You'll take a set of core modules. These equip you with the key skills and knowledge that all mathematicians and statisticians need and the main areas of pure mathematics, applied mathematics, algebra, probability and statistics.

There is also flexibility to choose topics from other areas of the University, for example, accounting, music, a foreign language or another science.

You'll take a common set of core modules. These equip you with the key skills and knowledge that all mathematicians and statisticians need and the main areas of pure mathematics, applied mathematics, algebra, probability and statistics.

Modules

Compulsory Modules

Linear Algebra (10 credits)

Complex Analysis (10 credits)

Algebra (10 credits)

Groups and Discrete Mathematics (10 credits)

Vector Calculus (10 credits)

Fluid Dynamics (10 credits)

Scientific Computation with Python (10 credits)

Introduction to Statistical Inference (10 credits)

Introduction to Bayesian Methods (10 credits)

Computational Probability and Statistics with R (10 credits)

Differential Equations, Transforms and Waves (10 credits)

Introduction to Regression and Stochastic Modelling (10 credits)

You'll select from a wide range of optional modules, which are closely linked to the research expertise of our staff. This gives you freedom to specialise in areas of particular interest.

Your degree title will reflect your balance of mathematics and statistics taken in Stage 3.