Various UK Universities (e.g., University of Leeds, LSHTM)

HDR UK Master's Scholarship Programme

Various UK Universities (e.g., University of Leeds, LSHTM) • United Kingdom

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Unknown (refer to individual university pages) GBP 10,000 Master United Kingdom

This scholarship provides a tuition fee scholarship for students undertaking UK Master's degrees in Health Data Science. Scholars are asked to work on a disease-focused research question for their project.

About the Award

The HDR UK Master's Scholarship Programme is an initiative by Health Data Research UK (HDR UK), the national institute for health data science. Its core mission is to unify the UK's health data to drive discoveries that enhance people's lives. The programme is strategically designed to cultivate the next generation of health data scientists, ensuring the UK maintains its leadership in this critical field. Funding for HDR UK is provided by prominent bodies including UK Research and Innovation, the Department of Health and Social Care in England, and their equivalents in Northern Ireland, Wales, and Scotland, alongside leading medical research charities.

The scholarship's primary purpose is to empower students to embark on careers in health data research by providing financial support for UK Master's degrees in Health Data Science. Scholars engage in disease-focused research projects, collaborating with world-renowned charity partners such as Kidney Research UK, Stroke Association, Diabetes UK, Coeliac UK, and the British Heart Foundation (BHF) Data Science Centre. This partnership model not only provides valuable experience in crucial healthcare research areas but also offers clear career development pathways, preparing students for PhDs, industry roles, and policy positions.

Who Can Apply

Eligibility for the HDR UK Master's Scholarship Programme is comprehensive:

  • Nationalities: The programme welcomes applications from both Home (UK) and international students. International applicants, however, must have secured a confirmed place on an eligible UK Health Data Science Master's programme and be prepared to cover any tuition or living costs exceeding the scholarship amount.
  • Academic Level: Applicants must have a confirmed place on a Master's (MSc or MRes) degree in Health Data Science or an equivalent programme at a UK university.
  • GPA/First Degree: A first degree classified at 2:1 or above in a quantitative subject, such as mathematics, physics, or engineering, is highly desirable.
  • Age Limits: There are no explicit age restrictions. The programme encourages applications from returning students and individuals from under-represented groups.
  • Language Requirements: While not explicitly stated for the scholarship itself, applicants must meet the English language proficiency requirements of their chosen UK university for Master's admission.
  • Field Restrictions: Candidates must be undertaking a UK Master's degree in Health Data Science. A strong, demonstrable interest in relevant disease areas is essential. Applicants should also possess basic coding skills in R or Python. While not mandatory, some prior experience in a life sciences project is considered an advantage. Students may pursue their studies on either a full-time or part-time basis.

What's Covered

The HDR UK Master's Scholarship Programme provides significant financial and developmental benefits:

  • Tuition: The scholarship offers a £10,000 tuition fee scholarship, which is paid directly to the Higher Education Institution (HEI).
  • Other Costs: It is important to note that this scholarship provides a maximum of £10,000 directly towards tuition fees. HDR UK does not offer additional funding for living costs, part-time study, or differences in international tuition fees.
  • Additional Perks: Scholars receive national training and support, including access to live workshops, structured mentoring, and integration into the HDR UK Early Career Researcher Network. The programme facilitates disease-focused research projects undertaken in collaboration with leading charity partners, offering practical application of skills to real-world health challenges. Furthermore, scholars benefit from clear career development pathways, enabling progression into PhD studies, industry positions, and policy roles. Opportunities with specific partners, such as Diabetes UK, may include benefits like student-rate attendance at their Professional Conference.

How to Apply

Applications for the HDR UK Master's Scholarship Programme are submitted via the Health Data Research UK website.

  • Required Documents and Steps:
    1. Secure University Place: Applicants must have a confirmed offer of a place on an eligible UK Health Data Science Master's (MSc or MRes) programme at a UK university before applying for the scholarship.
    2. Application Form: Complete the scholarship application form available on the HDR UK website.
    3. Evidence of Offer: Provide evidence of your confirmed Master's programme place as part of the application.
    4. Statement of Interest: Demonstrate a strong interest in relevant disease areas for your proposed research project.
    5. Academic and Professional Details: While not explicitly listed for the scholarship application itself, it is advisable to have academic transcripts, a CV, and potentially a personal statement ready, as these are typically required for university admissions and may be beneficial for the scholarship application.
  • Tips for Applicants:
    • You can begin preparing your scholarship application even while awaiting a confirmed offer from a Master's programme.
    • Applicants who provide specific examples from their experiences and demonstrate a clear understanding of and interest in the relevant disease areas tend to perform best in the selection process.
    • Highlight your basic coding skills in R or Python.
    • HDR UK strictly prohibits the use of AI assistance, such as ChatGPT, for answering application questions. AI-generated responses will be detected and rejected.

Important Dates

Applications for the HDR UK Master's Scholarship Programme typically open in March and close in June each year. For instance, applications for the 2026 intake closed on 3 June 2026, with interviews scheduled for the week commencing 29 June 2026. Applications for the 2027 intake are anticipated to open in March 2027.

Selection Criteria

Reviewers for the HDR UK Master's Scholarship Programme seek candidates who demonstrate strong academic potential and a clear commitment to health data science research. Key aspects considered during the selection process include:

  • Academic Merit: A first degree at 2:1 or above in a quantitative subject is desirable, along with a confirmed place on an eligible UK Health Data Science Master's programme.
  • Research Interest: A strong and demonstrable interest in relevant disease areas, particularly concerning the proposed disease-focused research project, is crucial.
  • Technical Skills: Applicants are expected to possess basic coding skills in R or Python. Previous experience in a life sciences project is an advantage but not a strict requirement.
  • Motivation and Potential: Reviewers assess the applicant's potential to benefit academically from the Master's course and how the training will open future opportunities, such as pursuing a PhD or entering industry/policy roles. Candidates who provide specific examples from their experience, showcasing their motivation and fit for the programme, tend to be more successful.
  • Selection Process: The process typically involves an aptitude test, followed by an interview. Interviews are usually conducted online.
  • Number of Awards: The scholarship is competitive. While a fixed number of awards is not publicly advertised, it is known that "a small number of scholarships are available each year". For example, a Master's programme at the University of Cambridge, supported by HDR UK, takes around 15 students specializing in health data science annually, with scholarships contributing towards costs. The University of Leeds MRes programme, co-designed with HDR UK, also funded six scholarships.
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