models
• Corporate management behavior
• Risk management
• Corporate governance
• Financial distress and default
• Credit risk
• International finance
• Macro finance
• Real options
• Institutional investors
• Mutual funds
• Hedge funds
• Market efficiency
• Cost of capital
• Bank competition
• Culture and finance
• Environmental impacts on real estate value
• Capital structure
• Dividend policy
• Insurance markets
• Healthcare finance
• Teams in organizations
• Empowerment and empowering leadership
• Social networks
• Multi-level theory
• Strategic entrepreneurship
• Corporate alliance and networks
• Learning process
• Creativity and innovation
• Strategic human resource management
• International expansion
• Long-term decision making
• Big data anlytics, Branding in developed and emerging markets
• Cross-cultural research
• Cognitive computing applications
• Consumer search and decision  making
• Consumer social networks and social media
• Creativity, identity and emotions
• Digital marketing and analytics
• Digital strategies for customer relationship management
• E-commerce and online retailing
• Global citizenship and consumer behavior
• International marketing
• Interpersonal social networks and social capital
• Marketing-finance interface
• Mobile and digital marketing
• Sales management and innovation
• Product design
• Social interaction and peer effects
• Quality and innovation

Operations & Information Management

• Auction theory and applications
• Database design and security
• Database management
• Distributed computing and client/server technology
• Electronic commerce
• Economics of information and information systems
• Healthcare information systems
• Management of technology
• Manufacturing systems, planning and strategy
• Supply chain management
• Telecommunication and network modeling and analysis
• Applications of operations research and other optimization techniques to areas such as product design, production scheduling, and facility location

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Phd program menu, phd program, operations and business analytics phd program.

The Lundquist College of Business Doctoral Program in Operations and Business Analytics prepares students seeking academic and research careers.

Operations and Business Analytics concerns how organizations should optimize business processes (e.g., production, distribution) and policies (e.g., staffing, pricing) both internally and within the broader supply chain. 

Researchers in the operations and business analytics area address these complex decisions using rigorous research methods that require a solid foundation in model building, theory development, and data analysis. These foundational skills reflect the strength of the Lundquist College's Department of Operations and Business Analytics, whose faculty work closely with students within the doctoral program. 

In addition to its faculty, the Department of Operations and Business Analytics spans the areas of information systems and statistics, allowing doctoral students to benefit from coursework and research opportunities in two areas complementary to the operations and business analytics area. Due to the quantitative orientation of this PhD option, students entering the program should have interests that lie at the intersection of applied mathematics and business research.

Operations and Business Analytics PhD Coordinator Associate Professor Eren Çil [email protected]

Department of Operations and Business Analytics

Operations and Business Analytics Faculty

Operations and Business Analytics Research

The required coursework for the Operations and Business Analytics doctoral program falls within three categories: supporting, core, and specialization. PhD students are expected to plan their course schedules after consulting with their faculty advisor, to help ensure that coursework is sequenced appropriately.

PhD students focus on the core classes during the first two years of their studies, in preparation for the qualifying exam. The supporting courses in microeconomics and linear algebra in particular are also useful background material for the exam and thus should be completed within the first two years. While the full set of supporting courses is a formal requirement for completing the PhD, incoming students with equivalent prior coursework may be able to obtain a written waiver from the PhD coordinator for some or all of those courses, as a result of having equivalent prior coursework.

In the second or third year of the PhD program and beyond, students choose a set of specialization courses to gain exposure to new methodologies and problem areas.

View Course Catalog

Core Courses

Completed prior to the qualifying exam.

• Probability and Statistics (Math 561/562)
• Regression (OBA 635)
• Optimization methods (e.g., OSU IE 521)
• Operations management: inventory management, supply chains, service operations, closed-loop operations, operations planning and control, and math programming.
• Information systems: object-oriented design, databases, congestion management, and pricing.
• Statistics: time series analysis, data mining, and advanced econometrics.

*Throughout the duration of the PhD program, all full-time PhD students must enroll in these Operations and Business Analytics research seminars.

Supporting Courses

• First-year MBA courses or equivalent in: accounting, finance, marketing, statistics (and, if deemed necessary: operations management and information services).
• Microeconomics (e.g., Econ 511)
• Linear Algebra (e.g., Math 541)

Specialization Courses

Functional area focus   (choose at least three).

• OBA 533: Information Analysis for Managerial Decisions
• OBA 544: Business Database Management Systems
• OBA 566: Project and Operations Management Models
• OBA 577: Supply Chain Operations and Information
• OBA 588: eBusiness

Research Methods Focus (Choose at Least Three)

• OBA 610: Multivariate Methods
• OSU IE 563: Advanced Production Planning & Control
• OSU IE 521/522: Industrial Systems Optimization I/II
• OSU ST 583: Non-Linear Optimization
• OSU ST 515: Design of Experiments
• OSU ST 543: Applied Stochastic Models
• Math 513: Introduction to (Real) Analysis
• Math 555: Mathematical Modeling
• Math 556: Networks and Combinatorics
• Math 564/565/566: Mathematical Statistics I / II / III
• Econ 523/524/525: Econometrics
• Econ 527: Games and Decisions

Note: the above courses with the OSU prefix are taught at nearby Oregon State University —typical OSU tuition fees are waived for full-time University of Oregon students.

