queen mary phd finance

• Home »
• Queen Mary University of London »
• Economics and Finance »
• PhD Finance

find your perfect postgrad program Search our Database of 30,000 Courses

Queen mary university of london: phd finance.

The standard entry route to the PhD programme is through the School’s MRes programmes in Economics and Finance.

The breadth and depth of our expertise enables us to offer supervision in all major areas of economics and finance. The School has more than 40 research-active faculty working in a wide range of research areas, including macroeconomics, microeconomic theory and game theory, applied microeconomics, econometric theory, time series analysis, theoretical and empirical finance, and financial econometrics.

Recent faculty research has appeared in leading economics and finance journals, including Econometrica, the American Economic Review, the Review of Economic Studies, the Journal of Political Economy, the Quarterly Journal of Economics, the Journal of Econometrics, and the Journal of Finance. Individual members of staff also have active collaborations with various governmental and non-governmental agencies, including the UK Treasury, the Bank of England, the World Bank, the Inter-American Development Bank, OECD, and ILO.

The School runs external weekly seminars with invited speakers from top European and North American universities and internal workshops.

We have an international community of PhD students, who are central to the research culture of the School. Students are offered an inclusive environment with excellent infrastructure and many opportunities for formal and informal interaction with staff. Students are also provided with office space, a desktop computer, and an annual research allowance.

Excellent career opportunities are open to our PhD graduates. Recent placements include lectureships or postdoc research positions at the universities of Cambridge, York, Leicester, Aarhus, Vienna and Sao Paulo, as well as the Institute for the Study of Labor (IZA). Our graduates are also typically hired by central banks: recent placements include the Bank of England, the Bank of France, the Bank of Italy, and the Central Bank of Uruguay.

Doctor of Philosophy - PhD

Full-time, 3 years starts sep 2024, part-time, 6 years starts sep 2024, queen mary university of london.

Queen Mary University of London was established in 1785 and is a leading research-intensive university with a difference – one that opens the doors of opportunity to anyone and supporting students to succeed. 

With schools split across five campuses in central and east London, students are able to select from an exceptionally broad range of subjects across three main faculties, including the Faculty of Humanities and Social Sciences, Faculty of Science and Engineering, and Faculty of Medicine and Dentistry. 

Exclusive bursaries Open day alerts Funding advice Application tips Latest PG news

Sign up now!

Take 2 minutes to sign up to PGS student services and reap the benefits…

• The chance to apply for one of our 5 PGS Bursaries worth £2,000 each
• Fantastic scholarship updates
• Latest PG news sent directly to you.

PhD Finance

Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days ?

Different course options

PhD/DPhil - Doctor of Philosophy

Queen Mary University of London

MAY-24, SEP-24

Select a course option

MAY-24, S..

Select a subject

Select a an exam type

Select student location

Course info

Entry requirements, tuition fees, latest reviews.

• The School of Economics and Finance is one of the UK's leading departments, ranked in the top 10 for research power in the latest Research Excellence Framework (REF) assessment.
• The breadth and depth of our expertise enables us to offer courses and supervision in virtually all major areas of economics and finance.
• The School has around 40 research-active staff working in a wide range of research areas, including macroeconomics, microeconomic theory and game theory, applied microeconomics, econometric theory, time series analysis, theoretical and empirical finance, and financial econometrics.

What students say

Sometimes TA’s are incompetent of teaching, but it’s rare they should get training to do a better job at explaining.. Read more

Amazing.. Read more

A first or upper second-class honours degree in a relevant subject area. If your qualifications are not from a UK university, QMUL also considers recognised equivalent qualifications from accredited overseas institutions and equivalent professional qualifications.

Students living in

£4,712 per year

Students from Domestic

The fee mentioned is for 2023-24 academic year and there may be a slight increase in the fee for 2024-25 entry.

£20,950 per year

Students from EU

Students from International

Latest Finance / Accounting (General) reviews

Review breakdown, how all students rated:, queen mary university of london , london.

Queen Mary University of London (QMUL) is an internationally regarded public research institution based in London....

