Health Data Science MScs

Which master's degree is for you?

• MSc Health Data Science, The University of Aberdeen

  This interdisciplinary MSc aims to develop the next generation of health data scientists. The programme is delivered by academics from the Aberdeen Centre for Health Data Science (ACHDS). It offers specialist elective options to allow students to build a personalised masters depending on their background, interests and skills and includes a work-based placement or research project.

  The MSc is ideal for healthcare professionals who wish to develop data health science skills or students from computational and/or data intensive science backgrounds who wish to work in the health sector.

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• MSc in Digital Health, University of Bristol

  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.

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• MSc in Medical Statistics and Health Data Science, The University of Bristol

  This course is an exciting mix of medical statistics and the latest developments in data science applied to health research.  It aims to give students the skills to engage with the complex statistical and data science healthcare challenges facing the global community.

  Students are trained in the theory and practice of cutting-edge methods in medical statistics and health data science. Teaching will focus on building strong quantitative and computational skills, and effective interpretation and communication of research findings. All concepts, skills and tools are illustrated using real-life case studies and health-related data. Students will also gain professional skills – such as teamwork, presentation skills, and writing for publication – essential for a successful medical statistician and health data scientist.

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• MPhil Population Health Sciences, University of Cambridge

  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.

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• MSc in Health Data Science, University of Exeter

  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.

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• MRes in Data Science and Analytics for Health, University of Leeds

  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.

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• MSc in Precision Medicine: Genomics and Analytics, University of Leeds

  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.

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• MSc in Health Data Science, The London School of Hygiene and Tropical Medicine

  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.

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