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MSc Health Informatics with Data Science
University of Leeds — Leeds, United Kingdom
MSc Health Informatics with Data Science is a postgraduate Data Science & AI course at University of Leeds, Leeds, United Kingdom. It takes 12 months, costs £30,100 per year and starts in September.
Postgraduate · 12 months · Full-time · Data Science & AI · £30,100 per year
Intakes: September
This course is the 12-month full-time MSc. For our 24-month part-time MSc, please visit this page. 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-thinki
Modules
- Statistics and Modelling for Health Sciences
- Foundations of Health Data
- Human Factors in Health Data Science
- Informatics and Data Science in Health Care and Research
- Law, Ethics and Governance for Health Data Science
- Artificial Intelligence and Machine Learning in Health
- Research Project
- Applied Qualitative Health Research
- Introduction to Health Economics
- Key Issues in International Health
- Monitoring and Evaluation of Health Programmes
- Visualisation for Health Data
Frequently asked questions
How long is MSc Health Informatics with Data Science at University of Leeds?
MSc Health Informatics with Data Science takes 12 months (Full-time).
How much does MSc Health Informatics with Data Science at University of Leeds cost?
The listed tuition fee is £30,100 per year. Fees can change, so confirm the current amount before you apply.
When does MSc Health Informatics with Data Science start?
Intakes: September.
What level is MSc Health Informatics with Data Science?
It is a postgraduate course in Data Science & AI.
What will I study on MSc Health Informatics with Data Science?
Modules include Statistics and Modelling for Health Sciences, Foundations of Health Data, Human Factors in Health Data Science, Informatics and Data Science in Health Care and Research, Law, Ethics and Governance for Health Data Science and Artificial Intelligence and Machine Learning in Health.