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 Health Data Science.

Program Code




Total units of credit (UOC)




Indicative Enrolments


*Not published - The number of students is less than five and is hidden to maintain privacy.

Why choose this degree?

With this program, you will be well positioned to enter an in-demand workforce, in both public and private health sectors.

Who should choose this degree?

This program is suited to industry professionals and health care graduates as well as those with degrees in mathematics, statistics and computer science.

Degree Structure

Degree Handbook

Career opportunities

  • Health data management
  • Health data analytics
  • Health research

Entry requirements

The program is designed for, and should appeal to, a broad local and international target student base. Student backgrounds will include healthcare (clinical, nursing and allied health), mathematics, statistics, and computer science.

The entry criteria are:

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 1 year full-time equivalent of relevant work experience or minimum 3 year full-time equivalent of relevant work experience Cognate discipline is defined as a degree in one of the following disciplines:

  • a science allied with medicine, including 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.

How to apply

Applications must be submitted through our Apply Online portal. We encourage you to submit your completed application as early as possible to ensure it will be processed in time for your preferred term. Some high-demand programs and Faculties with limited places may have an earlier application deadline or commencement date. Find out more.

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