Statistics MSc

Undergraduate-level modules

• Bayesian Inference
• Computing in Statistics
• Computing in Mathematics
• Design of Experiments
• Financial Mathematics
• Generalised Linear Models and Data Analysis
• Markov Chains and Processes
• Mathematical Biology 1
• Multivariate Analysis
• Population Genetics
• Quantitative Risk Management
• Spatial Processes
• Statistical Inference
• Sampling Theory
• Time Series Analysis

Optional modules are subject to change each year, and some may only allow limited numbers of students (see the University's position on curriculum development).

• Postgraduate-level modules
• Advanced Combinatorics
• Advanced Data Analysis
• Applied Multivariate Analysis
• Advanced Topics in the History of Mathematics
• Ergodic Theory and Dynamical Systems
• Independent Study Module
• Introductory Data Analysis
• Knowledge Discovery and Datamining
• Mathematical Biology 2
• Measure and Probability Theory
• Medical Statistics
• Professional Skills for Mathematical Scientists
• Semigroups
• Software for Data Analysis
• Statistical Modelling

Optional modules are subject to change each year, and some may only allow limited numbers of students (see the University's position on curriculum development).

Dissertation

During the final three months of the course, students complete a dissertation to be submitted by the end of August. Dissertations are supervised by members of teaching staff who will advise on the choice of subject and provide guidance throughout the progress of the dissertation.

If students choose not to complete the dissertation requirement for the MSc, there is an exit award available that allows suitably qualified candidates to receive a Postgraduate Diploma. By choosing an exit award, you will finish your degree at the end of the second semester of study and receive a PGDip instead of an MSc.