2024 Best Online PhD in Business Analytics and Intelligence [Doctorate Programs]

To study the latest innovations in data analysis and business decision-making, consider earning your PhD in Business Analytics.

This degree program can help you advance to the top of this field and prepare you for exciting job opportunities in business or academia.

Editorial Listing ShortCode:

Business analytics professionals know how to evaluate data and base sound decisions on their findings. It’s a skill that’s greatly in demand in today’s business world, so earning this doctoral degree may help you qualify for a position in a top school or a leading organization.

Online PhD in Business Analytics Programs

Experts in business analytics use data to inform business decisions. They work with large sets of data, run analyses, and produce models.

The idea is to gain information that will lead the best decisions about future growth and development. For example, business analytics may help leaders make decisions about workflow schedules, transportation routes, cost management, and advertising strategies.

If you want to be a business leader in this field, an analytics master’s degree can help you achieve that goal. But perhaps your ambition is to be on the cutting edge of business analytics research. In that case, you may want to earn a Ph.D. in Business Analytics instead. Having a doctoral degree could help qualify you for a variety of leading academic or research positions.

Your areas of study for this degree might include:

• Academic writing
• Business intelligence
• Data science life cycle
• Data structures
• Decision-making
• Information systems
• Quantitative analysis
• Research skills

As you go through a PhD program, you may have the opportunity to specialize in a particular area of this field. Some people focus on business analytics for certain industries, such as manufacturing, construction, or healthcare.

Others want to learn as much as they can about optimizing a certain aspect of business, such as personnel management or supply chains. It’s very common to complete a dissertation as part of this degree program. You’ll likely conduct an original research project, write an extensive paper on your findings, and present your research to a panel of academics. This impressive undertaking may span several years.

Business analytics PhD programs are available online. With distance learning, you might be able to divide your time between working and going to school. Your program options might include fully online studies as well as hybrid programs that include some on-campus requirements. No matter which approach you choose, you’ll likely have opportunities to take interesting classes, engage with faculty, and connect with industry leaders.

Your primary goal with this degree may be to work as an academic—such as a college professor. Some graduates choose to keep working as practitioners with leadership roles in a large corporation.

Business Analytics Careers and Salaries

Earning a PhD can help prepare you for a career in academia. Most universities require that level of education for tenure-track positions. Your job responsibilities as a college faculty member might include both teaching and research opportunities.

You don’t have to work at a university to become a researcher, though. Data scientists may work for tech companies, research and development firms, insurance companies, and corporations. The job may involve collecting data, analyzing it, and visualizing the findings.

While a PhD is often considered an academic degree, that doesn’t mean you can only choose a teaching or research career if you have this job. Your advanced credentials can also be applied to a variety of business leadership roles.

According to the Bureau of Labor Statistics , management occupations overall produce a median annual salary of $107,360. While that’s certainly not the only job category in which graduates can work, it is a popular one.

Many management roles call for industry experience as well as advanced education. Many organizations hire various analysts, and business analytics experience could make you a fit for one of those roles. For example, there are management analysts, operations research analysts, and market research analysts.

Often, analysts don’t just evaluate data. They also make decisions based on their evaluations, or they share their recommendations with those who will make the final decisions. Operations management and project leadership are other places where people with this degree can shine.

Possible operations roles could include production manager, logistics manager, operations manager, or chief operating officer (COO). Someone interested in project leadership might work as a project management specialist or director.

Business Analytics PhD Curriculum & Courses

You’ll probably take classes for a few years before focusing all of your attention on your PhD dissertation. Doctoral students often have a lot of flexibility in course selection, but your curriculum may include some of the following classes:

• Applied Statistics : In this advanced statistics course, you’ll cover regression analysis, statistical computing, model diagnostics, and statistical inference.
• Big Data : As a business analytics student, it’s beneficial to learn how to work with, organize, and glean information from large data sets.
• Data in Decision-Making : You can take a class that equips you for conducting predictive analysis—making decisions about the future based on past data.
• Decision Technology Platforms : As you check out decision technologies on the market today, you’ll discuss the benefits and drawbacks of this type of software.
• Doctoral Research Methodologies : This course, which will cover both quantitative and qualitative research, can help you prepare for your dissertation.
• Data Visualization : You can learn how to turn sets of data into graphs and other visual models.
• Econometrics : The field of econometrics uses ideas from math and statistics to conduct economic analyses.
• Information Security : The focus of this class is on protecting data and making sure that it doesn’t fall into the wrong hands.
• Mathematical Programming : You’ll use what you know from calculus and linear algebra to produce linear programming models.
• Microeconomics : While you may have studied this topic during earlier programs, your PhD-level microeconomics course will explore advanced theories and applications.

Your program might include a smaller research project in addition to your major dissertation.

