The MSc in Computational Mathematical Finance (CMF) is a dynamic new programme with the aim to deliver a high quality training in the theory of Mathematical Finance with strong emphasis on computational methods.
Currently graduates in this field are expected to have a working knowledge of advanced computational finance (including construction of algorithms and programming skills) as well as a sound knowledge of the theory of Probability and Stochastic Analysis. These are the core theories needed in the modern valuation of complex financial instruments.
What does the programme deliver?
This MSc programme delivers to students
- a flexible program of study relevant to the needs of employers such as: top investment banks, hedge funds and asset management firms;
- a solid knowledge in financial derivative pricing, risk management and portfolio management;
- the transferable computational skills required by the modern quantitative finance world;
Why study in Edinburgh?
- All Financial Mathematics subjects are taught by specialists with active research interests in finance, many of them have work experience in the financial services industry or as consultants.
- Edinburgh is the UK's second financial centre after London and Europe's fourth by equity assets, with critical mass in banking, life assurance and pensions, asset servicing and investment management.
- The City has recently been judged to be the best place to live in the UK. It is the capital of Scotland, a United Nations World Heritage Site, and hosts the world's biggest arts festival.