Master in Financial Mathematics (MSc) - Brunel University

The master in Financial Mathematics (MSc) offers six compulsory modules, taken by all, along with three elective modules from which you choose two modules. There are lectures, examinations and coursework in eight modules altogether, including the six compulsory modules. Additionally, all students complete an individual research project on a selected topic in financial mathematics, leading to the submission of a dissertation.

We aim to teach the key ideas in financial asset pricing theory from a modern perspective, using concepts and methods such as pricing kernels, market information filtrations, and martingale techniques.

This replaces the more traditional but old-fashioned approach based on the historical development of the subject. At each stage of the course you’ll undertake a critical re-examination of the hypotheses implicit in any financial model, with a view to gaining a clear grasp of both its strengths and its limitations. You’ll learn high-performance computing and the techniques to implement financial models.

Mathematics has an active and dynamic research centre and many of our lecturers are widely published and highly recognised in their fields. Their work is frequently supported by external grants and contracts with leading industry and government establishments. Lecturers are consequently at the frontier of the subject and in active contact with modern users of mathematics.

This means that you can be assured that our academics are teaching you truly up-to-date methods and you’ll benefit from a wide range of expertise across the different areas of mathematics.

You’ll be qualified to pursue a job in a number of different areas of financial modelling and risk management in:

• the financial services industry
• banks
• asset management firms
• hedge funds
• pension funds
• insurance and re-insurance companies
• exchanges
• corporate and sovereign treasuries
• financial consultants
• financial software developers
• financial regulators
• financial publishing houses
• companies specialising in the analysis and distribution of financial information and data