PhD in Analytics Admissions Requirements

Getting into a PhD program can be competitive. It’s beneficial to present a strong application packet that showcases why you would be a good addition to the program. Common admissions requirements include:

• GMAT or GRE scores (not required by all colleges)
• Recommendation letters from professors or supervisors
• Resume that shows your professional experience
• Transcripts from all colleges you have attended
• Written statement about why you have chosen to apply

It’s helpful to pay attention to the application deadline so that you can submit your materials well ahead of time.

Accreditation

It’s beneficial for your business intelligence and analytics PhD to come from a regionally accredited college . That’s the best way of ensuring that you will receive a respected education, whether you enroll online or in a campus-based program.

Regional accreditation may have a say in whether you qualify for scholarships or other financial aid. It can affect whether your coursework transfers or you get into a post-doc program as well. Also, regionally accredited degrees are typically preferred by employers and can make a difference in getting the job that you want.

Financial Aid and Scholarships

With the right financial aid in place, PhD programs in business analytics may be more affordable than you’re expecting.

One thing to remember is that many PhD candidates are able to study for free in exchange for teaching or research help. Colleges may even provide a stipend. This arrangement is more likely for students who are attending school on-campus, but some online programs may offer such benefits as well.

If you need alternative funding, government loans, whether state or federal, may be able to help. You can fill out the Free Application for Federal Student Aid (FAFSA) to learn more about your eligibility. Some students also get scholarships or fellowships. Scholarship money might go toward your tuition costs.

Fellowships could help pay for your research or another educational endeavor, such as travel or conference registration. You can also look into whether your employer is willing to cover any of your costs.

What Is a Business Analytics PhD Degree?

A PhD in Business Analytics degree is a terminal degree for students who want to investigate the idea of using data to inform business decisions.

Big data is emphasized in this program. Students study topics like regression analysis, linear programming, and data visualization. Completing a PhD usually requires undertaking a major research project. Students often have to write and defend a dissertation.

As a research-focused program, this degree often leads to a future in academia. It could also be a useful degree for business analysts or managers, particularly those in operations or project leadership.

What Can You Do with a Doctorate in Business Analytics?

Business analytics PhD programs are beneficial for people who want to teach at the college level. This terminal degree puts some students on the path to becoming tenured professors. Working as a data scientist is another possibility.

According to the Bureau of Labor Statistics, people in this math-heavy line of work often earn above average salaries. The expert knowledge acquired in a PhD program could also be useful for the field of business operations—such as an operations analyst, a production manager, or a chief operating officer. Other ideas include working in management analytics or market research analytics.

Can You Get a PhD in Business Analytics Online?

There are online programs available for students who want to study business analytics at the doctoral level. You can look for fully online programs, or you can consider ones with limited on-campus requirements. In that case, you’d do most of the work online but might occasionally go to campus for intensive courses, face-to-face meetings, or your dissertation defense.

This PhD program is not as common as others, though. If you’re having trouble finding the business analytics program that’s the perfect fit for you, you might consider a related field, such as data science or business intelligence.

How Long Does It Take to Get a PhD in Business Analytics Online?

It might take you around 5 years to earn an online business analytics PhD. There’s variation, though. Some students get done in about 3 years. Others take more than 5 years, especially if they are part-time students.

Typically, students spend about 2 to 3 years doing coursework. The next year is focused on preparation for the dissertation. It may take a few years beyond that to carry out and complete the project. While it’s not a guarantee, online classes sometimes help students get through the coursework portion more quickly.

Should I Get a PhD in Business Analytics?

If you want to be thought of as an expert in the field of business analytics, then this could be a strategic degree for you. It can take a lot of work, though, so it’s necessary to be willing to commit for several years. Also, having math and programming skills can benefit you a lot.

This degree is aimed toward people who want to work in academia. If your main goal is to be a manager or a business executive, then your preferred role might not require as much training. A master’s degree is often sufficient for such roles.

What’s the Difference Between a PhD in Business Analytics vs. Data Analytics?

If you want to work with data, then you may be thinking about studying either business analytics or data analytics.

If you want to be directly involved in the decision-making process, then you might consider a degree in business analytics.

What’s the Difference Between a PhD in Business Intelligence vs. Business Analytics?

Before deciding whether to get your PhD in the field of business intelligence or business analytics, you may want to make sure you understand how these two areas differ.

Business analytics is a newer field than business intelligence.

What’s the Difference Between a PhD in Business Analytics vs. Data Science?

Business analytics experts often use data science techniques, but PhDs in these two areas have slightly different areas of focus.

If you want to be a decision-maker, then business analytics could be a fitting choice. If you want to be a technical expert, then you might consider a data science degree.

Is a PhD in Business Analytics Degree Worth It?

Yes, a PhD in Business Analytics degree is worth it for many students. This is an up-and-coming field with a good deal of growth potential. Many cutting-edge companies are eager to hire business analytics professionals.

For example, the Bureau of Labor Statistics predicts a 23% growth rate for operations research analyst positions over the next ten years. Also, if you want to become an academic in the field of business analytics, it may be necessary to have this degree. Most full-time university teaching and research positions require holding a doctorate.

