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We have 46 Medical Statistics PhD Projects, Programmes & Scholarships






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Medical Statistics PhD Projects, Programmes & Scholarships

We have 46 Medical Statistics PhD Projects, Programmes & Scholarships

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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Using Exposome, Omics, and AI to Develop a Digital Platform for Tailoring the Care of Children with Autism Spectrum Disorders

Autism spectrum disorders (ASD) are characterized by social impairments, repetitive behaviours, and restricted interests [1]. Over the past 20 years, there is a significant increase in the incidence of Autism spectrum disorders in the UK [1]. Read more

Data science and child health inequalities

We are excited to share this application for a 4-year PhD studentship based in the Division of Child Health, University of Liverpool, in conjunction with Alder Hey Children’s Hospital, Liverpool, and Imperial College London. Read more

Development of a novel AI model for cardiovascular disease risk prediction by analysing retinal vascular structure and functional changes in blood flow

The Department of Eye and Vision Sciences at the University of Liverpool is inviting PhD candidates who are highly motivated in developing novel risk prediction model of cardiovascular disease (CVD) by analysing retinal images, contributing to a better understanding of relationship between the cardiovascular disease and the functional changes in blood flow. Read more

NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

There is substantial interest in using genetic biomarkers to predict those most at risk of disease and treatment complications; this is one of the focuses of Our Future Health, a national study aiming to recruit 5M participants ( ). Read more

NIHR Leeds BRC: Multimodal predictive modelling of outcome in patients with gastrointestinal cancer

Worldwide, cancer of the upper (oesophagus, stomach) and lower gastrointestinal (colon and rectum) tract is newly diagnosed in 3.6 million patients every year and 2.2 million patients die from this disease every year. Read more

AI Powered Personalized Virtual Heart Modelling

Supervisory Team: Dr Lei Li, Prof. Age Chapman. Project description. In this unique PhD project, we aim to develop advanced AI models for creating cardiac digital twins, i.e., virtual heart models. Read more
Last chance to apply

Statistical and epidemiological methods to investigate intersectional inequalities in the trajectories of multimorbidity: a comparative study

BRC funded PhD. Background. Defining the trajectories of multiple morbidities (multiple long-term conditions. MLTCs) over time is of great importance to understand the course of the diseases and inform effective healthcare strategies. Read more
Last chance to apply

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

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