Healthcare is being transformed by digital technologies and big data analytics. On the MSc in Digital Health you will explore the principles and practice of digital health implementation.
- Aimed at students intending to follow a career in digital health.
- Interdisciplinary character helps you to develop a more rounded understanding of digital health questions and concepts.
- Applied components provide practical skills in medical data analysis and the use of digital technologies to address healthcare challenges.
- Links with the Sir James Mackenzie Institute for Early Diagnosis bring you into contact with current digital health research across different disciplines.
- Integrated training programme connects your academic learning with the development of personal and professional competencies.
The MSc in Digital Health is distinguished by its interdisciplinary character and an emphasis on applied skills that will be of particular value if you are looking to follow a career in digital health.
Digital technology is transforming healthcare. It is enabling faster diagnosis and better treatment of illnesses, supporting improvements in patient care, and making healthcare settings more efficient. That transformation is creating a need for professionals who understand existing medical technologies and who have the skills and expertise to develop new technologies, analyse medical data, and inform policy on medical data analytics. Students from the MSc in Digital Health will be able to fill those roles.
On the MSc you will learn about the theoretical underpinnings of digital health. You will look at different forms of health data, the technology that generate them, methods used for processing and analysis, and how digital data is integrated in clinical decision making. In particular, you will develop an appreciation of the challenges in handling, storing and analysing big data in healthcare contexts. An understanding of these principles provides a basis for studying the practical applications of digital health and developing your understanding of how digital health concepts can be applied to solve real-world medical problems. You will learn practical skills in medical data analysis and the use of digital technologies to address healthcare challenges. You will develop your understanding of techniques for programmatically processing medical data such as genetic data, medical images, and patient vital signs. You will also learn about digital health governance and the ethical considerations that can arise when designing and executing medical data analysis studies.
Particular attention is paid to training in bioinformatics and the modelling and analysis of medical data such as patient records and medical images. Theoretical learning is applied to real-world case studies, and you will develop an understanding of practitioner and industry perspectives and the work that is needed across academia and other sectors to advance digital health. More broadly, you will develop practical skills in explaining digital health concepts to different audiences and the translation of academic thinking on digital into recommendations for policymakers and practitioners.
Digital health is inherently interdisciplinary. This MSc brings together academic staff, National Health Service (NHS) colleagues, and industrial partners providing a greater breadth of learning that encompasses real clinical problems as well as the solutions that digital health can provide.
In this way you will engage with critical perspectives on digital health principles and practice. You will be encouraged to develop a more rounded, interdisciplinary understanding of digital health questions and concepts. Through research-led teaching from scholars working in subjects including computer science, medicine, and statistics you will gain an appreciation of the technical, clinical, and analytical aspects of digital health and learn how to critically discuss digital health solutions from multiple disciplinary perspectives.
Optional modules allow you to explore topics such as biomedical imaging, information visualisation, and datamining that will broaden your learning in key areas and further develop the interdisciplinary character of your studies.
The MSc includes an integrated programme of skills workshops that connect your academic learning with the development of personal and professional competencies. Workshops bring together students from other Graduate School for Interdisciplinary Studies Masters degrees, helping you to make new interdisciplinary connections.
The MSc in Digital Health has close links with the Sir James Mackenzie Institute for Early Diagnosis. The Institute brings together researchers from a range of disciplines and builds on St Andrews’ international reputation in digital diagnosis, health data research, and biophotonics. These links will bring you into contact with current digital health research, giving your studies a remarkable richness and depth.
The taught modules are taken over two semesters – September to December (Semester 1) and January to May (Semester 2). The period from June to August is used to complete the end of degree project.
Each taught module will use teaching and learning methods appropriate to its aims. These may include seminars, workshops, lectures, tutorials, and independent study.
Assessment methods used may include essays, reports, presentations, practical exercises, reflective exercises, and examinations.
Further particulars regarding curriculum development.