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Course Overview
Eligibility
Cognate disciplines include:
Relevant experience is defined as:
Evidence requirements:
English language requirements:
Career & Study Pathways
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. This program could lead to a career in:
Quality & Recognition
Common Questions
For domestic students, the 2026 indicative full fee to complete the degree is $19,500. Commonwealth Supported Places (CSPs) are also available, with a 2026 indicative CSP fee to complete the degree of $5,000. For international students, the 2026 indicative full fee to complete the degree is $26,500. All fees are subject to annual review and may vary.
Yes, this program can be completed full-time or part-time, and is available on-campus at Kensington or fully online. Content is delivered through a combination of online readings, expert guest lectures, and practical hands-on tutorials.
The program is suited to a wide range of backgrounds, including statisticians who want to build on current skills, clinicians or nurses who want to improve patient care quality, and programmers looking to formalise their on-the-job experience. Cognate disciplines include medicine, nursing, biomedical/biological science, statistics, computer science, data science, and more.
Yes, graduates of the Graduate Certificate in Health Data Science can embark on further study in the Graduate Diploma or Master of Science in Health Data Science at UNSW, allowing progression through the full health data science program suite.
This program is delivered by the Centre for Big Data Research in Health (CBDRH), described as the leading Australian and international hub for health research using big data. The CBDRH brings together an interdisciplinary team with world-leading expertise in managing, manipulating, analysing, and visualising health big data across biomedical, clinical, and health services domains.
Application
Three simple steps to get enrolled
Step 01
Enquire
Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.
Step 02
Submit Documents
Our team will guide you on exactly which documents to prepare and submit.
Step 03
Get Enrolled
Receive your offer letter and confirm your enrolment. Welcome to the course!
Processing time: Offer letter issued within approximately 1 business days.
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India
Master of Nursing · Griffith University