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MSc Financial Mathematics

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

Mathematics For Specific Applications Financial Modelling

Course type

Taught

Course Summary

Overview

Our MSc Financial Mathematics covers the advanced mathematics that’s revolutionised finance since the early 1970's. If you’re passionate about mathematics and keen to build a career in finance, it could be the ideal choice. The masters in Financial Mathematics course is part of the Maxwell Institute for Mathematical Sciences. It offers an intensive training in the mathematical ideas and tools vital to the finance industry. So it’ll equip you for a range of exciting and potentially high-earning career opportunities.

The MSc Financial Mathematics is part of a joint programme between us and the University of Edinburgh. So you’ll be fully enrolled at both universities. That means access to all the services offered by each institution, plus a degree certificate with both universities named as the awarding bodies.

Modules

The aim of this module is to study the application of the Black-Scholes model to the range of derivative securities encountered in the market, and to the term structure of interest rates. The principle tool will be the equivalent martingale measure. Links between derivative price and PDEs will be indicated but solution of PDEs will be covered elsewhere. Discrepancies between the Black-Scholes model and market data will be described, and alternative models presented.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£26,520

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK/ international students

For this course (per year)

£26,520

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students should have a UK 2.1 degree or equivalent in Mathematics, Financial Mathematics, Actuarial Science or Statistics. Applicants are required to have completed courses on probability, statistics, analysis/calculus and ordinary differential equations. Knowledge of partial differential equations, time series and multivariate statistics is desirable. MSc Financial Mathematics is not suitable for graduates in Financial Engineering, Finance, Accounting or non-STEM subjects. We are looking to train those who not only have a strong background in mathematics, but who also possess the ability to communicate effectively, and have the desire to succeed in a dynamic and competitive industry.