Master of Digital Health and Data Science

1. Bachelor’s degree in a cognate discipline (Data Science, Computer Science, Mathematics, Statistics, Engineering, Health Sciences, Medical Sciences, or related) with credit average.
2. Bachelor’s degree in a cognate discipline + at least 2 years relevant work experience (for those whose bachelor is AQF level 7).
3. Completion of the embedded Graduate Certificate in Digital Health and Data Science with a credit average is accepted for entry.
4. English language proficiency (for international applicants) as per university standards.

The Master of Digital Health and Data Science at the University of Sydney is a cutting-edge postgraduate programme that brings together health professionals, engineers, data scientists and IT practitioners to drive innovation in healthcare. Students learn how digital technologies (including e-health, telehealth, mobile health, health informatics) combine with data science methods (such as machine learning, predictive modelling, data analytics) to optimise health service delivery, enhance patient outcomes and streamline health systems. The curriculum includes core units such as “Foundations of Digital Health” and “Foundations of Healthcare Data Science”, data science and digital health electives, and culminates in a capstone project delivering real-world impact. The cross‐faculty delivery ensures a blend of technical depth and health domain relevance, enabling graduates to move into roles bridging technology and health. (See unit table for details)