Financial Mathematics MSc

Learn skills used for quantitative modelling positions, from structuring to pricing complex derivatives and fixed income securities on our Financial Mathematics master's course.

Overview

Who is it for?

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 stochastics, 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 stochastics and simulation techniques, but also covers some econometrics. You’ll study core modules covering asset pricing, risk management and an introduction to key financial securities such as equities, fixed income and derivatives.

Structure

What will you learn

• You will have gained a very good understanding of the technical aspects used in financial markets, including wide ranging financial theory and different financial assets.
• You will gain a good understanding of stochastic and mathematical finance and gained some knowledge of econometrics and forecasting. You will also have obtained a good understanding of programming, in particular Matlab.
• From the MSc Financial Mathematics you will also understand how the theory is being applied in the financial industry and what practical issues are.

Career pathways

Career destinations for MSc Financial Mathematics

Our MSc Financial Mathematics master’s provides you with the opportunity to learn quantitative analysis using stochastic, technical risk management, fixed income security, preparing you for a variety of careers.

Our graduates are well qualified for successful careers within large investment banks, small specialist financial companies or boutique firms.

A UK upper second class degree or above, or the equivalent from an overseas institution. Your academic background should be in a highly quantitative subject such as mathematics, physics, engineering, economics or computer science and having covered areas such as statistics, linear algebra and calculus. Work experience is not a requirement of this course.