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 Diploma in Health Data Science covers the second part of the HDS pipeline concerned with data analytics, machine learning and data mining, data modelling and communication including data visualisation. The program is designed to appeal to those new to the field, as well as those already working in the industry who are keen to develop their knowledge and skills. 

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:

  • successful completion of Graduate Certificate in Health Data Science 7372 program


  • qualifications equivalent to or higher than Graduate Certificate in Health Data Science 7372 program on a case-by-case basis

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)

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.

Credit (advance standing) is available for additional RPL beyond that acknowledged for program entry. Both formal and non-formal learning is considered. Recognition of formal learning is assessed for equivalence to an entire (HDAT) course on a case-by-case basis.

Credit granted for formal learning will yield specified credit for the equivalent 6 UoC course. Recognition of non-formal learning will result from micro-credentialing and awarding of Badges. Reduction in the total volume of learning due to advance standing is limited to a maximum of 12 UoC.

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.



2020 Indicative First Year Fee


2020 Indicative Fee to Complete Degree


*Fees are subject to annual review by the University and may increase annually, with the new fees effective from the start of each calendar year. The indicative fees listed here are based on an estimated average and are for tuition only other fees and charges are not included. The amount you pay will vary depending on the calendar year to enrol, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (8 courses per year).

Indicative fees are a guide for comparison only based on current conditions and available data. You should not rely on indicative fees. More information on fees can be found at the UNSW fees website.

Indicative fees to complete the program have been calculated based on a percentage increase for every year of the program. Fee increases are assessed annually and may exceed the indicative figures listed below.

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