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 coursesCompulsory 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:Bayesian Theory Fundamentals of Operational Research Fundamentals of Optimization Generalised Regression Models Methodology, Modelling and Consulting Skills Statistical Programming Semester 2 compulsory courses have previously included:Simulation Statistical Research SkillsOptional coursesYou 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:Python Programming Statistical Methodology Stochastic Modelling Theory of Statistical InferenceSemester 2 optional courses have previously included:Bayesian Data AnalysisBiostatisticsCredit Scoring Incomplete Data AnalysisInteger and Combinatorial Optimization Large Scale Optimization for Data Science Machine Learning in Python Methods for Causal Inference*Multivariate Data AnalysisNonlinear OptimizationOperational Research in the Energy Industry Optimization Methods in FinanceOptimization Under UncertaintyRisk and LogisticsTargeted Causal LearningTime Series Topics in Applied Operational Research *delivered by the School of InformaticsDissertationYour 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. This article was published on 2025-04-22