Master of Science in Health Data Science
- Commencing Terms
- Term 1 & 3
- Duration
- 1.7 Year(s)
- Delivery Mode
- Face-to-face (includes blended), Online
- Campus
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Kensington
- Codes
- Program code 9372
- CRICOS code 096225M
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Commonwealth Supported Places are available for this program2025 Indicative CSP first year fee
- $9,500*
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2025 Indicative CSP fee to complete degree
- $14,500*
-
2025 Indicative first year full fee
- $49,000*
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2025 Indicative full fee to complete degree
- $77,000*
Entry Requirements
Fees
Fees
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In-demand field
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Industry relevant
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Research centre
ºÚÁÏÍø´óÊÂ¼Ç is introducing a new academic calendar from 2028.
What does this mean for my studies? ºÚÁÏÍø´óÊÂ¼Ç is moving to a new ‘flex-semester’ calendar.
- Overview
- Entry requirements
- What will I study?
- Future careers
- How to apply
- Fees & Scholarships
Overview
Expand your health career prospects with Australasia’s first dedicated Health Data Science master’s program in a rapidly evolving field. Designed for professionals who want to lead innovation in healthcare, this postgraduate program builds on the foundations of our Graduate Certificate and Graduate Diploma of Health Data Science, offering deeper expertise and greater career mobility.
You’ll explore the full data science pipeline, with subjects in data wrangling, machine learning, data mining, analytics, statistical modelling and effective communication. Through a mix of online and in-person learning, expert-led tutorials and real-world case studies, you’ll build the skills to translate complex data into meaningful health insights.
Graduates are equipped for leadership roles in government health departments, hospitals, research centres, consulting firms and digital health startups. This program gives you the technical depth, interdisciplinary knowledge and practical experience to shape the future of healthcare.
Key features
Designed for real-world impactÌý
This health data science master’s program addresses a global need for health data scientists who can apply technical skills in real healthcare settings. You’ll work on authentic case studies, apply advanced analytical methods, and gain practical experience solving complex health challenges.
Open to diverse professional backgroundsÌý
Whether you're a data analyst aiming to specialise, a clinician looking to improve patient outcomes through data, or a programmer ready to formalise your skills, this program welcomes students from a broad range of disciplines. It’s ideal for both early-career professionals and experienced practitioners looking to advance.
Flexible, career-friendly deliveryÌý
Study 100% online, or through a combination of face-to-face and online learning. You’ll learn by building technical proficiency and confidence through guided, hands-on projects.
Why study at ºÚÁÏÍø´óʼÇ?
A trailblazer in health data education
Our health data science master’s degree, graduate diploma and graduate certificate are pioneering programs that examine data-driven solutions to complex health problems. ºÚÁÏÍø´óʼÇ's Medicine & Health faculty is ranked #54 globally for life sciences and medicine (QS World University Rankings by Subject, 2025) and is leading this new approach to healthcare.
Learn from leaders in health data science
This program is delivered by the Centre for Big Data Research in Health (CBDRH), Australia’s leading institute for health big data. You’ll gain insights from experts with global experience in data science, epidemiology and informatics, working on projects that span biomedical, clinical and population health domains.
Join a connected and collaborative community
At ºÚÁÏÍø´óʼÇ, you’ll experience a dynamic and student-centred approach to learning. In some courses, you’ll explore concepts through short online videos, then apply them in workshops or live sessions. Our strong online community means you’ll collaborate with peers and instructors from diverse workplaces and disciplines.
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Want to see more from ºÚÁÏÍø´óÊÂ¼Ç Medicine and Health?
Entry requirements
For entry into this degree, you must have one of the following:
- an undergraduate degree in a cognate discipline
- an undergraduate degree in a non-cognate discipline at honours level
- successful completion of the Graduate Diploma in Health Data Science (5372)
- qualifications equivalent to or higher than the Graduate Diploma in Health Data Science (5372) on a case-by-case basis.
Cognate disciplines
- medicine
- nursing
- dentistry
- physiotherapy
- optometryÌý
- biomedical/biological science
- pharmacy
- public health
- veterinary science
- biology
- biochemistry
- statistics
- mathematical sciences
- computer scienceÌý
- psychology
- (health) economics
- data science
- other (case-by-case basis)
English language requirements
Ìý
You may be asked to provide evidence of your English proficiency to study at ºÚÁÏÍø´óÊÂ¼Ç depending on your educational background and citizenship. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why ºÚÁÏÍø´óÊÂ¼Ç requires a minimum English language competency for enrolment.
