MSc Financial and Computational Mathematics

School of Mathematical Sciences

University of Nottingham

This course is focused on computational techniques and mathematical modelling used in the financial industry and on the required background in finance. The course is provided by the School of Mathematical Sciences with valuable input from the School of Economics. To ensure that the degree keeps pace with changes in employer expectations and employment opportunities, the course has its own advisory board which consists of leading experts from the financial industry and academia.

You will gain experience of the types of problems encountered by academics and quantitative practitioners, by taught courses and project work in an individual and group environment.

The course also includes a substantial individual project, which develops your ability to engage in independent learning. The project will form the basis of your written dissertations. Other skills include the ability to think logically and critically, problem-solving expertise, competent use of relevant software, and effective communication of results.

Entry requirements

2:1 (or international equivalent) in mathematics, physics or engineering. A strong mathematics background is essential and some computer programming experience would be useful.

English language requirements

IELTS: 6.5 (with no less than 6.0 in any element)

International students

Opportunities for funding are available to EU and overseas students through the International Office at The University of Nottingham.


Our Graduate School offers advice and support with funding applications. Visit our funding pages to find out what options are available to you. Information about the school and funding opportunities can also be found on the our website.

General funding sources

For general sources of funding that may apply to this study opportunity, visit the page(s) below.

Study information

Study duration:

1 year full-time

Contacts and how to apply

Administrative contact and how to apply:

Find out more here

How to apply

View our step-by-step guide on how to apply and start your application via our website.


School of Mathematical Sciences
t: +44 (0)115 951 5559

Department Profile