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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 (bio)statistics, computer science, and health. The Graduate Diploma 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.

Graduate Certificate in Health Data Science graduates will be well suited to an identified area of workforce demand, in both public and private health sectors. High-achieving graduates will have potential for consideration of further study in MSc in Health Data Science (9372). The program is designed to appeal to both those new to Health Data Science and those already working in the field looking to upskill. The Graduate Diploma is appropriate for both an Australian and international audience. Potential students from any undergraduate background and/ or who possess relevant work experience will be considered for admission.

The program can be completed in 12 months full-time or part-time over 3 years. The 48 unit of credit coursework program is fully articulated, with options for further study at MSc level (further 24 UoC).



Study Level


Typical duration

1 Years

Delivery Mode

Face-to-face, Fully online

Intake Period

Term 1, Term 3

Academic Calendar

3+ Calendar

Minimum Units of Credit


Award type

Graduate Diploma


Graduate Diploma in Health Data Science - GradDipHDS



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Entry Requirements
Recognition of Prior Learning
Progression Requirements


Program Fees

At UNSW fees are generally charged at course level and therefore dependent upon individual enrolment and other factors such as student's residency status. For generic information on fees and additional expenses of UNSW programs, click on one of the following:

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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