Student rating

Cug ranking.

Admissions and Recruitment Office Mile End Road London Tower Hamlets E1 4NS

Thinking of studying in London?

Check out our

Similar courses at this uni

Find a course.

• Undergraduate
• Foundation degree
• Access & foundation
• Postgraduate

YOUR UCAS POINTS 0

Please wait

« All Events

• This event has passed.

5th QMUL Economics and Finance Workshop on 25-26 May!

25th may 2023 @ 8:00 am - 26th may 2023 @ 5:00 pm.

About the Workshop The School of Economics and Finance of Queen Mary University of London (QMUL) is hosting the 5th annual workshop for PhD & Postdoctoral students. The workshop is organised by QMUL PhD students and aims to bring together researchers from all areas of Economics and Finance to create a stimulating environment for participants to discuss pressing issues in their fields and receive valuable feedback on their work.

The two-day workshop will consist of a mix of parallel and plenary sessions covering the following broad research fields: Macroeconomics, Econometrics, Finance, Theoretical Microeconomics, and Applied Microeconomics. This year, the conference features keynote speeches by Douglas Gollin (Oxford University) and Noam Yuchtman (LSE).

Presentations will be followed by a discussion led by a PhD student. Authors of selected papers might be asked to also discuss a paper related to their field of research. The scientific committee, consisting of QMUL PhD students and faculty members , will select two papers that will be awarded the Best Paper Acknowledgement. These papers will be presented in plenary sessions and discussed by an expert faculty member in the field.

Submissions PhD and Postdoctoral students interested in participating should send a full paper or extended abstract by March 31, 2023 (midnight, GMT), indicating clearly the field code covered by their research, to the following email address: [email protected] . All applicants will be notified of the decision by April 21, 2022.

Additional Information Selected authors are expected to participate in the entire two-day event. Coffee-breaks and lunch will be provided for the two days of the workshop. Accommodation for the nights of May 24 and 25 can be offered by Queen Mary University of London upon request. There will be a dinner organised for the evening of May 25 for all presenters, discussants, and keynote speakers.

For more information please visit the website or send us an e-mail .

Conference Organisers:Chiara Bernardi, Gabriel Bracons, Giacomo Carlini, Paula Cesana, Ezgi Kurt, Yuting Wang, Antonio José León Fernández

This workshop is funded by ESRC, LISS-DTP and QMUL.

• Google Calendar
• Outlook 365
• Outlook Live

Privacy Overview

Our cookies

We use cookies for three reasons: to give you the best experience on PGS, to make sure the PGS ads you see on other sites are relevant , and to measure website usage. Some of these cookies are necessary to help the site work properly and can’t be switched off. Cookies also support us to provide our services for free, and by click on “Accept” below, you are agreeing to our use of cookies .You can manage your preferences now or at any time.

Privacy overview

We use cookies, which are small text files placed on your computer, to allow the site to work for you, improve your user experience, to provide us with information about how our site is used, and to deliver personalised ads which help fund our work and deliver our service to you for free.

The information does not usually directly identify you, but it can give you a more personalised web experience.

You can accept all, or else manage cookies individually. However, blocking some types of cookies may affect your experience of the site and the services we are able to offer.

You can change your cookies preference at any time by visiting our Cookies Notice page. Please remember to clear your browsing data and cookies when you change your cookies preferences. This will remove all cookies previously placed on your browser.

For more detailed information about the cookies we use, or how to clear your browser cookies data see our Cookies Notice

Manage consent preferences

Strictly necessary cookies

These cookies are necessary for the website to function and cannot be switched off in our systems.

They are essential for you to browse the website and use its features.

You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. We can’t identify you from these cookies.

Functional cookies

These help us personalise our sites for you by remembering your preferences and settings. They may be set by us or by third party providers, whose services we have added to our pages. If you do not allow these cookies, then these services may not function properly.

Performance cookies

These cookies allow us to count visits and see where our traffic comes from, so we can measure and improve the performance of our site. They help us to know which pages are popular and see how visitors move around the site. The cookies cannot directly identify any individual users.

