The University of Edinburgh · Part-time
Computational Mathematical Finance
The MSc in Computational Mathematical Finance (CMF) is a dynamic programme that aims to deliver high quality training in the theory of mathematical finance with a strong emphasis on computational methods. Currently, graduates in this field are expected to have…
MSc2 yearsPart-time
Browse business and management courses in UK
School of Mathematics · Business and management
The MSc in Computational Mathematical Finance (CMF) is a dynamic programme that aims to deliver high quality training in the theory of mathematical finance with a 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. This MSc programme delivers: - a flexible programme 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
Getting in
As the university states it
Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on our website. You will also need to meet the University’s language requirements.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.