MSc Health Data Science at the University of Exeter is designed for students who want to combine healthcare knowledge with advanced data science skills to address real-world health challenges. The programme is ideal for graduates from health sciences, life sciences, mathematics, computer science, and related fields who want to develop expertise in data analysis, programming, machine learning, and the use of healthcare data to improve patient outcomes.
Curriculum Structure
Year 1
Throughout this one-year full-time master’s programme, you will develop a strong foundation in health data science through modules focused on computing, statistics, machine learning, and research methods. Modules such as Computing Skills and Python, Research Design and Statistics, and Coding for Machine Learning and Data Science help you build practical skills in programming, statistical analysis, and computational approaches used in healthcare research.
You will then explore how data science can transform healthcare through modules such as Making a Difference with Health Data and Stratified Medicine. These modules introduce you to the use of healthcare data for improving decision-making, developing personalised treatments, and supporting advances in modern medicine. You will also complete a Research Project, where you apply your analytical skills to a real-world health data challenge, often involving healthcare organisations, research groups, or industry partners.
Focus Areas:
Health data science, Python programming, machine learning, healthcare analytics, health statistics, research design, personalised medicine, stratified medicine, computational healthcare, artificial intelligence in healthcare, medical research, health services research, real-world health data analysis
Learning Outcomes:
Develop advanced health data science skills, analyse and interpret healthcare datasets, apply Python programming techniques, understand machine learning methods, use statistical approaches for health research, design and conduct health data projects, apply data science to personalised medicine, evaluate healthcare evidence, work with real-world health datasets, develop analytical and computational skills for healthcare innovation
Professional Alignment (Accreditation):
The MSc Health Data Science is designed to meet the increasing demand for professionals who can combine healthcare expertise with advanced computational and analytical skills. The programme connects with the wider health data science community and supports students in developing knowledge that is relevant to healthcare organisations, research institutions, and data-driven industries.
Reputation (Employability Rankings):
The University of Exeter provides an interdisciplinary learning environment with expertise from areas including mathematics, computer science, genomics, epidemiology, and health services research. Students benefit from a research-led approach and opportunities to explore healthcare data applications linked to NHS partners, pharmaceutical organisations, and health research projects.
The MSc Health Data Science programme at the University of Exeter provides students with practical experience in using data science techniques to address real healthcare challenges. Students develop hands-on skills in programming, machine learning, statistics, and healthcare data analysis through practical workshops, research activities, and collaboration with experts across healthcare, data science, and biomedical fields. The programme focuses on applying technical knowledge to real-world healthcare situations, helping students build the confidence and expertise needed for careers in health analytics, research, and digital healthcare innovation.
Students gain practical skills through a range of learning opportunities and facilities, including:
Complete a Research Project using real-world health data, allowing students to apply data science methods to healthcare challenges and develop independent research skills.
Work with healthcare datasets and analytical approaches that support areas such as health research, personalised medicine, and healthcare decision-making.
Develop programming skills through Python-based learning, helping students gain practical experience with coding methods used in health data science.
Participate in computer workshops and practical sessions designed to strengthen coding, data analysis, and computational problem-solving abilities.
Apply statistical and machine learning techniques through modules focused on health statistics, machine learning, research design, and data science applications.
Work alongside academics and researchers from fields including biomedical science, computer science, mathematics, genomics, epidemiology, and health services research.
Gain experience with applied projects that demonstrate how health data science can support improvements in healthcare services and research.
Use digital learning platforms, online resources, and computing facilities to support programming practice, data analysis, and independent study.
Access facilities at St Luke’s Campus, where students benefit from a healthcare-focused learning environment and connections with medical and research facilities.
Access the Exeter Health Library and specialist academic resources to support healthcare research and evidence-based learning.
Engage with the wider research environment through the Institute of Data Science and Artificial Intelligence, supporting connections with data science research and innovation.
Graduates of the MSc Health Data Science programme develop a strong combination of healthcare knowledge, programming expertise, statistical skills, and data science capabilities, preparing them for careers in the expanding field of digital healthcare. The programme enables students to use data-driven approaches to improve healthcare services, support medical research, and contribute to innovations in areas such as personalised medicine and healthcare analytics. Typical career paths include Health Data Scientist, Clinical Data Analyst, Bioinformatics Scientist, and Healthcare AI Specialist.
The programme supports your career development through a range of opportunities:
The Career Zone at the University of Exeter provides career guidance, employability workshops, one-to-one support, skills development resources, and access to employer-focused events to help students prepare for future opportunities.
Students gain practical experience through research projects involving real-world healthcare data and potential collaborations with organisations such as the NHS, pharmaceutical companies, and health data organisations.
Graduates develop industry-relevant skills in Python programming, machine learning, statistics, healthcare analytics, and data interpretation, which are highly valued across healthcare, research, and technology sectors.
Students benefit from connections with the Institute of Data Science and Artificial Intelligence and engagement with the wider health data science community through research networks and professional activities.
The programme provides exposure to current healthcare challenges through contributions from academics, researchers, healthcare professionals, and industry experts.
Although specific employment rates and salary figures for this programme are not published, graduates gain specialist technical and analytical skills that support careers in healthcare analytics, artificial intelligence, biomedical research, and digital health innovation.
The qualification provides long-term value through the University of Exeter’s strong research environment and interdisciplinary teaching across healthcare, computer science, mathematics, and data science.
Students can strengthen their professional profile through independent research projects, analytical work, and practical applications of health data science methods.
Further Academic Progression:
After completing the MSc Health Data Science, graduates can continue their studies through a PhD in Health Data Science, Artificial Intelligence in Healthcare, Biomedical Informatics, Computational Biology, Epidemiology, Public Health, or related research fields. The advanced analytical skills, programming experience, and research knowledge gained during the programme provide a strong foundation for doctoral study, academic research, and specialist roles in healthcare innovation.



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