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Statistics at Newcastle University - UCAS

Course options

2024 - 20252025 - 2026
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Course summary

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, Statistics and Physics 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. Research areas Our work breaks down into the following research groups:

  • Bayesian methodology for complex models
  • Big data scalability and computation
  • Biostatistics and stochastic systems biology
  • Spatial and environmental statistics
Research funding We undertake projects funded by the Research Councils, major trusts, government departments and the EU. Since 2008, members of the School have been named on over £16m of research awards. Many of these awards were for large interdisciplinary projects, in which the School played a vital role, including: •a £5.5m Engineering and Physical Sciences Research Council grant to explore the potential of microorganisms to provide clean water •a £1.5m European Commission project to study eukaryotic genomic origins, parasites, and the essential nature of mitochondria •a £2.1m Medical Research Council funded project on ways to advance health and wellbeing in later life. In total, £3.5m of funding was attributed to the School. Facilities We are located in the Herschel building which has well-equipped seminar and meeting rooms. You will have access to online research facilities via your own desktop PC in a shared postgraduate work space. There is also a teaching cluster (of about 150 PCs) within the School. Computing support is provided by two specialist technical staff who are expert in providing assistance with fast numerical and distributed processing. As well as the library resources provided by the main Peter Robinson Library, you will have access to the School's mathematics and statistics library and reading room.

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. International Students To study this course you need to meet our Band 2 English Language requirements: Direct Entry : IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills) If you have lower English Language scores, you may be accepted onto a pre-sessional English course. Our typical English Language requirements are listed as IELTS scores but we also accept a wide range of English Language tests. The equivalent academic qualifications that we accept are listed on our country pages.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Statistics at Newcastle University - UCAS