Universities Offering Online PhD in Business Analytics Degree Programs

Methodology: The following school list is in alphabetical order. To be included, a college or university must be regionally accredited and offer degree programs online or in a hybrid format.

Belhaven University offers a Doctor of Business Administration. Concentrations are available in Business Intelligence and Analytics, Cybersecurity, Health Administration, Human Resources, Project Management, and Strategic Management. Classes meet fully online and are 7 weeks long. The program requires 12 credits in the chosen concentration and 60 total credits.

Belhaven University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

Capitol Technology University offers an online Doctor of Philosophy in Business Analytics and Data Science. This curriculum aims to teach the skills applicable to a broad range of industries and fields. Depending on prior education, the program requires 54 to 66 credit hours to graduate. On average, the required coursework can be completed in 3 years.

Capitol Technology University is accredited by the Commission on Higher Education of the Middle States Association of Universities and Schools.

Colorado Technical University offers a Doctor of Computer Science in Big Data Analytics. Potential courses include Futuring and Innovation, Tools for Big Data Analytics, and Qualitative Research Methods. The curriculum is 100% online and requires 100 credits. Incoming applications are reviewed 3 times each year in summer, fall, and winter terms.

Colorado Technical University is accredited by the Higher Learning Commission.

George Fox University offers a Doctor of Business Administration. Those passionate about leveraging data to innovate and grow business may find an ideal fit in the Business Analytics concentration. Classes meet online, though periodic on-campus residencies may be available. On average, the 56 required credits can be completed in 3 years.

George Fox University is accredited by the Northwest Commission on Colleges and Universities.

Golden Gate University offers a Doctor of Business Administration. The program can be customized with concentrations in Business and Data Analytics, Digital Strategy, Finance, Leadership and Strategy, and Marketing. The curriculum consists of 56 credits. Classes can be attended asynchronously online or traditionally in-person.

GGU  is accredited by WASC Senior College and University Commission.

Grand Canyon University offers a Doctor of Business Administration in Data Analytics. Common careers for graduates include chief data officer, data scientist, business intelligence director, or strategic innovation manager. Classes are entirely online and are 8 weeks long. Up to 9 credits may be transferred into the program.

GCU is accredited by the Higher Learning Commission.

Indiana Wesleyan University offers a Doctor of Business Administration in Data Analytics. The curriculum covers topics like business writing, ethical leadership, marketing, research methods, data mining and visualization, and analytic systems. The program consists of 20 courses that meet conveniently online. On average, the required coursework can be completed in 36 months.

Indiana Wesleyan University is accredited by the Higher Learning Commission.

Marymount University offers a Doctor of Business Administration in Business Intelligence. This program boasts a convenient online learning format, numerous networking opportunities, and expert faculty. Potential courses include Strategy in Changing Business Climate, Ethical Leadership for Success in Uncertain Times, and Maximizing Digital Transformation. The program requires 36 credits.

Marymount University is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

The University of Oklahoma offers a Doctor of Philosophy in Data Science and Analytics. The curriculum covers key concepts like statistical analysis, intelligent data, metaheuristics, computing structures, algorithm analysis, and database management systems. The program is entirely online. Up to 30 of the 90 required credits may be transferred into the program.

The University of Oklahoma is accredited by the Higher Learning Commission.

The University of the Southwest offers a Doctor of Business Administration in Data Analytics. To qualify for admission, applicants must have more than 3 years of industry experience, a master’s degree, and a 3.0 GPA or higher. Classes meet primarily online with the option to attend residencies or 8 week seminars on campus.

The University of the Southwest is accredited by the Higher Learning Commission.

Getting Your PhD in Business Analytics Online

Business analytics is a growing field that requires expert leadership. If you are interested in studying data, performing statistical analyses, and making business decisions, then you may want to earn your PhD in Business Analytics.

You could put your education to work for you in an academic career or as a business leader. You don’t necessarily have to leave the workforce to earn your PhD. Rather, you can choose an online program for your doctoral studies. You can get an online degree in business analytics through an accredited school.

You can check out prestigious online PhD programs today and start imagining where this degree could take you.

Analytics Insight

10 Best Research and Thesis Topic Ideas for Data Science in 2022

These research and thesis topics for data science will ensure more knowledge and skills for both students and scholars

