Overview
Join us for your MPhil or PhD in Statistics. You’ll be supported by experts in your field, who’ll act as your supervision team. Research training and development is also available to our postgraduates in this field.
To help you identify a topic and potential supervisor, take a look at our staff specialisms. You can also read about the PhD projects our postgraduate students have worked on. And a list of suggested statistical projects for postgraduate researchers is also available.
Our work can be broken down into the following research themes:
- bayesian methodology for complex models
- big data scalability and computation
- biostatistics and stochastic systems biology
- spatial and environmental statistics
We take on projects funded by:
- research councils
- major trusts
- government departments
- the EU
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Important information
We’ve highlighted important information about your course. Please take note of any deadlines.
Your course and study experience – disclaimers and terms and conditions
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2024-25.
See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
Qualifications explained
Find out about the different qualification options for this course.
MPhil, PhD
MPhil – Master of Philosophy
An MPhil is available in all subject areas. You receive research training and undertake original research leading to the completion of a 40,000 – 50,000 word thesis.
Find out about different types of postgraduate qualifications
PhD – Doctor of Philosophy
A PhD is a doctorate or doctoral award. It involves original research that should make a significant contribution to the knowledge of a specific subject. To complete the PhD you will produce a substantial piece of work (80,000 – 100,000 words) in the form of a supervised thesis. A PhD usually takes three years full time.
Find out about different types of postgraduate qualifications
How you’ll learn
Delivery and teaching methods
As a statistics PhD student you’ll be supported by team supervision. You’ll also go through a research training analysis to identify any skills that you need to develop.
Your attendance is flexible and will be agreed between you and your supervisors. This will depend on your research project requirements.
Assessment methods
Depending on your modules, you’ll be assessed through a combination of:
- Thesis
- Viva
Additional assessment information
We offer a wide range of projects for the thesis. These will be provided by our academics. You can also propose your own topic.
Postgraduate research student support
Our mission is to help you:
- stay healthy, positive and feeling well
- overcome any challenges you may face during your degree – academic or personal
- get the most out of your postgraduate research experience
- carry out admin and activities essential to progressing through your degree
- understand postgraduate research processes, standards and rules
We can offer you tailored wellbeing support, courses and activities.
You can also access a broad range of workshops covering:
- research and professional skills
- careers support
- wellbeing
- health and safety
- public engagement
- academic development
Find out more about our postgraduate research student support
Your development
Faculty of Science, Agriculture and Engineering (SAgE) researcher development programme
Each faculty offers a researcher development programme for its postgraduate research students. We have designed your programme to help you:
- perform better as a researcher
- boost your career prospects
- broaden your impact
Through workshops and activities, it will build your transferable skills and increase your confidence.
You’ll cover:
- techniques for effective research
- methods for better collaborative working
- essential professional standards and requirements
Your programme is flexible. You can adapt it to meet your changing needs as you progress through your doctorate.
Doctoral training and partnerships
There are opportunities to undertake your PhD at Newcastle within a:
- Centre for Doctoral Training (CDT)
- Doctoral Training Partnership (DTP)
Being part of a CDT or DTP has many benefits:
- they combine research expertise and training of a number of leading universities, academic schools and academics.
- you’ll study alongside a cohort of other PhD students
- they’re often interdisciplinary
- your PhD may be funded
If there are currently opportunities available in your subject area you’ll find them when you search for funding in the fees and funding section on this course.
The following centres/partnerships below may have PhD opportunities available in your subject area in the future:
- Centre for Doctoral Training in Cloud Computing for Big Data
- Discovery Medicine North – MRC DiMeN Doctoral Training Partnership
Your future
Our Careers Service
Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.
Visit our Careers Service website
Quality and ranking
- 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
- 65% increase in research power since 2014 – Research Excellence Framework 2021
- Global Top 130 University – QS World University Rankings 2025
- Global Top 170 University – Times Higher Education World University Rankings 2024
- Top 200 for Statistics and Operational Research – QS World University Rankings by Subject 2024
- Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024Â
Recognition of professional qualifications outside of the UK
From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK
Check the government’s website for more information.
Entry requirements
The entrance requirements below apply to 2025 entry.
Academic entry requirements
A 2:1 honours degree, or international equivalent in:
- computing science
- mathematics
- physics
- statistics
- another strongly quantitative discipline
We also accept MMath/MMathStat and MPhys degrees.
