This four-year programme in health data science is led by Health Data Research UK (HDR UK) and supported by the Wellcome Trust. It includes one year of foundational training followed by a three-year thesis project. The programme is a collaboration between HDR UK, The Alan Turing Institute and seven partner universities: the universities of Birmingham, Cambridge, Edinburgh, Manchester, Oxford, University College London, and Queen’s University Belfast.
This document provides guidance for applicants and details of how to apply. We also recommend that you review our Frequently Asked Questions (FAQ document).
About the Programme
This four-year funded cohort-based doctoral programme provides an in-depth training for graduates interested in bringing their statistical and computational skills to health data science.
All studentships are taken in partnership with a home university, which will be the awarding body for the doctorate degree, where the student will be registered. The programme includes an initial year of foundation training followed by a three-year research project. Students will join a cohort with colleagues studying across the UK coming together regularly throughout the first year for training events.
Year 1: Foundation Training
The foundation year will include a series of training events intended to strengthen students’ skill-sets and provide them with knowledge and insight into the activities of HDR UK and partner institution’s researchers and research projects. These events will support students to develop their PhD research projects and supervision teams for Years 2-4. Throughout the foundation year each student will be allocated a personal tutor at their home university to support and guide their development.
The foundation year will focus on three major activities:
- University-based training – including short lab rotations, projects, and courses designed to integrate students into their home university and gain insight into research topics for Years 2-4.
- Immersions – a series of 3-5 day residential workshops, coordinated by HDR UK, to gain in-depth insight into particular academic topics or industrial applications.
- Personal and cohort development – a series of short workshops and courses designed to encourage the cohort to support each other and foster professional development.
Year 2-4: Thesis Project
Each student will devise an individual three-year research project at the end of the foundation year.. We strongly encourage joint supervision teams covering a range of skills and backgrounds between universities within our partnership and the incorporation of public-patient co-design.
Location Start Date and Duration
Students will be registered and based at one of our seven partner universities:
- University of Birmingham
- University of Cambridge
- University of Edinburgh
- University of Manchester
- University of Oxford
- University College London
- Queen’s University Belfast
As this is a national programme, studentship awards will be spread across our partner universities. Students will be able to indicate on the application form the universities in which they are interested, as well as providing any additional relevant information for their choice e.g., caring responsibilities or personal circumstances. Applicants who are only interested in a single, specific university are encouraged to consider applying for alternative PhD programmes at those universities directly. This year, priority will be given to allocating students to the Universities of Birmingham and Queen’s University Belfast.
During the foundational training year students will attend training events around the UK. Training courses may be residential, requiring periods of up to a week away from their home university, provided that health restrictions and current guidance allow these to be conducted safely; otherwise, events will be held online.
The programme will provide students with accommodation and travel expenses during residential training. For more details please see our FAQ.
Start date and duration
The next round of applications is open for students who will begin their studies from September 2022. This is a four-year programme.
Full time/ part time
Studentships are available on a full time or mixed mode basis. For more details please see our FAQ.
Studentships awarded for this programme include the following support:
- Tax free student stipend (Year 1 rates of £19,919 for those based outside London and £22,278 for those based in London, with increases each year).
- PhD registration fees at the UK student rate and college fees where required. Candidates with a non-UK Fee Status will be required to demonstrate they are in receipt of an additional scholarship, or a partial fee-waiver from the university concerned, covering the difference between UK and Overseas fees. The programme does not accept self-funded or partially self-funded students.
- Research expenses
- Travel costs, including registration fees and childcare or any other caring responsibility cost
- Transition costs at the end of the studentship to help you move to the next stage of your career
Equality, Diversity and Inclusion
Our programme is fully committed to creating a diverse and inclusive research culture. We welcome applications from all applicants and in particular those under-represented in STEM subjects and academia. In all aspects of the PhD programme, 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 also recognise that there may be individual circumstances that we need to be aware of. We aim to accommodate specific needs and personal circumstances but are reliant on applicants sharing this information with us.
To discuss an adjustment to the application process please contact our team directly at firstname.lastname@example.org or call +44 (0) 203 862 3578. There is also a section on the application form where applicants may make us aware of individual circumstances.
You many already know what adjustments you require, or you may like to have a confidential discussion around your options. Further information relating to communicating your requirements can be found in the FAQ.
We will treat any information you disclose to us as sensitive and will process it in line with the Data Protection Act 2018. You find out more information about how we handle your personal data in our Privacy notice.
Eligibility and assessment criteria
To be eligible to apply for this programme applicants should meet one of the following criteria:
- Hold or expect to hold a UK bachelor’s degree of at least an upper second class (2.1) in statistics, mathematics computer science, physics or an allied discipline* (or equivalent qualification for non-UK applicants); or
- Hold a bachelor’s degree of any outcome/discipline and be able to demonstrate their suitability through additional qualifications or experience in mathematics, statistics, computer science, physics or an allied discipline (e.g. a master’s degree or research experience).
- Examples of allied disciplines:
- Machine Learning
- (Health) Data Science
- Systems biology
To be accepted on the programme, applicants will also need to meet the following eligibility 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 students do not need to hold the offer at the point of application.
- At least two satisfactory academic or relevant work placement/employment references.
- Students will need to provide acceptable proof of legal right to study in the UK or ability to satisfy the current requirements of UK Visa and Immigration.
We are looking for applicants who can 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.
The information on the above table, and available spaces at home universities, will be taken into consideration to select successful candidates for the programme. Candidates are able to select the universities they would and would not consider in the application form.
|Application stage||Key Dates|
|Applications open||5th October|
|Applications close||1st December|
|Interviews||Week of 31st January|
|Outcomes communicated by||1st March|
How to Apply
Applicants apply through our Flexigrant application system. The application form will ask for details of your experience and why you are interested in applying to the programme. For more details about what is asked for on the application form please see the FAQ.
You will also need to submit the following:
- Details of two referees (who will be invited to submit a reference through the system)
The deadline for applications is 1st December 2020 at 12:00pm GMT.
Applicants must also separately apply to the partner university they wish to attend, and we advise checking local application deadlines. All offers will be conditional on applicants gaining admission to the relevant partner university. For more details please see the FAQs.
Applications will first be checked for eligibility and then will undergo a first stage review. This will involve applications being triaged by a member of the programme team and a longlist of applications being reviewed by academics from our partner universities. Successful applicants will be then be invited to the second stage of the assessment process, which is an interview either in London or via remote video conferencing.
HDR UK reserves the right to reject applicants who do not meet the criteria at any stage. Due to the large number of applications anticipated it will not be possible to provide feedback for applicants not invited to interview.
For further information please see our FAQs.
Please also see our privacy notice.
Questions can be emailed to email@example.com.