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Finance and Machine Learning MSc

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

Campus and Facilities

  • Close to London’s financial districts (the City of London and Canary Wharf)
  • Postgraduate accommodation (find out more regarding eligibility, and application deadlines).
  • State-of-the-art building
  • The latest computer labs with mathematical and trading software (e.g. Reuters and Bloomberg)
Master Journey Webinars

Master Journey Webinars

Your Masters Journey Webinars: Join our engaging webinar series designed to guide you through every step of your masters journey.

Register now

Programme structure

Structure

Optional pre-semester modules in maths and statistics.

A choice between:

  • 6 compulsory modules + 5 elective modules + research project (2,500 words)
  • 6 compulsory modules + 3 elective modules + dissertation  (7,000 words)

Academic year timeline (with semester dates, etc.) are available here.

Information about assessment is available here.

Compulsory modules and dissertation/research project

Corporate Finance
This course provides a broad introduction to the key issues in understanding corporate financial policy. In particular, we will investigate how companies should finance their activities by issuing securities (debt, equity and convertible claims) and the interaction of business policy with corporate financial policy. Special consideration is given to tax issues, the possible costs of financial distress, the incentives behind financial decisions and the signalling impact of those for financial market participants. The final part of the course covers some specific topics in corporate finance: dividend policy, the decision to go public, mergers and acquisitions and possibly corporate governance issues.

Elective modules

Financial Derivatives
The purpose of this module is to provide students with an overview of the theory and practice of pricing and hedging derivative securities. These include forward and futures contracts, swaps, and many different types of options. This module covers diverse areas of derivatives, such as equity and index derivatives, foreign currency derivatives and commodity derivatives, as well as interest rate derivatives. This module also addresses the issue of how to incorporate credit risk into the pricing and risk management of derivatives. All the relevant concepts are discussed based on the discrete time binomial model and the continuous time Black­Scholes model. The extensions of the Black­Scholes model are also discussed.

Professional Development Modules

Optional, short, non-credit-bearing modules that typically run for a few weeks at various points during the year and focus on practical skills such as programming or working with trading software. More information about Professional Skills Development.

Amplify Trading

Amplify Trading is a professional trading firm based in London. As well as a trading floor in The City, Amplify Trading have developed unique software to develop and assess new traders whilst making decisions within the uncertainty of live financial markets.

More details about Amplify Trading

Career paths

Wide range of careers in the financial sector, especially as a data analyst, quantitative researcher, fintech specialist, or risk analyst.

We offer extensive careers support services (one-on-one appointments, practice interviews, careers workshops, etc.) to MSc students during their studies and for 3 years after graduation.

Job placement statistics for graduates from the MSc programmes at the School of Economics and Finance are available here.

Fees and funding

Full-time study

September 2025 | 1 year

Conditional deposit

Home: Not applicable

Overseas: £2000
Information about deposits

Queen Mary alumni can get a £1000, 10% or 20% discount on their fees depending on the programme of study. Find out more about the Alumni Loyalty Award

Entry requirements

UK

Degree requirements

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

International

English language requirements

The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.

The English Language requirements for entry to postgraduate taught and research programmes in the School of Economics and Finance falls within the following English band:

Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking

We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

Visas and immigration

Find out how to apply for a student visa.

Apply

Starting in
September 2025
Location
Mile End
Fees
Home: £20,850
Overseas: £33,500
EU/EEA/Swiss students
Deadline
Home: 8th September 2025
Overseas: 1st September 2025

Required supporting documentation:

  • Degree certificate and transcript
    • To be provided separately for each university qualification that you hold;
    • If you have not yet completed your current studies, provide a transcript of your results to date
    • If grading information such as a GPA scale is shown on the reverse of your transcript, upload a copy of this page
    • For documents that are not in English, provide a certified translation
  • For studies at a UK university that issues electronic Higher Education Achievement Reports (e-HEARS), or similar, provide a copy of the e-HEAR
  • Contact details of (or reference letters with official letterhead from) one referee from your most recent academic institution or from an employer (an employer can be your referee only if you graduated more than three years ago)
  • Statement of purpose
  • Curriculum Vitae (CV)/Resume
  • English language certificate if applicable (see the “Entry Requirements” tab)

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