This course allows students to become digital health experts with the skills to work in multidisciplinary teams in industry or the health and care services. Students learn to evaluate new products and assess the ethical principles that guide the development of health technologies. Those from an engineering or computer sciences background will learn about the health landscape. Those from health science or life science will be introduced to coding, data analysis and e-health.
A great start for your health data career
Applications are now open for the 2023 HDR UK MSc programme – this is some of the great deal they offer for students:
Skills: The courses provide up-to-the-minute skills that and a strong foundation for people with ambition and talent.
Top universities: Our master’s degrees are highly sought after and respected because they are delivered in partnership with leading universities.
Funding: Successful applicants have up to 100 per cent of their course fees paid and also receive stipends for accommodation and living expenses.
Career readiness: Each degree offers something different but all allows those with health, life and quantitative science degrees to become effective members of multi-disciplinary teams.
A recent survey shows that our master’s graduates are successful in finding exciting new opportunities – with many going on to PhDs or jobs in industry, the NHS or academia. Some, like Amy Heather, are offered career opportunities during the first few months of their MSc studies.
Which master's degree is for you?
The MPhil in Population Health Sciences is a new postgraduate course at the University of Cambridge open to students from diverse backgrounds, including quantitative, biological or medical. The modular course is flexible and allows for specialisation in a number of different themes: health data science, infectious diseases, epidemiology, global health, public health, and primary care research. The Health Data Science theme offers a broad education in methods from the mathematical, computational and statistical sciences that can be applied to answer scientific questions in biology and medicine. Topics covered include advanced biostatistics, machine learning, causal inference, geostatistics, bioinformatics, infectious disease dynamics and quantitative genetics. Students will also have the opportunity to introduce themselves to fields of application by choosing from numerous optional modules in the wider course, with topics from non-communicable disease epidemiology to microbial genomics.
This MSc is a gateway to exciting careers in health data. Students come from many backgrounds – not necessarily medicine or biology. They learn and apply their quantitative skills (for example computing, maths, or statistics) in a health and medical setting. There is the chance to carry out real world research – project opportunities include placements in the NHS or with pharmaceutical companies. Overall the programme offers a genuinely interdisciplinary experience and an opportunity to gain cutting edge skills in health-related data.
A Masters degree offering comprehensive training in the management, modelling and interpretation of health and healthcare data. It equips students with the skills to gain empirical insights from large and varied data sources, to understand the causes of disease and predict and evaluate health outcomes and health service needs. It enables you to develop the technical and applied skills for addressing real‐world challenges. There are extended periods of hands‐on experience in workplace‐based projects.
Biomedical research is generating huge volumes of complex genomic data that can drive improvements in medical diagnostics and therapies. As a result there’s a growing need for people who combine a biological knowledge base with computational, statistical and analytical skills. This MSc trains students (primarily from a biological/natural sciences/medical background) in the analysis of genomic big data, from the basics of statistical and computational analytics, through bioinformatics, analysis of high-throughput sequence, proteomic and metabolomic data to genetic epidemiology and clinical trials.
This programme aims to train a new generation of world-leading health data scientists with the skills employers need. Graduates will learn to manage and analyse large, diverse healthcare datasets. They will develop strong quantitative, computational and practical data management skills and key professional skills. The programme also explores the varied roles of health data scientist, sources of health data and issues surrounding ethics, security and information governance.
Full course details are available from the universities. But if you have any questions about HDR UK training and education please contact us.
William Elson – points of convergence
William Elson realised that he needed to learn better ways to deal with data while in the Amazonian region of Peru, struggling with Excel sheets crammed with data for a project focused on the Zika...
Emily Tinsley – a future in bioinformatics
After completing a genetics degree Emily spent nine months working at the EBI (European Bioinformatics Institute) – an experience which did much to shape her future. In her role as a trainee...
James Godwin – from MSc to PhD
Within an hour of his interview James Godwin was offered one of two coveted Cancer Research UK-funded PhD places to study epidemiology at the University of York. The MSc in health data science he...
Amy Heather – scholarship student
Within a few months of starting her MSc in Health Data Science at the University of Exeter, Amy Heather succeeded in securing a job as a researcher. Originally from Suffolk, Amy took a BSc in...
Simon Wellesley-Miller – NHS Information Manager
As a part-time student, taking his MSc while working as an information manager, Simon Wellesley-Miller is able to put what he learns into practice in the NHS straight away. He has been with Devon...
Sagar Jhamb – preparing for the jobs market
One of the attractions of the University of Exeter’s MSc in Health Data Science for Sagar is that it involves a research project that allows students to apply what they have learned in a...
Tamir Sirkis – medical student
Taking an MSc in Health Data Science has given medical student Tamir Sirkis a fresh perspective on his own future. At school he had a talent for coding, maths and statistics and found he missed...