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Health Informatics with Data Science PGDip
University of Leeds — Leeds, United Kingdom
Health Informatics with Data Science PGDip is a postgraduate Data Science & AI course at University of Leeds, Leeds, United Kingdom. It takes 12 months, costs £20,666 per year and starts in September.
Postgraduate · 12 months · Full-time · Data Science & AI · £20,666 per year
Intakes: September
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 provide solutions. Our forward-thinking course provides insightful training into how modern applications of data and informatics in healt
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
- 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 Health Informatics with Data Science PGDip at University of Leeds?
Health Informatics with Data Science PGDip takes 12 months (Full-time).
How much does Health Informatics with Data Science PGDip at University of Leeds cost?
The listed tuition fee is £20,666 per year. Fees can change, so confirm the current amount before you apply.
When does Health Informatics with Data Science PGDip start?
Intakes: September.
What level is Health Informatics with Data Science PGDip?
It is a postgraduate course in Data Science & AI.
What will I study on Health Informatics with Data Science PGDip?
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.