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Quantitative Methods for Science, Social Science and Medicine PGDip

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 InferenceSampling DesignQuestionnaire DesignSecondary Data AnalysisStatistical InferenceGeneralised Linear ModelsSecondary Data AnalysisMulti-Level Models

Optional modules:

(may vary from year-to-year)Bayesian MethodsDuration (Survival) AnalysisMethods for Missing DataData Mining TechniquesStructural Equation ModellingEvent History AnalysisClinical TrialsPrinciples of EpidemiologyStatistics in PracticeQuantifying and Evaluating Forensic EvidenceQuantitative CriminologyTeaching Statistics