Program Overview

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 the fields 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 in 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 our 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 our student cohort will be embedded to receive practical delivery of essential skills that will develop their abilities to conduct 21st century health data science.

Why study this course?
Students on the Health Data Science programme will:-

• Be embedded within a unique,  diverse, collaborative, interdisciplinary ecosystem integrating academic, NHS and industry and exposed to a rich training ground for the next generation of health data scientists.
• Acquire principles/skills governing health data science, their foundations, and experience/training in their effective application within real-world healthcare settings
• Gain an in depth understanding of  healthcare systems, their underlying ethics and governance structures as well as of the role current/potential future applications of health data science in delivery of patient-centred care alongside patient-provider interactions and wider aspects of healthcare delivery
• Understand how health data science skills can revolutionise utilisation of the relatively-untapped resource of healthcare data and patient-specific genome information for research, clinical care and innovation in the 21st century