• Handling practical video analytics in a distributed cloud:  With increased dependency on the internet, sharing videos has become a mode of data and information exchange. The role of the implementation of the Internet of Things (IoT), telecom infrastructure, and operators is huge in generating insights from video analytics. In this perspective, several questions need to be answered, like the efficiency of the existing analytics systems, the changes about to take place if real-time analytics are integrated, and others.
• Smart healthcare systems using big data analytics: Big data analytics plays a significant role in making healthcare more efficient, accessible, and cost-effective. Big data analytics enhances the operational efficiency of smart healthcare providers by providing real-time analytics. It enhances the capabilities of the intelligent systems by using short-span data-driven insights, but there are still distinct challenges that are yet to be addressed in this field.
• Identifying fake news using real-time analytics:  The circulation of fake news has become a pressing issue in the modern era. The data gathered from social media networks might seem legit, but sometimes they are not. The sources that provide the data are unauthenticated most of the time, which makes it a crucial issue to be addressed.
• TOP 10 DATA SCIENCE JOB SKILLS THAT WILL BE ON HIGH DEMAND IN 2022
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• Secure federated learning with real-world applications : Federated learning is a technique that trains an algorithm across multiple decentralized edge devices and servers. This technique can be adopted to build models locally, but if this technique can be deployed at scale or not, across multiple platforms with high-level security is still obscure.
• Big data analytics and its impact on marketing strategy : The advent of data science and big data analytics has entirely redefined the marketing industry. It has helped enterprises by offering valuable insights into their existing and future customers. But several issues like the existence of surplus data, integrating complex data into customers’ journeys, and complete data privacy are some of the branches that are still untrodden and need immediate attention.
• Impact of big data on business decision-making: Present studies signify that big data has transformed the way managers and business leaders make critical decisions concerning the growth and development of the business. It allows them to access objective data and analyse the market environments, enabling companies to adapt rapidly and make decisions faster. Working on this topic will help students understand the present market and business conditions and help them analyse new solutions.
• Implementing big data to understand consumer behaviour : In understanding consumer behaviour, big data is used to analyse the data points depicting a consumer’s journey after buying a product. Data gives a clearer picture in understanding specific scenarios. This topic will help understand the problems that businesses face in utilizing the insights and develop new strategies in the future to generate more ROI.
• Applications of big data to predict future demand and forecasting : Predictive analytics in data science has emerged as an integral part of decision-making and demand forecasting. Working on this topic will enable the students to determine the significance of the high-quality historical data analysis and the factors that drive higher demand in consumers.
• The importance of data exploration over data analysis : Exploration enables a deeper understanding of the dataset, making it easier to navigate and use the data later. Intelligent analysts must understand and explore the differences between data exploration and analysis and use them according to specific needs to fulfill organizational requirements.
• Data science and software engineering : Software engineering and development are a major part of data science. Skilled data professionals should learn and explore the possibilities of the various technical and software skills for performing critical AI and big data tasks.

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Research Topics & Ideas: Business

50+ Management Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a business/management-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of  research ideas and topic thought-starters for management-related research degrees (MBAs/DBAs, etc.). These research topics span management strategy, HR, finance, operations, international business and leadership.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the management domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: Business Research Topics

• Business /management strategy
• Human resources (HR) and industrial psychology
• Finance and accounting
• Operations management
• International business
• Actual business dissertations & theses

Strategy-Related Research Topics

• An analysis of the impact of digital transformation on business strategy in consulting firms
• The role of innovation in transportation practices for creating a competitive advantage within the agricultural sector
• Exploring the effect of globalisation on strategic decision-making practices for multinational Fashion brands.
• An evaluation of corporate social responsibility in shaping business strategy, a case study of power utilities in Nigeria
• Analysing the relationship between corporate culture and business strategy in the new digital era, exploring the role of remote working.
• Assessing the impact of sustainability practices on business strategy and performance in the motor vehicle manufacturing industry
• An analysis of the effect of social media on strategic partnerships and alliances development in the insurance industry
• Exploring the role of data-driven decision-making in business strategy developments following supply-chain disruptions in the agricultural sector
• Developing a conceptual framework for assessing the influence of market orientation on business strategy and performance in the video game publishing industry
• A review of strategic cost management best practices in the healthcare sector of Indonesia
• Identification of key strategic considerations required for the effective implementation of Industry 4.0 to develop a circular economy
• Reviewing how Globalisation has affected business model innovation strategies in the education sector
• A comparison of merger and acquisition strategies’ effects on novel product development in the Pharmaceutical industry
• An analysis of market strategy performance during recessions, a retrospective review of the luxury goods market in the US
• Comparing the performance of digital stakeholder engagement strategies and their contribution towards meeting SDGs in the mining sector

Topics & Ideas: Human Resources (HR)

• Exploring the impact of digital employee engagement practices on organizational performance in SMEs
• The role of diversity and inclusion in the workplace
• An evaluation of remote employee training and development programs efficacy in the e-commerce sector
• Comparing the effect of flexible work arrangements on employee satisfaction and productivity across generational divides
• Assessing the relationship between gender-focused employee empowerment programs and job satisfaction in the UAE
• A review of the impact of technology and digitisation on human resource management practices in the construction industry
• An analysis of the role of human resource management in talent acquisition and retention in response to globalisation and crisis, a case study of the South African power utility
• The influence of leadership style on remote working employee motivation and performance in the education sector.
• A comparison of performance appraisal systems for managing employee performance in the luxury retail fashion industry
• An examination of the relationship between work-life balance and job satisfaction in blue-collar workplaces, A systematic review
• Exploring HR personnel’s experiences managing digital workplace bullying in multinational corporations
• Assessing the success of HR team integration following merger and acquisition on employee engagement and performance
• Exploring HR green practices and their effects on retention of millennial talent in the fintech industry
• Assessing the impact of human resources analytics in successfully navigating digital transformation within the healthcare sector
• Exploring the role of HR staff in the development and maintenance of ethical business practices in fintech SMEs
• An analysis of employee perceptions of current HRM practices in a fully remote IT workspace

