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Course Overview
Eligibility
Cognate disciplines include:
English language requirements:
Career & Study Pathways
Health data science is a rapidly growing field, offering diverse and evolving career paths. As a health data scientist, you might lead research projects, design machine learning models, analyse complex datasets or influence health policy – often across multiple stages of the health data science pipeline. Data scientists earn a typical salary of $120k, with 11% job growth predicted over the next five years. Health information managers are in even higher demand, with the five-year job growth prediction at 26.5% (Seek, 2025).
You'll be equipped to work across a range of settings, including:
Potential roles include:
Quality & Recognition
Course Content
Context of Health Data Science
Core course covering the context and foundations of health data science.
Statistical Foundations for Health Data Science
Core course covering statistical foundations relevant to health data science.
Management and Curation of Health Data
Core course covering data quality, wrangling, data linkage, file management/storage and IT security.
Health Data Analytics: Machine Learning I
Core course covering machine learning methods applied to health data.
Health Data Analytics: Statistical Modelling I
Core course covering statistical modelling methods for health data analytics.
Health Data Analytics: Statistical Modelling II
Core course covering advanced statistical modelling for health data analytics.
Visualisation and Communication of Health Data
Core course covering collaborative coding, visualisation, and written and oral presentation of health data.
Principles of Programming
Elective course (one of two options to complete the 6 UOC elective requirement).
Computing for Health Data Science
Elective course (one of two options to complete the 6 UOC elective requirement).
Common Questions
To enter this program, you must have one of the following: an undergraduate degree in a cognate discipline (such as medicine, nursing, statistics, computer science, data science or public health, among others); an undergraduate degree in a non-cognate discipline at honours level; successful completion of the Graduate Certificate in Health Data Science (7372); or qualifications equivalent to or higher than the Graduate Certificate in Health Data Science (7372) on a case-by-case basis.
Yes, you can choose to study 100% online, or through a combination of face-to-face and online learning. You'll learn through interactive readings, expert guest lectures, hands-on tutorials and practical exercises that build your coding and analytical confidence.
The program can be completed in one year when studied full-time, or two years when studied part-time. It consists of seven core courses and one elective, totalling 48 units of credit (UOC).
For domestic students, the 2026 indicative first year full fee is $39,000, with the full fee to complete the degree also $39,000. Commonwealth Supported Places (CSPs) are available, with the 2026 indicative CSP first year fee at $9,500. For international students, the 2026 indicative first year fee is $51,500, with the indicative fee to complete the degree at $52,500. Fees are subject to annual review.
Yes. The Graduate Certificate and Graduate Diploma in Health Data Science provide an articulation pathway into the Master of Science in Health Data Science, allowing you to continue your studies at a higher level.
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
