This programme will provide students with a diversity of skills with hands-on expertise in harmonizing, integrating and analysing multimodal healthcare data.

This programme is ideally suited to the needs of future health data scientists, enabling them to perform analyses and develop novel tools and methods for this rapidly growing field. It is aimed at students with diverse backgrounds from biomedical/medical domains, including clinical trainees, as well as computer science, mathematics and statistics to conduct their own analyses, and also to create the next generation of cutting-edge health data scientists who will be able to develop new tools and methods matching the latest technological advancements.

Students will learn about the breadth of health data science, from medicine and biology, over ethics and health care systems and clinical practice, to mathematical modelling and computer science. They will be able to design, perform and enhance analyses with the appropriate methods and technologies to address practical medical and clinical questions.

The MSc Health Data Science leverages University teaching staff diversity – including biomedical, clinical, social, engineering, computer science, informatics, computational, mathematical and applied health sciences – alongside that of the external partners. This will deliver training across the breadth of health data science and research from clinical bioinformatics, health informatics, epidemiology, clinical systems, patient-focused systems, bioinformatics and omics analytics. This environment caters for a diverse and rich, real-world, real- time environment within which the student cohort will be embedded to receive practical delivery of essential skills that will develop their abilities to conduct 21st century health data science.