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    Master of Science in Health Data Science (Extension)
    Go to University of New South Wales
    University of New South Wales

    Master of Science in Health Data Science (Extension)

    University of New South Wales

    University of New South Wales

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    Australia, Sydney

    University RankQS Ranking
    19

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    110655A

    Credit point

    96 Points

    Campuses

    Kensington

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesJuly-2025
    Apply to this program

    Go to the official application for the university

    Duration 2 year(s)
    Tuition Fee
    AUD 49,000  / year
    Next Intake July-2025

    Master of Science in Health Data Science (Extension)

    About

    The Master of Science in Health Data Science will prepare you to find the right data, unlock hidden insights and use this information to better support clinical care, inform health policy and improve population health.

    The two-year Master of Science in Health Data Science (Extension) builds upon this, offering an opportunity to dive deeper into different aspects and applications of Health Data Science through a research dissertation or a work placement. This research can involve analysing big data to solve health issues or involve the development of health-related data driven application. You’ll be perfectly positioned to pursue a PhD in Health Data Science to further advance your career.

    Study the first postgraduate degree in health data science
    Our master’s degree, graduate diploma and graduate certificate in health data science are pioneering programs that examine data-driven solutions to complex health problems. At UNSW, we’re leading this new approach to healthcare.

    Learn within a world-leading research and teaching institute
    This degree is delivered by the Centre for Big Data Research in Health (CBDRH) – the leading Australian and international hub for health research using big data. The CBDRH brings together an interdisciplinary team of staff, who have world-leading expertise in managing, manipulating, analysing and visualising health big data. Using large-scale electronic data than spans the biomedical, clinical and health services domains, the CBDRH is transforming knowledge from data into practical applications within health.

    Connect with staff and students in a dynamic learning environment
    In some courses, a flipped classroom approach is used, where you’ll learn theory from short online videos and use face-to-face or online sessions to apply knowledge, practice skills and engage in peer-to-peer learning. A major feature of our student-centric learning experience is the online community, where you can interact with your peers and instructors from diverse backgrounds and workplaces.

    Requirements

    Entry Requirements

    For entry into this degree, you must have one of the following:

    • an undergraduate degree in a cognate discipline
    • an undergraduate degree in a non-cognate discipline at honours level
    • successful completion of the Graduate Diploma in Health Data Science (5372)
    • qualifications equivalent to or higher than the Graduate Diploma in Health Data Science (5372) on a case-by-case basis.

    Cognate disciplines

    • medicine
    • nursing
    • dentistry
    • physiotherapy
    • optometry
    • biomedical/biological science
    • pharmacy
    • public health
    • veterinary science
    • biology
    • biochemistry
    • statistics
    • mathematical sciences
    • computer science
    • psychology
    • (health) economics
    • data science
    • other (case-by-case basis)

    English Program Requirements

    Faculty Undergraduate Postgraduate coursework Postgraduate research
    Medicine & Health

    6.5 overall (min. 6.0 in each subtest)

     

    Exceptions:

    • Bachelor of Nutrition/Master of Dietetics & Food Innovation: 7.0 overall (min 7.0 in each subtest)

    The following programs require 7.0 overall (min 6.0 in each subtest)

    • Bachelor of Medical Studies (BMed)/Doctor of Medicine (MD) including double degree
    • Bachelor of Exercise Science/Master of Physiotherapy & Exercise Physiology
    • Bachelor of Pharmaceutical Medicine/Master of Pharmacy
    • Bachelor of Applied Exercise Science/Master of Clinical Exercise Physiology

    6.5 overall (min. 6.0 in each subtest)

     

    Exceptions:

    • Graduate Certificate in Myopia Management:7.0 overall (min 6.0 in each subtest)

    6.5 overall (min 6.0 in each subtest)

    Career

    Future careers

    The role of a health data scientist is dynamic and always evolving as their work spans across any of the multiple stages of the health data pipeline. From designing and leading research studies and analysing data, through to building machine learning processes to understand complex health issues, a health data scientist’s work draws on a multiplicity of skills.

    Because it’s a profession in its early development stages, new roles and opportunities in this sector are being created all the time. The health data scientist may, for example, manage a team of data analysts to work out processes to gather data, assess how to model the data or devise ways to implement health policy change based on the outcomes of their studies and findings.

    There is growing demand within the public and private health sector, both in Australia and globally, for professionals with specialised interdisciplinary skills in health data science. This degree could lead to a career in:

    • government departments of health (national, state or local)
    • hospitals
    • universities and research institutes
    • pharmaceutical companies
    • health insurance companies 
    • private data analytics consultancies.

    High-achieving students will also be well suited to further academic study, particularly at PhD level.

    Our alumni

    "We learnt industry-leading coding practices such as GitHub and Version Control and had regular assignments, which were useful as they were in a health context.”

    Phillip Hungerford

    Analytics Consultant

    Fee Information

    Tuition Fee

    AUD 49,000 

    Application Fee

    AUD  
    University of New South Wales

    Master of Science in Health Data Science (Extension)

    University of New South Wales

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    Australia,

    Sydney

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