Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 222 Statistics PhD Projects, Programmes & Scholarships for UK Students






All locations



All Institutions

PhD Type

PhD Type

All PhD Types



I am a UK student

Statistics PhD Projects, Programmes & Scholarships for UK Students

We have 222 Statistics PhD Projects, Programmes & Scholarships for UK Students

A PhD in Statistics focuses on mastering the mathematical framework behind data analysis. You will be researching processes that help understand data and assess risks. Even though Statistics contains a major component of theoretical maths, it has plenty of application in other fields like Physics, Biology or Finance.

What’s it like to do a PhD in Statistics?

On a PhD level, you’ll be using your existing knowledge of the models and methods in Statistics to work on a unique project that offers significant contribution to the field. Statistics is a vast area of study and you can look at one of some of these popular research topics in Statistics:

  • Bayesian statistics
  • High dimensional data
  • Computation techniques
  • Extreme value theory
  • Probability theory
  • Wavelets

Statistics also has applications in other areas like Biology, Medicine, Finance or Physics. You can, therefore, also decide to focus on a particular application of Statistics. For example, you can have a special focus on statistics within biomedical or social science.

Akin to many other STEM subjects, Statistics PhDs are usually advertised with a research objective. You can also propose your own research projects and they might be considered if they meet the over-arching objectives of the department.

In the UK, a PhD will end with submitting a thesis of around 80,000 words followed by an oral examination where you will defend your research in front of an academic panel. It is also likely that you’ll be asked to enroll as an MPhil student at the beginning of your programme. You can upgrade to a PhD, after a review at the end of the first year, if your supervisor feels your work meets certain standards

Since a PhD is a purely research-based degree, there are no compulsory teaching hours. You’ll work on a mutually decided schedule with your supervisor. However, because of the transdisciplinary nature of the field of Statistics, you might be encouraged to take on some taught modules, that cover certain transferable skills, in your first year.

Entry requirements

If you’re looking to do a PhD in Statistics, you’ll need to have completed a Masters (with Merit or Distinction) in a mathematical subject. Some research programmes may also accept degrees in subjects like Physics, Engineering or Computer Science, provided they have a major mathematical component.

Depending on where you choose to apply, you may also need to show that you have a level of language proficiency in your university’s language of instruction

PhD in Statistics funding options

In the UK, the Engineering and Physical Sciences Research Council (EPSRC) funds PhDs in Statistics. They offer fully funded studentships and a monthly stipend to UK students. PhDs are usually advertised with the funding attached and you’re automatically eligible for it if you’re successful in your application.

If you are an international student, you have the option of the EPSRC PhD Scholarships that contribute towards your tuition fee but do not include a monthly stipend.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse ornare nunc id ante rhoncus finibus. Quisque dolor eros, ultrices varius.

PhD in Statistics careers

A PhD prepares you for a career in academia and the industry. Agriculture, forensics, finance and law are some of the biggest employers of Statistics graduates outside of academia. You can also look at careers in Actuarial Sciences after a PhD in Statistics.

read more

An Artificial Intelligence approach for epidemiological samples and their implementation in mental healthcare systems

Artificial Intelligence holds tremendous potential to revolutionise decision-making in mental healthcare systems. By analysing vast amounts of patient data and identifying patterns, AI algorithms can assist clinicians in accurate diagnosis, personalised treatment plans, and timely interventions. Read more
Last chance to apply

Utilising administrative data to inform FIT-guided suspected colorectal cancer referrals of symptomatic patients

Commercial partner: Alpha Laboratories Ltd. Colorectal cancer (CRC) is the third leading cause of cancer death worldwide. In the UK, around 43,000 new CRC cases are recorded annually, and its comparatively high incidence and mortality represent a considerable public health burden. Read more
Last chance to apply

Subgroup effects in antihypertensive and type 2 diabetes drug classes: a comparative effectiveness and safety study integrating real-world and genetic data

Commercial partner: Janssen. Pharmaceutical Companies of Johnson & Johnson. Estimating subgroup treatment effects from clinical trials is notably difficult due to the limited sample size and under-representation of patients with multimorbidity. Read more

Advancing diabetes screening through data driven approaches

Additional supervisor. Dr Joie Ensor, University of Birmingham. This exciting project aims to update the Diabetes UK “Know your Risk” tool ( which is based on the Leicester Diabetes Risk Score. Read more

Sequential Bayesian inference in complex and realistic dynamical systems

This PhD position will be at the interesting overlap between computational statistics, Bayesian analysis, statistical signal processing, and machine learning, motivated by applications that aim to improve human life and environment. Read more

The University of Manchester - Department of Mathematics

The Department of Mathematics at Manchester is one of the largest Mathematics Departments in the UK and has been home to some of the brightest postgraduate and academic mathematicians. Read more

Resilient autonomous navigation and semantic mapping for agriculture robots

This PhD project aims to develop fundamental methods and practical solutions for agriculture robots to navigate through a variety of agricultural environments, including crop fields, orchards and polytunnels, and operate safely and reliably across different growing seasons. Read more

NIHR Exeter BRC Studentship - Precision medicine data science for type 2 diabetes

Project description. This fully-funded PhD studentship is a research-intensive programme providing training in cutting-edge data science and machine learning methods applied to large-scale clinical datasets. Read more

EPSRC DTP PhD project: The prevalence and persistence of antibiotic resistance plasmids in wastewater.

The University of Bath is inviting applications for the following PhD project commencing on 30 September 2024 under the supervision of Prof Edward Feil in the Department of Life Sciences, with co-supervison from Prof Barbara Kasprzyk-Hordern in the Department of Chemistry and Dr Theresa Smith in the Department of Mathematics. Read more

Filtering Results