Program Overview

Interested in tackling changes in the financial market in a mathematically sound manner? In our post-graduate master's in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, to check and test the robustness of the models based on current dataset and monitor your projects overtime.

Consequently, emphasis is given to stochastic modelling and simulation techniques. You will also acquire a sound knowledge of econometrics, asset pricing, risk management and key financial securities such as equities, fixed income products and derivatives. Finally, you will master advance programming skills in Python and Matlab.

The  post-graduate master's in Financial Mathematics programme focuses on stochastic modelling and simulation techniques, but also covers econometrics, asset pricing, risk management, and offers an introduction to key financial securities such as equities, fixed income products and derivatives.

You will be taught Python and Matlab during terms 1 and 2, and you will have the opportunity to learn other programming languages as part of our electives offering, such as VBA or C.

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.