If you do not allow these cookies we will not know when you have visited our site and will not be able to improve its performance for you.

Marketing cookies

These cookies may be set through our site by social media services or our advertising partners. Social media cookies enable you to share our content with your friends and networks. They can track your browser across other sites and build up a profile of your interests. If you do not allow these cookies you may not be able to see or use the content sharing tools.

Advertising cookies may be used to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but work by uniquely identifying your browser and internet device. If you do not allow these cookies, you will still see ads, but they won’t be tailored to your interests.

Finance and Machine Learning MSc

Queen mary university of london, different course options.

• Key information

Course Summary

Tuition fees, entry requirements, university information, similar courses at this uni, key information data source : idp connect, qualification type.

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Finance / Accounting (General)

Course type

Through this course of study, you will develop:

A deep understanding of financial markets

A cutting-edge preparation on machine learning methods and their use for financial applications

Programming skills with state-of-the-art languages such as Python and R

The ability to implement a systematic and independent assessment of forecasting methods and their economic value

A wide array of quantitative methods for the analysis of risks and returns within the context of investment decisions

This programme is based in the School of Economics and Finance (SEF) on Queen Mary’s Mile End campus.

School of Economics and Finance

Around 1,000 master’s students from all over the world

Teaching by research-active academics as well as visiting city professionals

4th in the UK for research output in economics and econometrics in the Research Excellence Framework in 2021

84th in the QS World University Rankings for Economics & Econometrics in 2023

in top 100 in the Shanghai Global Ranking for Economics in 2022

consistently in top quartile of Russell Group (group of top research universities in UK) based on PTES (leading survey of postgraduate programmes in UK)

Wide range of elective modules as well as optional short modules on programming languages, trading platforms such as Bloomberg, etc.

QUMMIF investment fund invests real money based on analysis from students (participation is subject to screening)

UK fees Course fees for UK students

For this course (per year)

International fees Course fees for EU and international students

Degree requirements: A 2:1 or above at undergraduate level in any subject, provided there is a strong quantitative background in Statistics and Mathematics.

Queen Mary University of London (QMUL) is an internationally regarded public research institution based in London. It has a long history, dating back over 230 years, and is a member of the prestigious Russell Group of universities. Queen Mary has five campuses in the city of London and an international network of satellite campuses in China, Malta, Paris and Singapore. There is a population of around 16,000 students at the London campuses and... more

Artificial Intelligence for Drug Discovery MSc

Full time | 12 months | 16-SEP-24

Artificial Intelligence MSc

Full time | 1 year | 16-SEP-24

Machine Learning for Visual Data Analytics MSc

Advanced robotics msc, data science and artificial intelligence (conversion programme) msc.

Full time | 1 year | AUG-24

Global main menu

If you are an internal user looking for the Finance Intranet, you require: http://qm-web.finance.qmul.ac.uk

If you require information regarding tuition fees or their payment, you require:

www.qmul.ac.uk/tuitionfees/

At present, the finance department at Queen Mary has no need for an external website. However, you may download the University's published financial statements  or browse a list of current employment opportunities .

To find contact details for specific individuals within the finance department, please use the staff search facility .

If you are looking for information specific to research grants and contracts, please email [email protected] . Full access to the research grants and contracts intranet site is available for QMUL staff only ( http://qm-web.jrmo.qmul.ac.uk )

AAOIFI – IsDB 18th Annual Islamic Banking and Finance Conference

“Strategies for the Impending Economic Slowdown and a Post Oil World: Through Economic Diversification and Leveraging Islamic Finance” Wednesday & Thursday 15-16 Jumada al-awwal 1445 H, 29-30 November 2023, Kingdom of Bahrain

About the event

The Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) together with the Islamic Development Bank Group (IsDB), represented by IsDB Institute (IsDBI), is set to host the 18th edition of its annual Islamic banking and finance conference supported by the Central Bank of Bahrain. The two-day conference will be held physically at the Crowne Plaza, in Kingdom of Bahrain, on 29-30 November 2023, with the theme “Strategies for the Impending Economic Slowdown and a Post Oil World: Through Economic Diversification and Leveraging Islamic Finance”.

