MSc Statistics and Operational Research
Structure and course options for the Statistics and Operational Research MSc programme.
You will take 120 credits of courses in total during Semesters 1 and 2, followed by a 60 credit dissertation which you complete over the summer. The courses you take will be dependent on the availability of courses each year which may be subject to change as the curriculum develops to reflect a modern degree programme.
Compulsory courses cover the core skills of Statistics and Operational Research, with most compulsory courses being studied in Semester 1. All courses are worth 10 credits, unless otherwise indicated.
Semester 1 compulsory courses have previously included:
- Fundamentals of Operational Research
- Fundamentals of Optimization
- Methodology, Modelling and Consulting Skills
- Bayesian Theory
- Statistical Programming
- Generalised Regression Models
Semester 2 compulsory courses have previously included:
- Simulation
- Statistical Research Skills
You will have the opportunity to tailor your degree by selecting from a broad range of optional courses. All courses are worth 10 credits, unless otherwise indicated.
Semester 1 optional courses have previously included:
- Statistical Methodology
- Incomplete Data Analysis
- Python Programming
- Stochastic Modelling
Semester 2 optional courses have previously included:
- Machine Learning in Python
- Time Series
- Large Scale Optimization for Data Science
- Credit Scoring
- Bayesian Data Analysis
- Topics in Applied Operational Research
- Biostatistics
- Integer and Combinatorial Optimization
- Operational Research in the Energy Industry
Your MSc dissertation provides the opportunity to undertake a research project within one of the UK’s top statistics groups and to work with internationally leading academics on topics such as Bayesian statistics, environmental statistics, machine learning, smoothing, statistical ecology, epidemiology, extreme value statistics, spatial statistics, operational research and optimisation.