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We have 83 Medical Statistics PhD Projects, Programmes & Scholarships for UK Students






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Medical Statistics PhD Projects, Programmes & Scholarships for UK Students

We have 83 Medical Statistics PhD Projects, Programmes & Scholarships for UK Students

A PhD in Medical Statistics will require you to provide expert statistical inputs to issues in medical health research. You’ll be concerned with either applying existing or developing new statistical methods in areas of medicine like public health, clinical trials or epidemiology.

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

Statistics has a major role to play across medicine and public health. Research projects in Medical Statistics have both components of Statistics and Medicine. As a Medical Statistics PhD student, you can think of your project as a combination of research in statistical methodologies and their application to challenges in medicine and public health.

Some popular statistical methods in Medical Statistics include

  • Bayesian statistics
  • Casual inference
  • Computational analysis

Some popular medical applications in Medical Statistics include

  • Bioinformatics
  • Brain imaging
  • Clinical trials
  • Epidemiology
  • Genetics

You could also be working on the design and analysis of clinical trials or epidemiological studies. Whatever your research topic, you can expect to be dealing with large health data sets on a regular basis.

The aim is for you to be able to produce a thesis with unique and significant contributions to the field by the end of your PhD. Your thesis should be 75,000-80,000 words long to be defended in an oral examination.

In the UK, a full time PhD in Medical Statistics lasts 3-4 years. Most PhD programmes are completely research led, however, given the interdisciplinary nature of Medical Statistics there might be an induction period at the beginning of your programme during which you’ll be asked to attend basic training and go through some teaching modules.

Entry requirements

For a PhD in Medical Statistics, you’ll need to hold a First or a 2.1 Honours degree in Maths, Statistics or a related subject. A Masters, with Merit or Distinction, in these subjects is also a good foundation for a PhD in Medical Statistics. You’ll be expected to already have knowledge of both practical and theoretical elements of Maths and Statistics.

Depending on where you study, you might also have to prove you have a certain level of proficiency in the language of instruction at your university.

PhD in Medical Statistics funding options

In the UK, a PhD in Medical Statistics is funded by the Medical Research Council (MRC) which provides fully funded studentships along with a tax-free stipend and an annual travel and training budget.

If your PhD comes with an MRC studentship attached, you’ll get guaranteed funding provided you are successful in your application.

PhD in Medical Statistics careers

Many Medical Statistics doctoral graduates chose to either continue research or join academia. However, with the skills and knowledge you’ll gain during your programme, you can also look at a career at public health organisations like the NHS or pharmaceutical companies.

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Listen hard: monitoring effort in listening through physiological signals

Supervisory Team.   Profs. David Simpson, Stefan Bleeck. Project description. Hearing speech is usually easy, but understanding speech in noise or in poor acoustic environments can be very challenging. Read more

Assessing blood flow control in the brain

Supervisory Team.   Profs. David Simpson. Project description. Blood flow to the brain is controlled by a series of interacting complex physiological mechanisms that ensure an adequate supply at all times. Read more

Modelling cardiac function in healthy hearts and diabetes

Additional Supervisor. Prof Susan Francis, University of Nottingham. There is a global pandemic of type-2 diabetes. Diabetic cardiomyopathy is a well-recognised complication, which manifests with early alterations in left ventricular (LV) structure and function. 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

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

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

Neurodevelopment in childhood-onset epilepsies

  Research Group: Centre for Inflammation Research
·      Background. Childhood-onset epilepsies, forty percent of which are due to monogenic causes (1), are associated with negative sequela across the lifespan, including poor academic achievement, difficulties with social and behavioural functioning, and high rates of unemployment. Read more

Morphological phenotyping of the ccRCC TME using Deep Learning and Morphometrics

Histopathology is the foundation of cancer diagnostics and histopathologists are tasked with diagnosing various histological tumour subtypes by examining haematoxylin & eosin (H&E) stained tissue sections, relying on morphology to accurately classify cells within the tumour microenvironment (TME). Read more

DETECTIVE: Deciphering the molecular pathophysiology of CNO towards individualized treatment

Chronic nonbacterial osteomyelitis (CNO, sometimes also referred to as chronic recurrent multifocal osteomyelitis or CRMO) is a rare inflammatory bone disease, that most frequently affects children and young people. Read more

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