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  • DeadlineStudy Details:

    MSc: 12 months full-time

Course Description

Our Statistics MSc is a flexible Masters degree enabling students from a wide range of backgrounds to both broaden and deepen their understanding of statistics.

The course combines in-depth training in mainstream advanced statistical modelling with a broad range of specialisations, including financial mathematics, clinical trials and risk management.

You’ll also develop your understanding of research methods in statistics from writing styles to programming skills, preparing you for a wide range of careers in different sectors. You’ll apply these skills in an independent research project.

Entry Requirements

A bachelor degree with a 2:1 (hons) in a subject containing a substantial mathematical and statistical component.

Successful applicants will have a foundation in Statistics including strong grades in statistical modules (no key marks below 2:2). We may ask for further detailed module information if these are not clear on your transcript. We do not normally accept degrees in Accountancy or Finance.

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Fees

Fees are listed on our website

Programme Funding

Please see our website for funding opportunities.

Student Destinations

There is a shortage of well-qualified statisticians in the UK and other countries. Numeracy, in general, is an attribute keenly sought after by employers. The emergence of data mining and analysis means that demand for statisticians is growing across a wide range of sectors, including:

  • Actuarial, betting and gaming industries
  • Charitable organisations
  • Commercial, environmental and financial organisations
  • Forensic and police investigation
  • Government departments
  • Market research
  • Medical and pharmaceutical organisations

The course is designed specifically to meet this demand.

Many statistical careers require people educated to Masters degree level. This course is designed to build on existing mathematical skills and deepen knowledge of statistics in order for you to access a variety of professions or pursue further research as a PhD student.

Module Details

Compulsory modules
Statistical Computing 15 credits
Dissertation in Statistics 60 credits

Optional modules (selection of typical options shown below)
Introduction to Clinical Trials 15 credits
Mixed Models 10 credits
Mathematical Biology 15 credits
Evolutionary Modelling 15 credits
Linear Regression and Robustness 15 credits
Statistical Theory 15 credits
Stochastic Calculus for Finance 15 credits
Multivariate Analysis 10 credits
Time Series 10 credits
Bayesian Statistics 10 credits
Generalised Linear Models 10 credits
Medical Statistics in Practice 15 credits
Mixed Models with Medical Applications 15 credits
Discrete Time Finance 15 credits
Continuous Time Finance 15 credits
Risk Management 15 credits
Advanced Mathematical Biology 20 credits
Advanced Evolutionary Modelling 20 credits
Linear Regression, Robustness and Smoothing 20 credits
Advanced Stochastic Calculus and Applications to Finance 20 credits
Multivariate and Cluster Analysis 15 credits
Independent Learning and Skills Project 15 credits

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