Master of Digital Health and Data Science
Information and Communication Technologies (ICTs)
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.
Official- Duration
- 1 years
- Qualification
- Masters by Coursework
- AQF 9
- Campus
- Camperdown/Darlington Campus
- NSW
- Course code
- CRICOS 106003E
Campus images supplied directly by the institution.
Course overview
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.
Entry requirements
Requirements are recorded per intake year and per audience. Meeting them does not guarantee an offer.
To be eligible for admission, an applicant is required to have: - A bachelor’s degree with honours in a cognate discipline with at least a credit average; or - Completion of the requirements of the embedded Graduate Certificate in Digital Health and Data Science with a credit average. Planning reference: missing 2027 requirements use the latest published requirements from 2026; newer explicit 2027 requirements take precedence.
English language
Band minimums apply in addition to the overall score.
- TOEFL iBTOverall 85L 17 · R 17 · W 19 · S 17
- IELTS AcademicOverall 6.5L 6 · R 6 · W 6 · S 6
- PTE AcademicOverall 64L 60 · R 60 · W 60 · S 60
Additional requirements
Academic entry requirement
To be eligible for admission, an applicant is required to have: - A bachelor’s degree with honours in a cognate discipline with at least a credit average; or - Completion of the requirements of the embedded Graduate Certificate in Digital Health and Data Science with a credit average.
Additional entry requirement
AQF Level 7 bachelor-equivalent study; course-specific criteria; English proficiency.
Intakes and tuition
Tuition is recorded per intake with the institution's own basis. Superseded rows are kept so fee changes stay visible.
| Intake | Campus | Starts | Applications close | Tuition | For |
|---|---|---|---|---|---|
| 2027 · Semester 2 | Camperdown/Darlington Campus | — | — | $84,750per year | International students |
| 2027 · Semester 1 | Camperdown/Darlington Campus | — | — | — | International students |
Where it is taught
Camperdown/Darlington Campus
PrimaryNSW
References
Official course page, institution website and the sources behind this profile.
- Master of Digital Health and Data Sciencesydney.edu.au
- The University of Sydneysydney.edu.au
- CRICOS provider recordOfficial source
- Sydney Conservatorium Advanced Diploma of Opera handbookOfficial source
- University of Sydney Study Abroad inbound guideOfficial source
- University of Sydney per-course coredata and explorer JSONOfficial source
- International Admission Guide 2027Official source
- Coursework Policy 2021Official source
- University of Sydney Honours eligibilityOfficial source
- University of Sydney English language requirementsOfficial source
- University of Sydney preparation and direct-entry programsOfficial source
- University of Sydney international undergraduate academic requirementsOfficial source
- University of Sydney postgraduate research admissionOfficial source
- Taylors College Sydney entry requirementsOfficial source
- QS World University Rankings 2027Official source