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Quantitative Methods for Science, Social Science and Medicine MSc

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:

(may vary from 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