Financial Mathematics MSc

at King's College London

Financial Mathematics studies problems of financial decision by combining various techniques from pure and applied mathematics. This course covers a diverse range of topics, from classical options pricing theory to post-crisis financial mathematics on optimal hedging, investment and risk management.

Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics.

Our Financial Mathematics MSc is a unique course that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets.

You will explore probability theories, risk neutral valuation, stochastic analysis, numerical methods, as well as interest rate and credit risk modules. We are members of the University of London and by arrangement, you can enrol in optional modules at other institutions within the University of London. We also offer you the opportunity to study an additional zero-credit supportive module called mathematical analysis for financial mathematics.

You must take modules totalling 180 credits to complete the course, and you will complete the course in one year, from September to September.