Health Informatics with Data Science MSc
Course Overview - Health Informatics with Data Science MSc
Demand for individuals qualified in health informatics and data science is on the rise. The demand for healthcare services is currently exceeding supply worldwide, and health providers and leading multinationals are heavily investing in information technology to generate solutions.\
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This forward-thinking course provides insightful training into how modern applications of data and informatics in health management and planning can both use and generate evidence to influence policy and practice.
Created by experienced academics and professionals, our course is design...
Demand for individuals qualified in health informatics and data science is on the rise. The demand for healthcare services is currently exceeding supply worldwide, and health providers and leading multinationals are heavily investing in information technology to generate solutions.\
\
This forward-thinking course provides insightful training into how modern applications of data and informatics in health management and planning can both use and generate evidence to influence policy and practice.
Created by experienced academics and professionals, our course is designed for both recent graduates and professionals looking to advance their careers. The course will develop your knowledge and understanding of health informatics, health data science techniques, and real-world application of research methods – skills that are highly sought after by employers.
We combine health, data and social science expertise with a research focus to develop knowledge, skills and awareness of sources and uses of evidence in healthcare.
Developing research capacity in health informatics and data science is a priority area internationally. Staff contribute expertise to the Research Methods Incubator of the UK National Institute for Health and Social Care Research (NIHR) Academy. With us, you will be actively involved in listening to and informing the informatics and data science agenda for health.
Leading expertise
* Learn from experts in health informatics and data science, including in machine learning and AI (MSc and PGDip only).
* Multidisciplinary research expertise is embedded within the curriculum.
* Learn from a curriculum informed by the latest understanding and practice, with academic teams in the Faculty of Medicine and Health, and the Institute of Health Sciences and strong collaborations with Computer Science.
Flexible learning (MSc and PGDip only)
* Both full and part-time options are available so you can apply your learning as you complete the programme.
* Create a bespoke learning journey and choose optional modules to reflect your own interests.
* Tailor your degree to your specific career ambitions, or the needs of your professional sector, including a choice of research projects (MSc only).
To prepare you for these unique challenges ahead, we’ll support you to:
* explore a new and innovative approach to health informatics, statistics and computer science that focuses on patient benefit and evidence-based, high-quality healthcare
* address human and technical challenges in healthcare and health data science
* develop your knowledge of fundamental statistical, social and governance concepts
* study a multidisciplinary approach to health informatics.
Through years of teaching and research, we’ve developed a strong reputation, both nationally and internationally, in health informatics and data science. Our staff are actively engaged in delivering education and skills training; and are involved in a variety of ongoing research projects to improve and redesign health services to better serve patients.
Course Information
5 option s available
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Part-time
Duration
12 Months
Start Date
2027-09-01
Campus
University of Leeds
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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Fees and funding
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