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MSc Mathematical Finance

Programme Director: Brad Baxter


The market for postgraduate training in quantitative finance is evolving, with a change in the skillset that employers demand. Birkbeck's MSc Mathematical Finance offers advanced training in quantitative skills used in modern financial institutions, including most notably valuation of securities, and measurement and management of portfolio risks, enabling you to seek employment in financial institutions, including regulator bodies.

You will be trained in programming, numerical methods and statistics, and given a grounding in pricing and risk management techniques. A key feature is the emphasis on computational methods and implementation of the pricing and risk management techniques learnt. You will complete modules in programming, numerical methods and financial statistics, and many topics are illustrated by computer examples.

The programme is demanding and challenging; applicants should have strong intellectual ability and be willing to work hard.

Structure Overview

You take two compulsory 30-credit module - Mathematical and Numerical Methods and Quantitative Techniques - and complete a 30-credit dissertation. The dissertation allows you to pursue an empirical or theoretical study on a topic of your choice under the supervision of an academic within the department.

You also choose option modules to a total of 90 credits, which can include any mathematics or finance option module at Level 7 from across the Department of Economics, Mathematics and Statistics subject to approval.

Module groups

Compulsory modules

  • Mathematical and Numerical Methods
  • Quantitative Techniques

Option modules

  • Credit Risk Management
  • Financial Econometrics I
  • Financial Econometrics II
  • Forecasting Economics and Financial Time Series
  • Market Risk Management
  • Pricing

Msc Mathematical Finance dissertation

  • MSc Dissertation

Entry Requirements

For entry on to the MSc Mathematical Finance, the normal requirement is at least a second-class degree from a UK university, or overseas equivalent, in a quantitative subject such as mathematics, physics, statistics, economics or engineering.

Alternatively, a merit or higher in a Graduate Diploma in economics, mathematics or statistics would be suitable. Work experience will be taken into account. Graduates from other disciplines such as computer science will be accepted if their degree contains a major quantitative element.

General enquiries and questions concerning admissions should be directed to the Programme Administrator:

Jo Kwok
Tel: 020 7631 6429