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Financial Mathematics MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Financial Modelling Mathematics For Specific Applications

Course type

Taught

Course Summary

Overview

Financial mathematics builds on the application of advanced concepts in modern probability theory to enable market professionals to tackle and systematically resolve a huge range of issues in the areas of pricing, hedging, risk management, and market regulation.

On this course you’ll put theory into practice by developing your numerical and computational skills to implement financial models. These are the skills you’ll need to work for a financial institution.

The course has an emphasis on:

  • the modelling of the dynamics of financial assets, both in equity markets and in fixed-income markets
  • the pricing and hedging of options and other derivatives
  • the quantification and management of financial risk.

The course will give you a balanced mixture of advanced mathematics (including modern probability theory and stochastic calculus), modern finance theory (including models for derivatives, interest rates, foreign exchange, equities, commodities, and credit), and computational technique (GPU-based high-performance computing).

Careers and your future

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, with employment prospects in 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, and companies specialising in the analysis and distribution of financial information and data. There is also a demand in financial institutions for well qualified mathematically literate graduates with higher degrees for positions in the trading, structuring and marketing of financial products.

Modules

This module aims to equip students with the basic measure-theoretic and probabilistic concepts and techniques needed for them to be able to apply the modern mathematical theory of finance, and to enable students to use methods of stochastic calculus based on Brownian motion in such a way that they are able to carry out the necessary mathematical manipulations and calculations required for use and critical assessment of the various financial models introduced in other modules of the programme.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,750

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK/ international students

For this course (per year)

£19,855

Average for all Postgrad courses (per year)

£12,227

Entry requirements

A 2:2 (or above) UK Honours degree, or equivalent internationally recognised qualification, in Mathematics. Applications from candidates with degrees in Engineering, Economics, Mathematical Biology with Maths, Calculus and Algebra modules with B Grade or above in the modules overall.

University information

Based in Uxbridge, on the outskirts of west London, Brunel University London offers over 100 specialist postgraduate courses, which you can study both full-time and part-time. Nearly 14,000 students study at Brunel, with nearly 3,500 of those studying at postgraduate level, and 15% of their attendees are mature students. Brunel is comprised of three colleges Engineering, Design & Physical Sciences Business, Arts & Social...more