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Statistics MPhil


Course Description

Course overview

We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.

As a research postgraduate in the School of Mathematics and Statistics you will be supported by a team of experts in your chosen field. You will also have the opportunity to develop and enhance your skill set through appropriate research training.

To help you identify a topic and potential supervisor, we encourage you to find out more about our staff specialisms and read about the PhD projects undertaken by some of our recent postgraduate students. A list of example statistical projects currently offered is also available.

As a PhD student you will be supported by team supervision. You will also go through a research training analysis to identify any skills that you need to develop.

Attendance is flexible and agreed between you and your supervisors depending on the requirements of your research project. You are expected to undertake 40 hours of work per week, with an annual holiday entitlement of 35 days (including statutory and bank holidays).

Research Areas

Our work breaks down into the following research groups: Bayesian statistics (http://www.ncl.ac.uk/maths/research/statistics/bayes/); Biostatistics (http://www.ncl.ac.uk/maths/research/statistics/biostatistics/); Statistical bioinformatics and stochastic systems biology (http://www.ncl.ac.uk/maths/research/statistics/bioinformatics/)

Training and Skills

As a research student you will receive a tailored package of academic and support elements to ensure you maximise your research and future career. The academic information is in the programme profile and you will be supported by our Postgraduate Researcher Development Programme and Research Student Support Team.

For further information see http://www.ncl.ac.uk/postgraduate/courses/degrees/statistics-mphil-phd/#training&skills

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/statistics-mphil-phd/#howtoapply

Visit the Statistics MPhil page on the Newcastle University website for more details!

Entry Requirements

A 2:1 honours degree, or international equivalent, in: computing science; mathematics; physics; statistics; another strongly quantitative discipline. We also accept MMaths and MPhys degrees. If your first language is not English you need an overall IELTS score of 6.5. You may need an ATAS (Academic Technology Approval Scheme) clearance certificate.

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