Course Overview

We offer a range of pathways for this MSc/PgDip suite of courses. All are designed to provide you with a solid foundation in the theory and application of statistical methods for the natural, social and health sciences.

You study substantive theory, research methods, data collection (including how to use data from large government social surveys) and statistical analysis (including software packages R, SPSS and STATA) and explore the application of this knowledge in a range of areas. Modules are taught in short intensive blocks, making this programme ideal for part-time study.

The specialist pathways offered are Scientific Research Methods, Crime and Social Statistics, Statistical Methods for Health Research, Teaching Statistics (based on your choice of optional modules).

Compulsory Modules:

• Statistical Inference
• Sampling Design
• Questionnaire Design
• Secondary Data Analysis
• Statistical Inference
• Generalised Linear Models
• Secondary Data Analysis
• Multi-Level Models

Optional Modules:
(vary year-to-year)

• Bayesian Methods
• Duration (Survival) Analysis
• Methods for Missing Data
• Data Mining Techniques
• Structural Equation Modelling
• Event History Analysis
• Clinical Trials
• Principles of Epidemiology
• Statistics in Practice
• Quantifying and Evaluating Forensic Evidence
• Quantitative Criminology
• Teaching Statistics