This Wellcome Trust-funded doctoral programme focuses on human-centred data research applied to health and care data. It aims to equip students with interdisciplinary perspectives to become future scientific leaders in health data research. The programme integrates scientific excellence with a commitment to supporting trainees' working environment and career transitions. It explores concepts, disciplines, and methods relevant to algorithmic design, data capture, human-computer interaction, and evaluation in real-world health settings, ultimately seeking to benefit patients, the public, healthcare systems, and society. The field of health data science is rapidly evolving due to the vast amount of data collected in healthcare. This programme emphasizes understanding 'health data in practice,' including how data is generated, interpreted, and utilized. By combining technical skills with an understanding of human factors and societal impact, graduates will be well-positioned to drive innovation in health data research.
The programme consists of a one-year MRes (Master of Research) followed by a three-year PhD. The MRes year provides foundational knowledge and research experience, while the PhD allows for in-depth, interdisciplinary research. The MRes programme (180 credits, Level 7) includes compulsory and optional taught modules covering research design, qualitative and quantitative methods, and ethical considerations in data technology. It also features a substantial project module. The PhD is framed within four scientific themes: Human-data interaction; Health data in practice; Effective and efficient evaluation; and Actionable information. Students work with supervisors to develop and execute an interdisciplinary research proposal.
Graduates are trained to become future scientific leaders in health data research, equipped with interdisciplinary skills applicable in various sectors. The programme aims to prepare students for impactful roles in academia, industry, and public health.
This programme has now recruited its final intake of students. Please refer to the WIPH PGR pages for other opportunities.
As a Wellcome Trust-funded programme, tuition fees and a stipend are typically covered for eligible students. Specific details on the extent of funding are not provided on the programme page.
The programme is associated with Queen Mary University of London's academic standing and the Wellcome Trust's rigorous standards for doctoral training.
No, this programme has already recruited its final intake of students. Information provided is for general guidance on application processes at Queen Mary University of London for other programmes.
The programme is structured as a 4-year MRes + PhD programme, with the first year dedicated to the Master of Research (MRes) and the following three years for the PhD.
Yes, as a Wellcome Trust-funded programme, tuition fees and a stipend are typically covered for eligible students. Specific details on the extent of funding are not provided on the programme page.
Graduates are trained to become future scientific leaders in health data research. Potential roles include Health Data Scientist, Researcher, Academic, Public Health Analyst, Bioinformatician, and Computational Biologist.
This programme has now recruited its final intake. Generally, a strong undergraduate degree in a relevant field was expected for entry into the MRes programme, and successful completion of the MRes year was required to progress to the PhD.