Theoretical Statistics and Probability (S04)

Strengthen your understanding of the mathematical foundations of statistics with this graduate-level certificate. You’ll study probability theory and statistical inference, developing the ability to analyse models, understand assumptions, and assess limitations. The programme introduces you to the theory underlying practical statistical methods and concepts, giving you the tools to construct and evaluate probability models. Ideal for professionals seeking to advance in data-focused roles or those preparing for further postgraduate study, this certificate equips you with rigorous theoretical insight into statistical practice.

Key features of the course

• Cover analytical approaches, classical and Bayesian statistics and the underpinning mathematical theory

• Learn about distribution theory and a range of probabilistic models

• Understand the theory behind statistical inference

• Gain the skills to comment critically on analyses and model choices

Course Modules

This theoretical statistics and probability certificate has one stage, comprising 60 credits.

Stage 1: You’ll study two 30-credit modules that provide the mathematical underpinning for statistical methods and introduce stochastic process models to describe patterns of events.