Statistics with Probability

Entry requirements

2:1 undergraduate degree (or equivalent) in Statistics, Mathematics or a science with sufficiently high mathematical content.

Months of entry

September

Course content

The MSc in Statistics with Probability Route offers a mathematically rigorous specialisation in the theory and application of stochastic processes and advanced probability. In addition to core modules providing a grounding in statistical theory, methods and applications, this route is centred on the core module ST964 Introduction to Advanced Probability, which introduces measure-theoretic probability.

Students then choose from a selection of modules in stochastic modelling and its applications, which may include subjects such as Brownian Motion, Applied Stochastic Processes, and Dynamic Stochastic Control. This is further augmented by optional modules chosen to either broaden your background in pure and applied probability from the Mathematics Institute or to strengthen your statistical knowledge. Subjects may include Stochastic Analysis, the Theory of Random Graphs, Statistical Mechanics, Bayesian Forecasting and Multivariate Statistics. This route is designed for students with a strong aptitude for formal mathematics who desire to master the theoretical underpinnings of uncertainty and randomness. (Please note that optional modules may vary from year to year.)