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Different course options

Full time | Mile End | 1 year | 18-SEP-23

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Mathematics For Specific Applications Financial Modelling

Course type


Course Summary

Learn to apply a wide range of mathematical and statistical techniques to model the behaviour of the financial markets. The MSc in Financial Mathematics is for you if you are planning a career in the more quantitative areas of banking and financial markets, or if you hope to undertake academic research in financial mathematics.

  • Network with experts from banking and finance and attend highly insightful practitioner seminars
  • Learn from staff with extensive commercial experience in investment banking and financial markets
  • This programme is run jointly by the School of Mathematical Sciences and the School of Economics and Finance
  • Ideal for students with a good undergraduate degree in mathematics or a subject with significant mathematics content. No prior knowledge of finance is expected


  • Our new, £18m Mathematical Sciences building with high-quality teaching rooms, private and group study areas and a new social hub
  • A shared office and dedicated computer lab with Bloomberg terminals for MSc students
  • Library access to 8,000 mathematical books and subscriptions to a large number of mathematical journals
  • On-campus accommodation for all new full-time postgraduate students from outside London

Career paths

You will be equipped to undertake a wide range of careers in the banking and finance sector in roles that require a high level of numeracy, problem-solving and computing expertise, as well as in marketing, public services, consultancy, industry and commerce.

Typical roles would be in areas such as quantitative analysis, software development, derivatives trading, risk management, investment management, sales, marketing and consultancy.

Graduates may also go on to:

  • undertake PhD studies
  • work for major investment banks
  • use their programming skills (especially C++) in information technology companies and fintech start-ups


This module explains how we can price financial derivatives in a consistent manner, in the realistic case where the price of the underlying asset changes continuously in time. To do this, we first introduce the key ideas of stochastic calculus in a mathematically rigorous, but still accessible, way. Then, using the Black-Scholes model, we show how we can price a wide range of derivatives, using both the PDE approach and the alternative martingale approach. Finally we look at several more recent models that attempt to rectify some of the known deficiencies of the Black-Scholes model.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

Students need to have a 2:1 or above at undergraduate level in Mathematics or a subject with a strong Mathematics component such as Physics, Engineering or Computer Science.