Topics & Ideas: Finance & Accounting

• An analysis of the effect of employee financial literacy on decision-making in manufacturing start-ups in Ghana
• Assessing the impact of corporate green innovation on financial performance in listed companies in Estonia
• Assessing the effect of corporate governance on financial performance in the mining industry in Papua New Guinea
• An evaluation of financial risk management practices in the construction industry of Saudi Arabia
• Exploring the role of leadership financial literacy in the transition from start-up to scale-up in the retail e-commerce industry.
• A review of influential macroeconomic factors on the adoption of cryptocurrencies as legal tender
• An examination of the use of financial derivatives in risk management
• Exploring the impact of the cryptocurrency disruption on stock trading practices in the EU
• An analysis of the relationship between corporate social responsibility and financial performance in academic publishing houses
• A comparison of financial ratios performance in evaluating E-commerce startups in South Korea.
• An evaluation of the role of government policies in facilitating manufacturing companies’ successful transitioning from start-up to scale-ups in Denmark
• Assessing the financial value associated with industry 4.0 transitions in the Indian pharmaceutical industry
• Exploring the role of effective e-leadership on financial performance in the Nigerian fintech industry
• A review of digital disruptions in CRM practices and their associated financial impact on listed companies during the Covid-19 pandemic
• Exploring the importance of Sharia-based business practices on SME financial performance in multicultural countries

Ideas: Operations Management

• An assessment of the impact of blockchain technology on operations management practices in the transport industry of Estonia
• An evaluation of supply chain disruption management strategies and their impact on business performance in Lithuania
• Exploring the role of lean manufacturing in the automotive industry of Malaysia and its effects on improving operational efficiency
• A critical review of optimal operations management strategies in luxury goods manufacturing for ensuring supply chain resilience
• Exploring the role of globalization on Supply chain diversification, a pre/post analysis of the COVID-19 pandemic
• An analysis of the relationship between quality management and customer satisfaction in subscription-based business models
• Assessing the cost of sustainable sourcing practices on operations management and supply chain resilience in the Cocao industry.
• An examination of the adoption of behavioural predictive analytics in operations management practices, a case study of the
• Italian automotive industry
• Exploring the effect of operational complexity on business performance following digital transformation
• An evaluation of barriers to the implementation of agile methods in project management within governmental institutions
• Assessing how the relationship between operational processes and business strategy change as companies transition from start-ups to scale-ups
• Exploring the relationship between operational management and innovative business models, lessons from the fintech industry
• A review of best practices for operations management facilitating the transition towards a circular economy in the fast food industry
• Exploring the viability of lean manufacturing practices in Vietnam’s plastics industry
• Assessing engagement in cybersecurity considerations associated with operations management practices in industry 4.0 manufacturing

Topics & Ideas: International Business

• The impact of cultural differences in communication on international business relationships
• An evaluation of the role of government import and export policies in shaping international business practices
• The effect of global shipping conditions on international business strategies
• An analysis of the challenges of managing multinational corporations: branch management
• The influence of social media marketing on international business operations
• The role of international trade agreements on business activities in developing countries
• An examination of the impact of currency fluctuations on international business and cost competitiveness
• The relationship between international business and sustainable development: perspectives and benefits
• An evaluation of the challenges and opportunities of doing business in emerging markets such as the renewable energy industry
• An analysis of the role of internationalisation via strategic alliances in international business
• The impact of cross-cultural management on international business performance
• The effect of political instability on international business operations: A case study of Russia
• An analysis of the role of intellectual property rights in an international technology company’s business strategies
• The relationship between corporate social responsibility and international business strategy: a comparative study of different industries
• The impact of technology on international business in the fashion industry

Topics & Ideas: Leadership

• A comparative study of the impact of different leadership styles on organizational performance
• An evaluation of transformational leadership in today’s non-profit organizations
• The role of emotional intelligence in effective leadership and productivity
• An analysis of the relationship between leadership style and employee motivation
• The influence of diversity and inclusion on leadership practices in South Africa
• The impact of Artificial Intelligence technology on leadership in the digital age
• An examination of the challenges of leadership in a rapidly changing business environment: examples from the finance industry
• The relationship between leadership and corporate culture and job satisfaction
• An evaluation of the role of transformational leadership in strategic decision-making
• The use of leadership development programs in enhancing leadership effectiveness in multinational organisations
• The impact of ethical leadership on organizational trust and reputation: an empirical study
• An analysis of the relationship between various leadership styles and employee well-being in healthcare organizations
• The role of leadership in promoting good work-life balance and job satisfaction in the age of remote work
• The influence of leadership on knowledge sharing and innovation in the technology industry
• An investigation of the impact of cultural intelligence on cross-cultural leadership effectiveness in global organizations

