Operational Research and Statistics

Entry requirements

First- or upper second-class degree or an equivalent standard in other qualifications approved by the University in a discipline that provides some quantitative training (eg computer science, economics, engineering, mathematics, physics, statistics).

Months of entry

September

Course content

This programme is an ideal opportunity to get equipped with the analytical, statistical and soft skills necessary for success in industry, business or in the public sector. From day one you will find yourself working on solutions to complex organisational challenges using mathematical modelling, experimental design, statistical analysis, and numerical computation. Opportunities for summer projects in a wide range of industries are an integral part of the programme.

Compulsory modules:
Deterministic Operational Research (OR) Methods; Stochastic OR Methods; Statistical Theory and Linear Models; Statistical Computing; Presenting Reports

Optional modules:
Visual Basic for Applications; Spreadsheet and Database Modelling; Forecasting; Computer Analysis of Data and Models; Nonlinear Optimisation; Case Studies; Revenue Management; Computer Intensive Statistical Methods; Generalised Linear Models; Topics in Statistics; Bayesian Methods; Design of Experiments; Clinical Trials; Survival Analysis

Information for international students

IELTS score of at least 6.5 overall, with at least 6 in each component (intensive summer language course available if required). Please also see the international page.

Fees and funding

Please see the fees and funding page.

Qualification and course duration

MSc