This programme will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights and routing mobile phone calls, over optimising power systems and logistic networks, to managing investments and minimising risks.
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. You can increase your chances of a successful application by exceeding the minimum programme requirements.
International qualifications
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Compulsory courses have previously included:
Fundamentals of Operational Research
Fundamentals of Optimization
Methodology, Modelling and Consulting Skills
Simulation
Stochastic Modelling
Option courses
Optional courses have previously included:
Algorithmic Game Theory and its Applications*
Biostatistics
Credit Scoring
Discrete Time Finance
Finance, Risk and Uncertainty
Generalised Regression Models
Introductory Probability and Statistics
Large Scale Optimization for Data Science
Machine Learning in Python
Operational Research in the Energy Industry
Optimization Methods in Finance
Optimization Under Uncertainty
Python Programming
Risk and Logistics
Statistical Methodology
Statistical Programming
Time Series
Topics in Applied Operational Research
*delivered by the School of Informatics
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