The two-day conference will feature keynote addresses from dignitaries and policymakers, as well as, seven panel discussion sessions. The panel discussions will examine the role of Islamic finance and Islamic fintech in diversifying economic activity in the Muslim countries, challenges and opportunities resulting from Inflation and high benchmark rates, and the use of Islamic finance in the development of infrastructure for climate change mitigation. In addition, the challenges of Sukuk Shari’ah compliance and governance and Islamic finance accounting for hyperinflation will be discussed.

AAOIFI is also organising the first-ever ‘Capacity Building Week’, which will begin on 28 November 2023 and run through 04 December 2023, after conference on 29-30 November 2023. The five-day celebration of human capital development in Islamic finance is expected to attract more than 200 trainees from at least 30 countries to participate in 17 concurrent workshops led by around 25 master trainers.

AAOIFI – IsDB 18th Annual Islamic Banking and Finance Conference Papers

Download Now

Supported by

Organised by, in cooperation with, major partners, gold partners, silver partners, knowledge partners, technology partners, media partners, highlights of the conference, hotel booking.

We are thrilled to extend a warm welcome to you for the upcoming conference in beautiful Bahrain. Your participation is greatly anticipated, and we can't wait to host you for this extraordinary event! Reserve your spot now and be ready to immerse yourself in a world of innovation, knowledge sharing, and inspiration.

Global main menu

• School of Economics and Finance

Q&A with Professor George Skiadopoulos

George Skiadopoulos, Professor of Finance in the School of Economics and Finance at Queen Mary University of London interviewed.

• Please tell us about your interest in Economics and your area of teaching at Queen Mary

I am interested in the intersection of academic research in Finance with industry needs. I envisage academic research as a tool for providing solutions to practical problems of interest to firms, investors and policy makers. I am teaching the Quantitative Methods for Finance II at the Goldman Sachs Apprenticeship Program

• Please can you tell us about your current research and how the studies were carried out?

Currently, I am deeply interested in climate finance and in topics in ESG (Environmental-Social-Governance). For instance, with my colleagues and Ph.D. students we are working on topics such as measuring climate change risks and whether these are reflected in stock prices, if divestment affects firms’ cost of equity and other real effects it may have, on whether stock portfolios formed on ESG information outperform, and on measuring social risks. We use a wide range of research tools to conduct our research, including state of the art techniques on textual analysis and asset pricing and econometric tools. Many of these would not be feasible without the access to large and special databases that the School of Economics and Finance possesses.

• What were the main implications of your findings and what are the risks we may be exposed to if your findings are not considered within the financial sphere?

The implications differ depending on the research question. Indicatively, we find that stock portfolios do not outperform (i.e. they do not provide a positive alpha) once formed on material ESG information. This overturns the narrative used by a grand ecosystem of institutional investors, ESG data vendors and sustainable reporting organizations. Our findings call for caution when marketing financial products as sustainable and are of paramount importance to policymakers and regulators who need to adopt stricter rules to avoid greenwashing.

• What impact do you hope your findings will have within your field?
• Our research has considerable impact as evidenced by the multiple invitations we receive to present it at prestigious events for professionals, regulators and policy makers (e.g., the European Parliament), the citations in a number of policy reports (e.g., OECD, Task Force on Climate-Related Financial Disclosures of the Financial Stability Board), and being featured in media outlets like Bloomberg, Wall Street Journal, Forbes and others.
• What are you hoping to work on next?

I would like to continue working in the ESG field as this is a hot topic of importance to the broader society, thus offering the opportunity for making an impact to people’s lives.

• Are there any modules for undergraduate or postgraduate students at Queen Mary that would enable students to explore some of the areas you’ve studied in more depth?

There are plenty of modules, including sustainable investing, econometrics, and machine learning techniques. SEF has introduced new programs on timely topics of interest to professionals and policy makers and offers a unique opportunity to students to get educated on cutting edge academic developments and apply them to practical problems.