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MSc in Statistics

The Master's programme provides a broad and flexible postgraduate course in statistical science. Students taking this course will already have a degree in mathematics or in statistics or in a subject containing a substantial mathematics component.

MSc, key links:

PG Brochure 13-14 
Postgraduate Study in Statistics (PDF Document) booklet

For the nine month period from October to June, all the students will be engaged in attending a set of courses ranging across the spectrum of the most fundamental areas of Statistics and Probability.

After completing the taught portion of the Master's the student will have acquired sufficient knowledge and understanding of topics in statistical theory and practice and in probability to provide a basis for academic research or a career as a statistician. Master's students will then continue for a further three months to put their knowledge into practice in the dissertation.

The programme aims to cover topics most relevant to a career as a professional statistician. Prior knowledge of basic statistical theory and methods is assumed, such as would be covered in a typical first degree in mathematics or a joint degree between statistics and some other discipline.

Destinations of recent graduates
Global demand for MSc-trained statisticians is very strong indeed. In recent years our MSc graduates have gone on to a wide variety of employment or further training, including:
  • research degree (PhD) in Statistics or a related discipline
  • medical research
  • bioinformatics research
  • pharmaceutical industry
  • actuarial work
  • investment banking
  • government statistics.
Some recent MSc dissertations
The MSc course includes undertaking a major project, resulting in a substantial dissertation. Students usually find this a particularly rewarding aspect of the course. The MSc projects vary widely in nature, from theoretical to applied. Some recent project titles include:
  • Building a modelling framework for cluster inference: Where's the blob?
  • Bayesian modelling of cortical excitability and sleep in parkinson's disease
  • Effect of selection rules on the CI following adaptive seamless design
  • Learning to see in an unlabelled world
  • Classification of multiple sclerosis patients from spatial distribution of lesions
  • Meta-analysis of standardised mortality ratios of traumatic spinal cord injuries

[G] indicates a project provided by an industrial partner, GlaxoSmithKline UK.

General queries?

stats dot pg dot support at warwick dot ac dot uk

MSc Admissions Tutor:
Dr Dario Spanò