MSc Computational Applied Mathematics

These entry requirements are for the 2026-27 academic year and requirements for future academic years may differ. Entry requirements for the 2027-28 academic year will be published on 1 Oct 2026.

A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer or physical sciences.

Previous study of applied mathematics, probability and differential equations at university level will be required.

Applicants should have studied a university level course with a substantial programming element, or have an equivalent level of programming experience.

You can increase your chances of a successful application by exceeding the minimum programme requirements.

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Compulsory courses
Compulsory courses have previously included:

Applied Dynamical Systems
Industrial Mathematics
Numerical Linear Algebra
Numerical Partial Differential Equations
Research Skills for Computational Applied Mathematics
Option courses
Optional courses have previously included:

Applied Stochastic Differential Equations
Bayesian Data Analysis
Bayesian Theory
Data Analytics with High Performance Computing*
Fluid Dynamics
Fundamentals of Optimization
Introductory Probability and Statistics
Large Scale Optimization for Data Science
Machine Learning in Python
Nonlinear Optimization
Numerical Methods for Data
Numerical Ordinary Differential Equations and Applications
Optimization Methods in Finance
Python Programming
Statistical Methodology
Statistical Programming
Stochastic Modelling
Time Series
Uncertainty Quantification
*delivered by the School of Informatics