Master of Science (Extension) in Health Data Science
A two-year advanced program combining clinical data analysis, policy impact, and hands-on research or industry placement in health data science.
Best for:Best for professionals with a background in health, data science, or related disciplines who want to specialise in extracting insights from health data for clinical, policy, or population health applications.
Overview
The Master of Science (Extension) in Health Data Science at UNSW Sydney is designed for professionals seeking to specialise in extracting meaningful insights from health data. This two-year program builds on foundational knowledge to enable graduates to address critical challenges in clinical care, health policy, and population health. Students engage in either a research dissertation or a work placement, applying advanced techniques to solve real-world health issues. The curriculum emphasises big data analysis, data-driven application development, and evidence-based decision-making. Ideal for those with a background in health, data science, or related fields, this program bridges theory and practice to prepare graduates for impactful roles in healthcare innovation.
What you'll do
- Conduct in-depth analysis of large-scale health datasets to identify trends and inform clinical or policy decisions.
- Develop data-driven applications or tools to support healthcare delivery and improve patient outcomes.
- Engage in a research dissertation or a work placement to apply theoretical knowledge to real-world health challenges.
- Collaborate with healthcare professionals, policymakers, and data scientists to translate data insights into actionable strategies.
- Utilise advanced analytical techniques and tools to process and interpret complex health data.
- Present findings and recommendations to stakeholders in a clear and impactful manner.
Requirements
Degree required: An undergraduate degree in a cognate discipline (e.g., health sciences, data science, computer science, or related fields) OR an undergraduate degree in a non-cognate discipline with honours-level completion OR successful completion of the Graduate Diploma in Health Data Science (or equivalent qualifications on a case-by-case basis).
Degree offered: Master of Science (Extension)
Language: English proficiency (standard university requirements apply).
Instruction: English
- Proficiency in data analysis tools and techniques (e.g., statistical software, programming languages like Python or R).
- Strong analytical and problem-solving skills applicable to health data.
- Ability to interpret complex datasets and derive meaningful insights.
- Experience with data management and handling large datasets.
- Basic understanding of healthcare systems and data-driven decision-making.
- No specific nationality or residency restrictions mentioned.
- Applicants must meet the academic requirements outlined for degree completion.
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: unknown
Applicants must submit an online application through the UNSW Sydney postgraduate portal. Required documents typically include academic transcripts, a personal statement, and proof of English proficiency. Additional materials may be requested based on eligibility criteria.
- Academic transcripts (undergraduate and any postgraduate degrees)
- Personal statement or research proposal (for dissertation track)
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Curriculum Vitae (CV)
- Letters of recommendation (if required)
Contact
UNSW Sydney Postgraduate Office· Admissions Contact
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