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Statistics


Course Description

This MSc has a strong theoretical and methodological component to supplement a focus on applications of statistics to real life scientific problems. You can opt to follow pathways in medical, pharmaceutical or environmental statistics, depending on your field of interest. Graduates tend to enter careers as practising statisticians, university research assistants or go on to study for a PhD.

For each pathway you will follow a set of compulsory modules covering core theory and methods, applied statistical modelling and practical skills in topics such as statistical computing, scientific writing, presentation and consultancy. You will also study optional modules tailored to your research interests and career aspirations. Your studies are completed with a supervised in-depth dissertation aimed at solving a substantive research question.

Modules

Compulsory modules:
- Statistics in Practice
- Likelihood Inference
- Generalised Linear Models
- Bayesian Inference
- Computational Intensive Methods

Optional modules (choose five):
- Extreme Value Theory
- Clinical Trials
- Principles of Epidemiology
- Genomics: Technologies and Data Analysis
- Longitudinal Data Analysis
- Pharmacological Modelling
- Survival and Event History Analysis

Visit the Statistics page on the Lancaster University website for more details!

Entry Requirements

Second class honours degree, or its equivalent, in a subject with a strong mathematics or statistics component. Conversion modules are available. IELTS: 6.5 or equivalent.

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