Delivered by leading universities
This four-year programme in health data science includes one year of foundational training followed by a three-year thesis project.
Where you will study
Students will be registered and based at one of our seven partner universities. Applicants can indicate preferences for universities, and provide relevant information for their choice such as caring responsibilities or personal circumstances.
During the foundational training year students will benefit from events around the UK. Courses may be residential (expenses provided) with up to a week away from their home university or online.
What our students say
“What inspires me is the immersion mix. We have attended some events in-person this year which is quite exciting. We visited AstraZeneca who have given us a lot of presentations about their current work using health data science, which inspires me about future career.” Tianxiao Wang, PhD student at the University of Manchester
How you will be supported
The programme offers:
- Enhanced and tax-free stipends with increases every year (Y1: £19,919 outside London and £22,278 in London).
- Fully-paid tuition fees at the UK ‘Home’ rate (and college fees where required)
- Research expenses and travel costs
- Bespoke training delivered with our industry and academic partners
- A bursary to support the next step of your career post-PhD.
The next recruitment round
You can register right away to be notified when the HDRUK-Turing Wellcome PhD programme opens again
Equality, diversity and inclusion
Our programme is fully committed to creating a diverse and inclusive research culture. We welcome applications from all and in particular those under-represented in STEM subjects and academia. We will:
- seek to understand the challenges and barriers to equality in order to eliminate discrimination, creating an environment where differences are valued;
- promote a culture of inclusion, recognising and celebrating difference and acknowledging the benefits achieved by diversity of thought and experience;
- create a safe, non-judgemental space where we can discuss any issues that arise relating to equality, diversity, and inclusion, and support one another to understand and acknowledge a range of perspectives;
- embed equality, diversity and inclusion across all levels of the programme and in everything that we do;
- educate our community and raise awareness in all areas relating to equality, diversity and inclusion ensuring our commitment to EDI is understood by all.
We aim to accommodate specific needs and personal circumstances but rely on applicants sharing this information with us. Please make us aware of individual circumstances when applying or contact us directly at firstname.lastname@example.org. Please note our applicant privacy notice.
Applicants must have (or be on track to obtain):
- A First Class or 2:1 undergraduate degree in statistics, mathematics, computer science, physics or an allied subject or
- Any undergraduate degree subject and outcome but can demonstrate their suitability for this programme through additional qualifications or research experience.
Allied subjects can include: engineering, machine learning, data science, robotics, systems biology, bioinformatics/biostatistics, epidemiology. Active or currently registered clinicians are not eligible and should consider the Wellcome Clinical PhD programmes.
Applicants also need to meet the following criteria:
- Successful admission to the specified degree programme at one of our partner universities. Students will be expected to meet the admissions requirements of that department and university but do not need to hold the offer at the point of application.
- Two satisfactory academic or relevant references.
- Acceptable proof of a legal right to study in the UK or ability to satisfy the current requirements of UK Visa and Immigration.
Applications will first be checked for eligibility and then will undergo a first stage review. This will involve triage by the programme team and then review by academics from our partner universities. Successful applicants will be invited to an interview either in London or via remote video conferencing.
Applicants should demonstrate that they meet the following criteria:
|Criterion||First Stage (Shortlisting)||Second Stage (Interview)|
|Experience in mathematical or statistical sciences||Y||Y|
|Experience of computer science or programming skills||Y||Y|
|Clear motivation to develop and apply their quantitative skills in a health data science setting||Y||Y|
|Emerging communication and leadership skills and aspiration to develop these across a broad audience||Y||Y|
|Awareness of the mission of Health Data Research UK and the ethical and societal considerations around conducting research with health data||Y||Y|
|Scientific comprehension skills*||Y|
|Scientific reasoning and modelling skills*||Y|
*This will be assessed at interview via a pre-interview exercise.
HDR UK reserves the right to reject applicants who do not meet the criteria at any stage. Regretfully, we can only provide feedback for candidates who reach interview.
Applications will be via the Alan Turing Institute application portal.
- The application information document
- Frequently asked questions
- Our recruitment process
- PhD Applicant Privacy Notice.
Applicants for previous rounds need not reapply.
If you have questions or require adjustments to the application process, please contact us at email@example.com or telephone (+44 (0)770 847 8846).
PhD Overview and Structure
Our PhD programme provides the experience, training and supervision for an extraordinary career as a leader in health data science
PhD Programme: Partners
Partners Queen’s University Belfast (QUB) Representatives: Dr Vijay Tiwari, Professor Mark Lawler Belfast is part of the HDRUK Wales and Northern Ireland substantive site. It is a founding...
PhD Programme team
Our programme is overseen by a team with unrivalled expertise in health data science