**The information provided on this page was correct at the time of publication (November 2024). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
The MSc in Applied Digital Health is a one-year, full-time course, designed to teach the interdisciplinary knowledge and skills needed in the fast-growing area of digital health.
The MSc is led by the Nuffield Department of Primary Care Health Sciences (NDPCHS). The course combines front line clinical experience with theo...
**The information provided on this page was correct at the time of publication (November 2024). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**<br/><br/>The MSc in Applied Digital Health is a one-year, full-time course, designed to teach the interdisciplinary knowledge and skills needed in the fast-growing area of digital health.<br/><br/>The MSc is led by the Nuffield Department of Primary Care Health Sciences (NDPCHS). The course combines front line clinical experience with theoretical and methodological expertise, capitalising on the breadth of internationally leading digital health research in the department. In addition, recognising the interdisciplinary nature of digital health, the MSc draws on the expertise of faculty from across the University, spanning medicine, social science, engineering, computing and data science.<br/><br/>Digital Health is one of five cross-cutting themes in the departments research strategy. Applied Digital Health is also one of six themes in the National Institute for Health Research (NIHR) Oxford & Thames Valley Applied Research Collaboration (ARC), led by Theme Lead John Powell, Academic Director of the MSc in Applied Digital Health.<br/><br/>Academic staff in NDPCHS have world-leading reputations in researching a wide range of digital health topics: from applied social science and clinical researchers leading studies aimed at bringing a critical perspective to understanding the practices and processes of digital health care, to data scientists and software developers working on novel ways to access and analyse<br/>and share actionable insights from routine digital data.<br/><br/>Aimed at early-career professionals, entrants to the MSc in Applied Digital Health come from a wide range of backgrounds, including (but not limited to) clinical medicine, medical sociology, psychology, statistics, computer science and engineering. No pre-existing knowledge is assumed, although you must have an interest in both the social and technical aspects of digital health. The breadth of content means that this MSc is not suitable for those who wish to focus their studies on only one component of the digital health field.<br/><br/>Upon successful completion of the course you will be able to:<br/><br/><br/>- discuss the drivers, enablers, barriers and challenges to digital health innovation, using real-world examples<br/><br/><br/>- 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 underlie them<br/><br/><br/>- identify and formulate a response to the ethical, policy, regulatory and practice challenges facing digital health<br/><br/><br/>- 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<br/><br/><br/>- describe and apply key qualitative and quantitative research methods used to study digital health care, as well as identify the strengths and weaknesses of those methods.<br/><br/><br/>It should be noted that this MSc is not a computing or engineering course. While it does include significant content on the concepts underlying tools and technologies commonly used in digital health, it does not teach how to programme digital health software. <br/><br/>**For the full description, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
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Course Details
Information
Study Mode
Full-time
Duration
12 Months
Start Date
10/2025
Campus
University of Oxford
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
O33
Points of Entry
Unknown
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