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University of Oxford: Applied Digital Health
| Institution | University of Oxford |
|---|---|
| Department | Primary Care Health Sciences |
| Web | http://www.ox.ac.uk/study |
| graduate.admissions@admin.ox.ac.uk | |
| Telephone | +44 (0)1865 270059 |
| Study type | Taught |
MSc
Summary
The information provided on this page was correct at the time of publication (November 2025). For complete and up-to-date information about this course including information about course components or research areas, please visit the course page on the University of Oxford website.
The MSc in Applied Digital Health is a taught, full-time course combining clinical, social, and technical perspectives to explore digital health tools, AI, diagnostics, ethics, and implementation in healthcare.
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.
Digital Health is one of five themes in the department's 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.
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 healthcare, to data scientists and software developers working on novel ways to access and analyse and share actionable insights from routine digital data.
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.
Upon successful completion of the course you will usually be able to:
-
assess and debate current issues for health systems seeking to harness digital health
-
summarise the state-of-the-art in digital health tools – including digital therapeutics, digital diagnostics, learning health systems and those that facilitate automated care pathways or improved patient (self) management – and describe how they work
-
identify and formulate a response to the ethical, policy, regulatory and practice challenges facing digital health
-
identify and discuss the drivers, enablers, barriers and challenges to digital health innovation, both generally and for real-world examples
-
explain the requirements for user-focused development, meaningful evaluation and successful implementation of digital health tools, and propose the actions and processes needed to meet these requirements
-
understand the main qualitative and quantitative research methods used in the study of digital health, and identify the strengths and weaknesses of each use existing literature to explore a specific digital health topic and be able to contextualise that learning in terms of the wider digital health eco-system.
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.
For the full description, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
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 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.
Digital Health is one of five cross-cutting themes in the department's 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.
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 and share actionable insights from routine digital data.
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.
Upon successful completion of the course you 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 underlie 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 to study digital health care, as well as identify the strengths and weaknesses of those methods.
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.
For the full description, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
The information provided on this page was correct at the time of publication (November 2023). 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 to drive innovation 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 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.
Aimed at early-career professionals, entrants to the Applied Digital Health MSc will 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 applicants 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 applicants who wish to focus their studies on only one component of the digital health field.
Upon successful completion of the course graduates 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 underlie 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 to study digital health care, as well as identify the strengths and weaknesses of those methods.
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 students how to programme digital health software.
Course outline This course consists of eight compulsory modules and a dissertation.
Module titles are as follows:
-
Foundations of Digital Health
-
Real World Data for Disease Surveillance and Quality Improvement
-
Harnessing Big Data for Clinical Decision Support
-
Remote Monitoring and Digital Diagnostics
-
Supporting Health Behaviour Change using Digital Tools
-
Digital Transformation of Primary Care
-
Economics of Digital Health
-
User Focused Design and the Lifecycle of Digital Health Innovation
For the full description, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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 |
| Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
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