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MSc in Statistics

Covid 19 will - in all probability - also affect the delivery of teaching and assessment in 21/22. The Department is still developing its policy for 21/22, but the hope is to have (much) more face-to-face delivery than was possible in 20/21. However, these policies are continually evolving depending on the latest advice from the University, and indeed the UK government. Blend of face-to-face and online learning for students in 2020/21
There are many benefits from being on campus, of which perhaps the most significant is the ability to interact in a meaningful way with your peers. Although it is likely that the University will allow remote study for the first few weeks at least, the best experience will be available to those who are physically present at the University.
Postgraduate taught students will be invited to Welcome Week (week commencing 27/09). There will be an induction for MSc students and a social event (both online, dates to be confirmed). In addition, MSc students are invited to the two talks given to ALL incoming students (Tuesday and Thursday), and the full social event (ALL incoming students) on the Thursday afternoon. They will also be invited to the Personal Tutor sessions on the Thursday. All of this will be put into their Welcome Week timetables once they’ve been finalised.
A broad and flexible postgraduate course in statistical science

The programme aims to cover topics most relevant to a career as a professional statistician. This training opens the way to employment in many sectors of the economy and public services including medical, health and life sciences, marketing, insurance, banking and pharmaceutical industry, quality management and analytics for business and manufacturing, national and local government.

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. Students taking this course will already have a degree in mathematics or in statistics or in a subject containing a substantial mathematics component (e.g. in sciences or social sciences with a strong quantitative emphasis).

Course content

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.

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:

  • Bayesian analysis and model comparison in mathematical epidemiology: Influenza A (H1N1)pdm09 in households
  • The Cramer-Lundberg model
  • Adequacy of Bayesian massive multiple testing control
  • Cluster and feature models in statistical machine learning.
  • Distributional properties and inferential power
  • Visualisation and inference for distance data with applications to epigenetics
  • Large deviations and its applications in queuing theory