Health Data Science and Clinical Informatics

This interdisciplinary course provides you with a strong foundation in biostatistics, epidemiology, health technology assessment, machine learning, and health data modelling, as well as hands-on experience with electronic health records (EHRs), biomedical imaging, and sensing technologies.

Whether you’re from a health, life science, computing or engineering background, this course prepares you to apply advanced analytical techniques to real-world health challenges, inform clinical decision-making, and improve patient outcomes. You’ll learn to work confidently with large and complex health datasets, gaining the practical and theoretical expertise sought by employers across the NHS, public health agencies, digital health companies, and the pharmaceutical sector.

With flexible full-time and part-time options and expert teaching led by the Department of Life and Sports Sciences, supported by colleagues from the Schools of Architecture, Built Environment, Computing and Engineering, and Law and Social Sciences, you’ll benefit from a rich interdisciplinary learning experience that prepares you to lead in a rapidly evolving digital healthcare landscape.