MSc in Applied Digital Health

multidisciplinary and expert led

Who is this course designed for?

Aimed at early or mid-career professionals, entrants to this course will come from a wide range of backgrounds, including clinical medicine, public health, medical sociology, psychology, statistics, computer science and engineering. While no pre-existing knowledge is assumed, you must have an interest in both the social and technical aspects of digital health.

Course outline

This course consists of eight compulsory modules, each spanning a two-week block, and a dissertation. The academic year is split into three terms of eight weeks, however, assignments are not restricted to term time only.

The content will take a broad perspective on digital health, equipping students to be future researchers, policymakers, technology specialists or health practitioners. Wherever their particular interests may lie, we believe course graduates will be well placed to do pioneering work in the digital health sector.

Modules:

1. Foundations of Digital Health
2. Harnessing Big Data for Clinical Decision Support
   
3. AI for efficient healthcare systems
   
4. Remote Monitoring and Digital Diagnostics
5. Supporting Health Behaviour Change Using Digital Tools
6. Digital Transformation of Primary Care
7. Economics of Digital Health
8. User Focused Design and the Lifecycle of Digital Health Innovation

The modules spotlight different ways in which digital health can be used to address the challenges facing twenty-first century healthcare. These solutions include harnessing multimodal health data to support diagnosis and prognosis; improving outcomes via remote patient monitoring and digital diagnostics; using digital tools to facilitate physical and cognitive behaviour change; facilitating more efficient and effective models of care delivery; reducing the cost of care.

Upon completion of this course, students will be able to: 

• discuss the drivers, enablers, barriers and challenges to digital health innovation, using real-world examples
• summarise the state-of-the-art in digital health tools – including digital therapeutics, digital diagnostics, artificial intelligence, learning health systems and those that facilitate automated care pathways or improved patient (self)management – and both explain and critically evaluate the theories and techniques that underline them
• identify and formulate a response to the ethical, policy, regulatory and practice challenges facing digital health
• explain in detail the need for user-focused development, meaningful evaluation and successful implementation of digital health tools, and propose appropriate methods, actions and processes to meet these requirements
• describe and apply key qualitative and quantitative research methods used study of digital health care, as well as identify the strengths and weaknesses of those research methods

Course delivery

The teaching is delivered via a range of methods, including lectures, seminars, workshops, presentations, self- directed learning and study, with all theoretical learning underpinned by real world case-studies.