Health Data Science PhD
University of Liverpool, United Kingdom
Health Data Science PhD
University of Liverpool
Health Data Science
Health Data Science PhD at the University of Liverpool
The Health Data Science PhD at the University of Liverpool allows you to undertake research in cutting-edge data science methods and learn how these can be used in a wide variety of health-related applications. Projects range from state-of-the-art algorithm development through to applying machine learning, artificial intelligence, or statistical methods in groundbreaking biomedical research.
The Department of Health Data Science, within the Institute of Population Health, produces high-impact research in statistical genetics, pharmacogenetics, joint modelling of longitudinal and time-to-event data, multivariate data analysis, and causal inference. The department has a sustained track record of research funded by the Medical Research Council, Wellcome Trust, Horizon 2020, and the National Institute for Health and Care Research (NIHR).
As a postgraduate researcher, you will benefit from strong links with civic health collaborators through Civic Health Innovation Labs (CHIL), an interdisciplinary research centre that provides excellent access to policy makers. This ensures a dynamic experience of using data science methods to inform policy decisions and tackle real-world health challenges.
Key Program Highlights
- Research within a Russell Group university ranked in the global top 150 by both QS and THE World University Rankings
- Access to the Civic Health Innovation Labs (CHIL), connecting your research with NHS, local government, and industry partners
- Develop cutting-edge machine learning, statistical, and data science skills applied to stratified medicine, infections, and public health
- Supervision by internationally recognised researchers with funding from MRC, Wellcome Trust, and NIHR
Research Areas and Training Structure
As a research degree, the Health Data Science PhD is built around an independent research project supervised by leading experts in the Department of Health Data Science. You will also receive structured research training to develop both specialist technical skills and broader transferable competencies throughout your candidature.
Statistical Genetics and Pharmacogenetics
Research ComponentInvestigate genetic variation and its relationship to health outcomes using advanced statistical methods, with applications in personalised medicine and drug response prediction.
Machine Learning and Artificial Intelligence for Health
Research ComponentDevelop and apply machine learning algorithms and AI techniques to analyse complex health datasets, including electronic health records, imaging data, and wearable device outputs.
Joint Modelling of Longitudinal and Time-to-Event Data
Research ComponentExplore advanced statistical frameworks that simultaneously model repeated measurements and survival outcomes, with applications in clinical trials and patient monitoring.
Evidence Synthesis and Health Technology Assessment
Research ComponentCreate and apply evidence synthesis methods to support healthcare professionals in delivering safe and effective care, including systematic review methodologies for NICE and other bodies.
Clinical Trials Methodology
Research ComponentAccelerate the development of new methods for designing, conducting, and analysing clinical trials, particularly in challenging therapeutic areas, through the Liverpool Clinical Trials Centre.
Causal Inference and Health Outcomes Research
Research ComponentDevelop methodologies to enhance health outcome measurement across trials, registries, and electronic health records, applying causal analysis techniques to observational health data.
Additional Research Training Opportunities
Admission Requirements
The Health Data Science PhD welcomes applicants with strong quantitative backgrounds who are passionate about applying data science to health challenges. You are encouraged to develop a research proposal aligned with the department's expertise before submitting your application through Uni4Edu.
Academic Requirements
- Degree RequirementA master's degree or upper second-class honours degree (2:1) or above in a relevant quantitative discipline such as statistics, mathematics, computer science, or a related field
- Quantitative BackgroundSubstantial quantitative methods content in statistics and/or computer science is expected
- Research ProposalA detailed research proposal covering the research you would like to undertake is required as part of your application
- Programming SkillsProficiency in programming languages relevant to data science (e.g. R, Python) is highly desirable
- ReferencesNames and contact details of two academic referees are required
English Language Requirements
- IELTSOverall score of 6.5 with no component below 6.0 (or equivalent)
- TOEFL iBTContact Uni4Edu for current accepted scores and equivalencies
- Pre-Sessional EnglishAvailable for applicants who do not yet meet the minimum English language requirement
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
The University of Liverpool offers several funding opportunities for postgraduate researchers, including prestigious fully funded scholarships and regional bursaries. Uni4Edu can help you identify and apply for the funding options best suited to your profile and circumstances.
Duncan Norman Research Scholarship
Full PhD fees plus GBP 23,000 annual stipendThis prestigious fully funded scholarship covers full payment of PhD fees and provides a cash bursary of GBP 23,000 per year. One award is available in each academic year and is open to outstanding postgraduate research candidates.
Merseyside Research Bursary
Up to GBP 12,000 per year for up to 3 yearsAvailable to UK students born in or with strong family connections to Merseyside, this bursary provides financial support of up to GBP 12,000 per year for up to three years of full-time postgraduate research or up to five years part-time.
Research Council Studentships (MRC, EPSRC, BBSRC)
Varies — typically covers fees plus living stipendThe Department of Health Data Science regularly secures funded PhD studentships through UK Research Councils. These competitive awards typically cover tuition fees and provide an annual living stipend. Contact Uni4Edu for currently available funded positions.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects for Health Data Science PhD Graduates
Graduates of the Health Data Science PhD are exceptionally well-positioned for careers across academia, the NHS, government agencies, pharmaceutical companies, and the growing health technology sector. The interdisciplinary training in machine learning, statistical analysis, and health research methodology opens diverse career pathways in an increasingly data-driven healthcare landscape.
Potential Career Roles
Typical Employers of Graduates
Rankings & Recognition
The University of Liverpool is a founding member of the prestigious Russell Group and the original red brick university, established in 1881. It has achieved significant upward momentum in global rankings and holds a Gold rating in the UK Teaching Excellence Framework, reflecting its commitment to research and teaching excellence.
| Subject | Ranking Body | Rank |
|---|---|---|
| Medicine & Health | University of Liverpool Strength | Top 2 in UK (Dentistry, CUG) |
| Research Power | REF 2021 | 19th in UK |
| Sustainability | QS World University Rankings | #50 globally (2025) |
| Guardian University Guide (UK) | The Guardian | #21 (2026) |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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