MSc Financial Mathematics

Those interested in learning more about financial market and some of the mathematical techniques which are applied, in particular stochastic modelling. In our post-graduate master's in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, learn about different financial securities and how they are used in risk management or asset management.
The post-graduate master's in Financial Mathematics programme focuses on mathematical concepts used by quants, including stochastic modelling, simulation techniques and econometrics. Students will learn about asset pricing, risk management, and different financial securities, including equities, fixed income and derivatives. You will be taught Python and Matlab during terms 1 and 2, and you will have the opportunity to learn VBA in the elective term. Term three offers you flexibility within your masters, either by writing a dissertation or undertaking a project, or by completing your postgraduate degree entirely choosing electives. The difference between the MSc Financial Mathematics to MSc Mathematical Trading and Finance and MSc Quantitative Finance are core modules which focus on stochastic modelling and simulation techniques.
The MSc in Financial Mathematics equips you for a variety of careers in finance and related areas, in the UK and around the world. Graduates go on to successful careers in quant roles, traditional finance roles and data science & analytics roles or work involving developing pricing models for large financial firms. You’ll be well qualified for a role within large investment banks, small specialist financial companies or boutique firms. The MSc in Financial Mathematics also prepares you for a PhD in the areas of Mathematical Finance and Financial Engineering.

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