Business/Management Dissertation & Theses

While the ideas we’ve presented above are a decent starting point for finding a business-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various management-related degree programs (e.g., MBAs, DBAs, etc.) to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• Sustaining Microbreweries Beyond 5 Years (Yanez, 2022)
• Perceived Stakeholder and Stockholder Views: A Comparison Among Accounting Students, Non-Accounting Business Students And Non-Business Students (Shajan, 2020)
• Attitudes Toward Corporate Social Responsibility and the New Ecological Paradigm among Business Students in Southern California (Barullas, 2020)
• Entrepreneurial opportunity alertness in small business: a narrative research study exploring established small business founders’ experience with opportunity alertness in an evolving economic landscape in the Southeastern United States (Hughes, 2019)
• Work-Integrated Learning in Closing Skills Gap in Public Procurement: A Qualitative Phenomenological Study (Culver, 2021)
• Analyzing the Drivers and Barriers to Green Business Practices for Small and Medium Enterprises in Ohio (Purwandani, 2020)
• The Role of Executive Business Travel in a Virtual World (Gale, 2022)
• Outsourcing Security and International Corporate Responsibility: A Critical Analysis of Private Military Companies (PMCs) and Human Rights Violations (Hawkins, 2022)
• Lean-excellence business management for small and medium-sized manufacturing companies in Kurdistan region of Iraq (Mohammad, 2021)
• Science Data Sharing: Applying a Disruptive Technology Platform Business Model (Edwards, 2022)
• Impact of Hurricanes on Small Construction Business and Their Recovery (Sahu, 2022)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Topic Ideation

If you’d like hands-on help to speed up your topic ideation process and ensure that you develop a rock-solid research topic, check our our Topic Kickstarter service below.

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Great help. thanks

Hi, Your work is very educative, it has widened my knowledge. Thank you so much.

Thank you so much for helping me understand how to craft a research topic. I’m pursuing a PGDE. Thank you

Effect of Leadership, computerized accounting systems, risk management and monitoring on the quality of financial Reports among listed banks

May you assist on a possible PhD topic on analyzing economic behaviours within environmental, climate and energy domains, from a gender perspective. I seek to further investigate if/to which extent policies in these domains can be deemed economically unfair from a gender perspective, and whether the effectiveness of the policies can be increased while striving for inequalities not being perpetuated.

healthy work environment and employee diversity, technological innovations and their role in management practices, cultural difference affecting advertising, honesty as a company policy, an analysis of the relationships between quality management and customer satisfaction in subscription based business model,business corruption cases. That I was selected from the above topics.

Research topic accounting

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Join the next generation of data savvy business professionals skilled in translating data to solve global problems.

Continuing business disruption has created an unprecedented demand for data analysis capabilities. This online program is designed for business professionals of the future, encouraging a new innovative take on data. You’ll gain a unique ability to speak the language of different organisational functions to bridge gaps and transform direction through data.

Drawing on business, data science and philosophy insights, you’ll gain a hybrid, holistic understanding of business analytics and their application. With a key focus on responsible use of artificial intelligence (AI), ethics and strategy, you’ll learn how to interpret analytics for social, cultural and environmental business opportunities.

Small class sizes provide valuable opportunities for online collaboration. You’ll join a diverse virtual community, draw on industry case studies and enjoy tailored professional development opportunities. In your final year of study, you’ll complete a team-based project that addresses real business problems or social issues.

If you have technical background in computing, IT or statistics, our Master of Data Science may be the program for you. While both programs address the function of data analytics, the Master of Data Science provides technical expertise, while the Master of Business Analytics will teach you how and why to make business decisions using data.

Program highlights

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This program provides the perfect blend of high-level business skills and the technical skills of an analyst. You’ll gain the ability to understand data through a business lens to achieve better outcomes.

What I like about this program is that I can study in my own time, at home or in my office. I received a lot of support and have enjoyed learning from real business case scenarios.

Throughout my studies, I have already been able to apply the knowledge I have learnt in the program to my projects at work and in real time. This has really empowered me as a professional.

18 April - 1 May

MBA Information Event

Discover Postgraduate Science

Discover Postgraduate Quantum Technology

What does business analytics mean for the future and your career?

4-minute read

What’s it like to study data, analytics and cyber security as a postgraduate?

5-minute read

Can a Master of Business Analytics help your career progression?

Entry requirements.

To be eligible for entry, you'll need:

• a bachelor's degree (or equivalent) in a relevant discipline , or
• a bachelor's degree (or equivalent) in any discipline, plus 3 years of full-time equivalent relevant work experience , or
• the Graduate Certificate in Business Analytics from UQ (or equivalent).

Relevant disciplines for previous qualifications

Relevant disciplines include accounting, advertising, business, business administration, business technology administration, commercialisation, computer science, economics, engineering, entrepreneurship, events management, finance, hotel or tourism management, human resource management, information systems/information technology, international business, international development, innovation management, management, marketing, mathematics/statistics, operations/project management, physics, science, strategy and sustainability.

