The course

UCAS code
Up to 4 years
Delivery type


Available via Clearing

Find out how you can apply through Clearing.


This degree combines material from the Mathematics and Actuarial Science courses, together with specialist actuarial and statistical skills. It also takes a wide-ranging approach to other areas of advanced mathematics. Year one focuses on core topics in algebra, calculus and statistics, along with an introduction to finance and economics. Year two builds upon this by introducing topics in actuarial science. The third and final years offer a range of options – allowing you to choose a combination which best suits your interests. A good performance in this actuarial science degree could lead to up to seven actuarial professional exemptions.

Student satisfaction

95% of our 2017 graduates reported in the National Student Survey that they were satisfied overall with their Mathematical, Statistical and Actuarial Sciences degree.

Course content

Detailed course guide
Year 1

Has been designed to ease the transition from school to university. Students take courses in calculus and algebra which continue the development of these subjects already studied in school while also taking courses on statistics, economics and finance.

Year 2

You will continue your study of calculus, algebra, and statistics taking courses in multivariable calculus and real analysis, linear algebra, and probability and statistics. Additionally, you will start to studying actuarial and financial mathematics and numeric analysis.

Year 3

You will study abstract algebra, ordinary differential equations and statistical modelling. You will also have the opportunity to study a wide range of options including life insurance mathematics, stochastic processes, survival models, vector analysis, complex analysis, numerical analysis and other topics in pure and applied mathematics.

Year 4

All courses are optional in this year and you can choose from life insurance mathematics, pension funds, life office practice, statistics for social science, bayesian inference, risk theory, time series, optimisation, partial differential equations, mathematical biology, functional analysis, geometry, numerical analysis and other topics in pure and applied mathematics.

More in-depth information on the content of the courses listed above, how they are assessed and the learning outcomes can be accessed via our current student portal.