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    Graduate Certificate in Health Data Science
    Go to University of New South Wales
    University of New South Wales

    Graduate Certificate in Health Data Science

    University of New South Wales

    University of New South Wales

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    Australia, Sydney

    University RankQS Ranking
    19

    Key Facts

    Program Level

    Certificate

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    096227J

    Campuses

    Kensington

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesJuly-2025
    Apply to this program

    Go to the official application for the university

    Duration 7 month(s)
    Tuition Fee
    AUD 24,500  / year
    Next Intake July-2025

    Graduate Certificate in Health Data Science

    About

    Health Data Science (HDS) is the science and art of generating data-driven solutions through comprehension of complex real-world health problems, employing critical thinking and analytics to derive knowledge from big data. HDS is an emergent discipline, arising at the intersection of biostatistics, computer science, and health.

    The Graduate Certificate in Health Data Science covers the first part of the HDS pipeline concerned with comprehension of health context, statistical foundations, principles of programming, and data wrangling and management. Graduates can embark on further study in the Graduate Diploma or Master of Science in Health Data Science.

    Study the first postgraduate program 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 program 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
    • An undergraduate degree in a non-cognate discipline and minimum one year (full-time) relevant work experience
    • Minimum three years (full-time) relevant work experience

    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)

    Relevant experience is defined as:

    • Any (professional) position involving data acquisition, management or handling (e.g. database manager) or
    • Any (professional) position involving analytics (e.g. data analyst) and *tertiary-level training, demonstrating capability in a cognate discipline
    • Exhibits potential to pursue postgraduate (level 8) studies

    Evidence requirements will be a CV and an employer provided statement of service in relation to professional experience.

    Recognition of prior learning (RPL) is awarded in accordance with UNSW 'Recognition of Prior Learning (Coursework Programs) Policy' and 'Recognition of Prior Learning Procedure', for both program admission and credit.

    Criteria for RPL for admission is detailed in the program entry requirements.

    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 program 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.

    Fee Information

    Tuition Fee

    AUD 24,500 

    Application Fee

    AUD  
    University of New South Wales

    Graduate Certificate in Health Data Science

    University of New South Wales

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    Australia,

    Sydney

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