Master of Digital Health and Data Science
A specialised master’s programme blending data science with healthcare innovation for professionals seeking to drive transformation in digital health.
Best for:Best for professionals with a background in data science, health informatics, or related fields who want to specialise in digital health and leverage data-driven solutions for healthcare innovation.
Overview
The Master of Digital Health and Data Science at the University of Sydney equips graduates with advanced skills in developing, implementing, and managing data-driven technologies for healthcare. This programme is tailored for professionals aiming to expand their expertise in either health data or data science, preparing them for leadership roles in a rapidly evolving global healthcare sector. Students engage with cutting-edge tools like big data, machine learning, and computational methods to address real-world challenges. The curriculum balances theoretical foundations with practical applications, ensuring graduates are industry-ready. It attracts applicants from diverse backgrounds, including those with relevant work experience or prior academic qualifications in related fields.
What you'll do
- Develop and implement data-driven technologies for healthcare applications.
- Evaluate and manage digital health solutions to improve healthcare outcomes.
- Apply advanced data science techniques to solve complex healthcare challenges.
- Collaborate on interdisciplinary projects bridging data science and healthcare.
- Gain hands-on experience with big data, machine learning, and computational tools.
- Engage in research and innovation to advance digital health practices.
Requirements
Degree required: An honours bachelor’s degree from the University of Sydney in a cognate discipline with a credit average (65%) or equivalent qualifications, OR a bachelor’s degree in a cognate discipline with a credit average (65%) and at least two years of relevant work experience, OR completion of the Graduate Certificate in Digital Health and Data Science with a minimum credit average (65%).
Degree offered: Master of Digital Health and Data Science
Language: English proficiency (if applicable, though not explicitly stated in the source)
Instruction: English
- Proficiency in data analysis and statistical methods
- Basic understanding of healthcare systems and data
- Familiarity with programming languages (e.g., Python, R)
- Ability to work with large datasets and data management tools
- Australian or equivalent qualifications for admission
- Minimum credit average (65%) in relevant undergraduate studies
- Two years of relevant work experience (for non-honours degree holders)
- Completion of Graduate Certificate in Digital Health and Data Science (alternative eligibility)
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through the official University of Sydney portal. Required documents typically include academic transcripts, proof of English proficiency (if applicable), a personal statement, and any additional supporting materials as specified by the university. Detailed application instructions are available on the programme’s official webpage.
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- Personal statement or statement of purpose
- Curriculum Vitae (CV)
- Proof of relevant work experience (if applicable)
- Graduate Certificate transcripts (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.