University of Nottingham

University of Nottingham

Financial and Computational Mathematics

Financial mathematics is a branch of mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Its main aims are to quantify and hedge risks in the financial marketplace. Effective computational methods are crucial for the successful use of mathematical modelling in finance. The course is designed to reflect this combination of knowledge and skills so that its graduates are well equipped to enter the competitive job markets of quantitative finance and related fields. The 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.

Entry requirements

Upper 2nd Class Honours degree, or international equivalent, in mathematics, physics or engineering. A strong mathematics background is essential and some computer programming experience would be useful. Applicants whose 1st language is not English require IELTS: 6.6 (with no less than 6.0 in any element).

Course modules

Core modules include: financial mathematics; advanced financial mathematics; scientific computing and c++; advanced scientific computing; financial mathematics dissertation. Optional stream 1 (maths/stats and computing): optimisation; time series and forecasting; statistical foundations. Optional stream 2A: econometic theory; financial and macro econometrics; time series econometrics; mathematics for engineering management; game theory. Optional Stream 2B: microeconomic analysis; financial economics; options and futures markets; mathematics for engineering management; game theory.

Assessment methods

The structure of the MSc is modular, with individual modules having either 20, 15 or 10 credits. One credit represents 10 hours of student work, meaning that a 20 credit module represents 200 hours of study including formal teaching, independent study, revision, and the preparation of assessments. The MSc degree requires the successful completion of 180 credits, 120 of which are taught modules, and 60 credits of a financial mathematics dissertation.


Qualification Study mode Fee Course duration
MSc Full-time £ 9,280 per Academic year (home fees) 1 years
MSc Full-time £ 19,360 per Academic year (overseas fees) 1 years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
University Park Campus Nottingham NG7 2RJ East Midlands

Key information

Postgraduate Enquiry Team
Telephone number: 
0115 9514954