Postgraduate

Statistics MPhil, PhD

Statistics MPhil, PhD

MPhil - full time: minimum 12 months, part time: minimum 24 months
PhD - full time: minimum 36 months, part time: minimum 72 months

Profile

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. 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

We have broad research interests covering applied and medical statistics, and a lively seminar programme.

Our work breaks down into the following research groups:

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.

Related Degrees

  • Mathematics MPhil, PhD

    We invite MPhil and PhD proposals in any of our research areas. In Pure Mathematics our two main fields are functional analysis and geometric algebra. In Applied Mathematics our research is predominantly in fluid mechanics, astrophysics and cosmology.

All related programmes

Training & 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.

Researcher Development Programme

Our Science, Agriculture and Engineering Postgraduate Researcher Development Programme aims to help you develop the skills and experience that the UK Research Councils expect you to have, or to develop, during your research degree.

Our programme will help you to:

  • complete a training needs analysis, so that you know what your current skills are and where you need help and development
  • use your training needs analysis to create your personal development plan
  • identify appropriate workshops or other events that will help you most and best address your development needs
  • gain the personal and professional key skills development for the successful completion of your research degree

Postgraduate Research Student Support

Our award winning Research Student Support Team is dedicated to providing you with information, support and advice throughout your research degree studies. The team can help and advise you on a variety of issues from registration to producing your transcripts.

EPSRC Centre for Doctoral Training (CDT) in Cloud Computing for Big Data

The EPSRC Centre for Doctoral Training (CDT) in Cloud Computing for Big Data is a multi-million pound initiative, training the next generation of experts in the analysis of big data using advanced statistical methodologies and the latest cloud computing technologies. MRes plus PhD studentships are offered in this new area in which there is an acute skills shortage.

Computing scientists and statisticians work together on challenging problems in this exciting area. The CDT is supported by many industrial partners worldwide. It also has strong academic links with international groups.

Fees & Funding

2018-2019 fees

The fees displayed here are per year.

MPhil, PhD

UK

Full time: £4,800
Part time: £2,400

EU

Full time: £4,800
Part time: £2,400

International

Full time: £18,600

Find out more about our tuition fees, including how to pay them and available discounts.

EU students starting at Newcastle in 2018 will pay the UK (Home) tuition fee for the full duration of their course.

Funding opportunities

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.

Find out the equivalent qualifications for your country.

Use the drop down above to find your country. If your country isn't listed please email: international.recruitment@ncl.ac.uk for further information.

English Language Requirements

Select an English language test from the list to view our English language entry requirements.

Please email us at international.recruitment@ncl.ac.uk for further information.

If you have lower English Language scores, you may be accepted onto a pre-sessional English course. 

You may need an ATAS (Academic Technology Approval Scheme) clearance certificate. You'll need to get this before you can get your visa or study on this programme. We'll let you know about the ATAS requirement in your offer letter.

How to Apply

Use our Applicant Portal to apply for your course. We have a step-by-step guide to help you.

Before you apply you need to find and contact a research supervisor from the Science, Agriculture and Engineering Graduate School.

When you make your online application, please insert one of the following degree codes on the 'Programme of Study' page:

  • PhD - full time: 8080F, part time: 8080P
  • MPhil - full time: 7080F, part time: 7080P

Start dates

There are usually three possible start dates, although in some circumstances an alternative start date can be arranged:

  • January
  • April
  • September

There is no application closing date for this course, but specific deadlines for funding may apply. 

We suggest international students apply at least two months before the course starts. This is so that you have enough time to make the necessary arrangements.

Deposit

If you live outside the UK/EU you must:

  • pay a deposit of £1,500
  • or submit an official letter of sponsorship

The deposit is payable after you receive an offer to study at Newcastle University. The deposit is non-refundable, but is deducted from your tuition fees when you register.

Contact

Postgraduate Secretary
School of Mathematics, Statistics and Physics
Telephone: +44 (0) 191 208 6960
Email: mathsandstats@ncl.ac.uk