Course Level
Master Degree (By Coursework)
CRICOS
106003E
Master of Digital Health and Data Science
You will gain advanced skills to develop, implement, evaluate, and manage data driven technologies, and ultimately standout in a global healthcare sector on the cusp of a major transformation through big data, machine learning, and computation. Our Master of Digital Health and Data Science is designed for professionals looking to expand their digital science expertise to health data, or expand their skills in data science to specialise in digital health.
Campus | Duration | Fees | ATAR |
|---|---|---|---|
Camperdown/Darlington | Full-time - 1 years Part-time - 2 years | $40,100 | N/A |
Structure
Credit points 48
Subjects
- Medical physics
Entry requirements
- To be eligible for admission, an applicant is required to have:
- an honours bachelors degree, from the University of Sydney in a cognate discipline with at least a credit average (65 percent), or qualifications deemed to be equivalent or
- a bachelors degree, from the University of Sydney in a cognate discipline with at least a credit average (65 percent), or qualifications deemed to be equivalent and a minimum of two years of relevant work experience or
- completed the Graduate Certificate in Digital Health and Data Science with a minimum of 65% credit average.
Related Courses
Master of Science (Digital Health)
RMIT University
Master of Science (Extension) - Health Data Science
UNSW Sydney
Master of Health Data Science
UNSW Sydney
Master of Digital Health
La Trobe University
Master of Data Science
Queensland University of Technology (QUT)
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