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Quantitative Finance and Mathematics MSc

Quantitative Finance and Mathematics MSc

Different course options

Full time | Edinburgh Campus | 1 year | SEP

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Financial Analysis Mathematics (General) Finance / Accounting (General)

Course type


Course Summary

This masters in Quantitative Finance and Mathematics course introduces innovative modern mathematical techniques and financial modelling. It focuses on probability and stochastics, which are often not included in standard mathematics degrees. It’s been designed to include the practical and pragmatic aspects of mathematical finance – offering you relevant and modern skills relating to structured finance in demand in the UK and internationally. The aim is to understand, both quantitatively and qualitatively, the risks and uncertainty involved. And, the wide range of optional courses offers you the chance to tailor your learning experience to suit your interests.


We're proud to say our masters in Quantitative Finance and Mathematics exempts you from the examinations of the Professional Risk Managers International Association (PRMIA) Levels I and II – a world-renowned qualification. What’s more, you’ll have excellent employment prospects that will not be restricted to any one sector of financial services.


Students who graduate from the programme will have excellent employment prospects that are not restricted to any one narrow sector of financial services.

Students will also achieve PGDip and PGCert awards in this course.


The aims of this module are: To provide a thorough grounding in the operation of derivative markets ; To provide an introduction to the methods of hedging using option and forward contracts, with particular emphasis on bond (interest rate) markets ; To provide students with a good understanding of the principles of no-arbitrage pricing; To introduce mathematical concepts related to stochastic processes; To teach students the CRR (discrete time binomial) model for derivative pricing; To introduce the Wiener process and the BSM option pricing model.

Tuition fees

UK fees
Course fees for UK / EU students

To be confirmed.

Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

To be confirmed.

Average for all Postgrad courses (per year)


Entry requirements

Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is required. Motivation and a willingness to work hard are also important pre-requisites. 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. The programme is not suitable for finance professionals without graduate-level mathematical training.