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 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.
Students gain both practical insight into improving AI model performance and a strong understanding of the underlying mathematical principles, equipped for versatile, forward-looking roles in the rapidly evolving finance services industry.
This MSc programme delivers:
In this video our academic staff and students outline what to expect as part of a Masters in the area of Financial Mathematics.
A UK 2:1 degree, or its international equivalent, in mathematics or a mathematical subject such as statistics, physics or engineering.
Previous study should include calculus and probability at university level.
You must also have relevant programming experience (at least one semester undergraduate programming course, in any language e.g. C, C++, Java, Python, passed at 2:1 level).
To find international equivalent qualifications, select where you studied from the country or region list.