Who is it for?
Interested in tackling changes in the financial market in a mathematically sound manner? The MSc in Financial Mathematics will give you the skills to design, implement and change pricing models and analytical tools for risk management, or push new quantitative modelling ideas across different asset classes.
To successfully complete the Financial Mathematics postgraduate course, you must have a very good understanding of mathematics. You may well have studied maths, physics or engineering degrees as an undergraduate.
Or you might have a bachelor’s degree in economics or science and in particular computer science, which, coupled with your interest in stochastic modelling, could also qualify you for this programme.
You should have a general interest in learning the more technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.
Objectives
The master's in Financial Mathematics 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.
*You might still see us referred to as Cass Business School. Find out more about our name change.
Have a question about student experience at Bayes?
Talk one-on-one with a student who is currently studying at Bayes.