Academic Item Menu


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 MSc Health Data Science covers the entire pipeline from comprehension of complex health issues, through data wrangling and management, machine learning and data mining, data analytics, data modelling, and communication including data visualisation.

MSc 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 PhD enrollment. 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 MSc 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 via the Graduate Certificate.

The program can be completed in 18 months full-time or part-time equivalent. The 72 unit of credit broadening Master of Science (MSc) in Health Data Science by coursework program is fully articulated, including options for Graduate Certificate (24 UOC), Graduate Diploma (48 UOC), and MSc. The MSc offers a choice between a 24 UoC workplace/ internship research dissertation or a 6 UOC capstone project plus 18 UOC electives (from a selection of over 20 courses).



Study Level


Typical duration

1.7 Years

Delivery Mode

Face-to-face, Fully online

Intake Period

Term 1, Term 3

Academic Calendar

3+ Calendar

Minimum Units of Credit


Award type

Masters (Coursework)


Master of Science - MSc



Expand Learning Outcomes accordion 1 Collapse Learning Outcomes accordion 1
Expand Learning Outcomes accordion 2 Collapse Learning Outcomes accordion 2
Expand Learning Outcomes accordion 3 Collapse Learning Outcomes accordion 3
Expand Learning Outcomes accordion 4 Collapse Learning Outcomes accordion 4
Expand Learning Outcomes accordion 5 Collapse Learning Outcomes accordion 5

Program Structure

Students must complete 72 UOC as a standalone program.

1. Compulsory courses - 48 UOC
2. Prescribed elective courses - 24 UOC

Expand All Collapse All

Prescribed Electives

Prescribed Electives description.

Students can take up to a maximum of 18 UOC of the following courses.
Note: Elective offerings can be grouped into the following themes, Bioinformatics, Health Informatics,Algorithms, Data Management,Web, Statistical Theory, Statistical Analytics,Pharmaceutical. Students may choose electives within the same theme or any combination of theme (with approval of Program Convenor).

Entry Requirements
Recognition of Prior Learning
Progression Requirements


Recognition of Achievement

Award with Excellence

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)

Helpful utilities like sharing or printing this page
Share Link via Email
Download PDF