Relevant work experience

Relevant work experience includes work in: accounting, advertising, business, business administration, business technology administration, commercialisation, computer science, economics, engineering, entrepreneurship, events management, finance, hotel or tourism management, human resource management, information systems/information technology, international business, international development, innovation management, management, mathematics/statistics, marketing, operations/project management, physics, science, strategy and sustainability.

GPA equivalent

Select where you studied and your qualification to see the GPA equivalent you need to be considered for this program.

Use the GPA equivalent as a guide. When you apply, we’ll calculate your GPA using the UQ grading scale. Any failing grades will be included. Entry requirements are subject to change.

Equivalent subjects

Related programs.

Depending on your previous qualifications and current goals, you might want to consider one of these related programs:

Graduate Certificate in Business Analytics

English language requirements.

IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ

TOEFL iBT (including Paper Edition) - Overall 87, listening 19, reading 19, writing 21 and speaking 19.

PTE Academic - Overall Score of 64 and 60 in all sub bands.

BE - A minimum overall grade of 4 plus a minimum grade of C in all macro skills.

CES - Overall 176 and 169 in all sub bands.

OET is not accepted.

There are other ways to meet the English language requirements. For some programs, additional conditions apply.

Learn how to meet the English language requirements

Student visas

This program does not meet the eligibility requirements for an Australian Student visa (subclass 500).

To study this program in Australia you will need a temporary visa or residency status with study entitlement. Some programs can also be studied from outside Australia.

Contact us for more information

Fees and Scholarships

Indicative annual fee.

Approximate yearly cost of tuition (8 units). Your fees will vary according to your selected courses and study load. Fees are reviewed each year and may increase.

Fee information for 2025 is not yet available. Fee information displayed is for 2024.

Learn more about postgraduate fees

Approximate yearly cost of tuition (8 units). Your fees will vary according to your study load. Fees are reviewed each year and may increase.

AUD $23,600

Government assistance, financial aid.

As an international student, you might be eligible for financial aid – either from your home country, or from the Australian Government.

Learn more about financial aid

Domestic places in the Master of Business Analytics are Commonwealth Supported. This means the cost of your education is shared between you and the Australian Government.

Instead of tuition fees, Commonwealth Supported students pay what are called student contribution amounts.

HECS-HELP is an Australian Government loan scheme to assist eligible students with the cost of their student contribution amounts.

Learn more about HECS-HELP

Centrelink support

The Australian Government offers a number of income-support payments to eligible Australian university students.

Learn about Centrelink payments for students

Scholarships

You may be eligible for more than 100 scholarships, including:

Applying online

All international applications should be submitted to UQ. The program code for the Master of Business Analytics is  5188 . 

International students who want to study this program will not be eligible for a Student Visa (subclass 500). 

To study this program in Australia, you will need an Australian visa or residency status with sufficient study entitlement. Some programs can also be studied from outside Australia. 

Contact us with any questions  

All domestic applications should be submitted to UQ.

The program code for the Master of Business Analytics is 5188 .

Find out more about applying for postgraduate coursework study

Important dates

The closing date for this program is:

• To commence study in Semester 1 - January 31 of the year of commencement.
• To commence study in Semester 2 - June 30 of the year of commencement.

To learn more about UQ dates, including semester start dates, view the Academic Calendar .

Aboriginal and Torres Strait Islander applicants

For support with applying – or if you have any questions about university life – get in touch with our Aboriginal and Torres Strait Islander Studies Unit.

Contact the ATSIS Unit

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Webster Adds Multiple Cybersecurity and Analytics Majors in San Antonio

April 15, 2024

• academic affairs
• enrollment management
• extended campus
• george herbert walker school of business and technology

• MS in Cybersecurity with an Emphasis in Artificial Intelligence;
• MS in Cybersecurity with an Emphasis in Data Analytics;
• MS in Data Analytics;
• MS in Marketing with an Emphasis in Analytics;
• MS in Business Analytics;
• MBA with an Emphasis in Analytics.

Webster was one of the first universities in the Midwest to add a cybersecurity program and did so in 2013 at the request of the United States Air Force, which had a high need for officers with cybersecurity training. In 2019, Webster University was named as the first private nonprofit university in Missouri to receive accreditation from the National Security Agency (NSA) and the Department of Homeland Security (DHS) for Webster's Bachelor of Science in Computer Science with an Emphasis in Cybersecurity program. The accreditation was awarded through the National Center of Academic Excellence in Cyber Defense, which is jointly sponsored by the DHS and NSA.     In 2022, Webster University’s Cybersecurity program was recognized as offering one of the most innovative instructional methods among cybersecurity programs in the United States by the National CyberWatch Center.    Webster’s analytics programs have recently been expanded, as current employment trends show that the number of careers in business requiring analytics skillsets will increase by more than 10% over the next decade, which represents more than 1 million new jobs per year.      To learn more about Webster University’s Cybersecurity and Data Analytics programs, visit the George Herber Walker School of Business & Technology page . 

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