MSc Statistics and Operational Research

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 science, physical or biological sciences, economics or business.

Your degree must have included substantial mathematics content, including calculus (including calculus of several variables), linear algebra, probability, statistics and statistical theory. Detailed information is available from the School of Mathematics website.

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

International qualifications

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mpulsory courses have previously included:

Bayesian Theory
Fundamentals of Operational Research
Fundamentals of Optimization
Generalised Regression Models
Methodology, Modelling and Consulting Skills
Simulation
Statistical Programming
Statistical Research Skills
Option courses
Optional courses have previously included:

Bayesian Data Analysis
Biostatistics
Credit Scoring
Design and Sampling for Data Science
Incomplete Data Analysis
Integer and Combinatorial Optimization
Large Scale Optimization for Data Science
Machine Learning in Python
Methods for Causal Inference*
Multivariate Data Analysis
Nonlinear Optimization
Operational Research in the Energy Industry
Optimization Under Uncertainty
Python Programming
Risk and Logistics
Statistical Methodology
Stochastic Modelling
Targeted Causal Learning
Theory of Statistical Inference
Time Series
Topics in Applied Operational Research
* delivered by the School of Informatics