If you’re completing an Australian Year 12 qualification (e.g. NSW HSC or equivalent), you do not need to provide anything extra to prove your proficiency. Your qualification will be used as evidence of your English proficiency.
If you do need to provide evidence of your English proficiency, this will be indicated in your application. You can prove this by providing evidence that you meet one or more of the following criteria:
- English language tests and university English courses
- Prior study in the medium of English
- Other qualifications
If you need to improve your English skills before you start your degree, are for you. The programs are suitable for various English levels and help you prepare for university studies and life in Australia.
For more details, visit the English Language Requirements page.Ìý
For entry into this degree, you must have one of the following:
- an undergraduate degree in a cognate discipline
- an undergraduate degree in a non-cognate discipline at honours level
- successful completion of the Graduate Diploma in Health Data Science (5372)
- qualifications equivalent to or higher than the Graduate Diploma in Health Data Science (5372) on a case-by-case basis.
Cognate disciplines
- medicine
- nursing
- dentistry
- physiotherapy
- optometryÌý
- biomedical/biological science
- pharmacy
- public health
- veterinary science
- biology
- biochemistry
- statistics
- mathematical sciences
- computer scienceÌý
- psychology
- (health) economics
- data science
- other (case-by-case basis)
English language requirements
You may be asked to provide evidence of your English proficiency to study at ºÚÁÏÍø´óÊÂ¼Ç depending on whether you are from an English-speaking background or non-English speaking background. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why ºÚÁÏÍø´óÊÂ¼Ç requires a minimum English language competency for enrolment.
If English is not your first language, you’ll need to provide proof of your English proficiency before you can be given an offer to study at ºÚÁÏÍø´óʼÇ. You can do this by providing evidence that you meet one or more of the following criteria:
- English language tests and university English courses
- Prior study in the medium of English
- Other qualifications
If you need to improve your English skills before you start your degree, are for you. The programs are suitable for various English levels and help you prepare for university studies and life in Australia.
For more details, visit theÌýEnglish Language RequirementsÌýpage.Ìý
Check the specific English language requirements for this program
What will I study?
Program structure
The Master of Science in Health Data Science is a 1.7-year, full-time postgraduate degree (with the option to study part-time over a longer period). The program consists of core courses, research courses and prescribed electives, totalling 72 units of credit (UOC).Ìý
As with many of our postgraduate programs, we offer a combination of face-to-face and online learning to help working professionals manage their studies around existing commitments. You’ll have the opportunity to work alongside fellow students, contributing to discussions and shared learning activities. You’ll also have direct access to experienced practitioners and academics who will provide industry-relevant, up-to-date expertise on the field of health data science.Ìý
Your research course component will allow you to explore a field of interest, comprising a minimum of 6 and up to 18 UOC. All research course options include a dissertation or capstone project.
Full program structure
The Master of Science in Health Data Science contains a total of 72 units of credit (UOC). This postgraduate qualification can be completed in 1.7 years when studied full-time. Students must complete:
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- Context of Health Data Science
- Statistical Foundations for Health Data Science
- Management and Curation of Health Data
- Health Data Analytics: Machine Learning I
- Health Data Analytics: Statistical Modelling I
- Health Data Analytics: Statistical Modelling II
- Visualisation and Communication of Health Data
Plus, one of the following:
- Principles of Programming
- Computing for Health Data Science
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- Health Data Science: Dissertation – 6 UOCÌý
- Health Data Science: Dissertation – 12 UOCÌý
- Health Data Science: Dissertation – 18 UOCÌý
- Health Data Science: Capstone – 6 UOCÌý
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- Applied BioinformaticsÌý
- Computational BioinformaticsÌý
- Biomedical and Health InformaticsÌý
- Advanced AlgorithmsÌý
- Information Retrieval and Web SearchÌý
- Data Structures and AlgorithmsÌý
- Algorithm Design and AnalysisÌý
- Database SystemsÌý
- Big Data ManagementÌý
- Web Data Compression and SearchÌý
- Clinical Artificial IntelligenceÌý
- Health Data Analytics: Machine Learning IIÌý
- OptimizationÌý
- Graph TheoryÌý
- Time SeriesÌý
- Longitudinal Data AnalysisÌý
- Statistical InferenceÌý
- Categorical Data AnalysisÌý
- Bayesian Inference and ComputationÌý
- Health Technology AssessmentÌý
- PharmacovigilanceÌý
- Applied Research Methods for Public HealthÌý
- Epidemiological MethodsÌý
- Evidence-informed Decision-makingÌý
- Predictive Modelling in Public HealthÌý
- Implementation ScienceÌý
Articulation
The Graduate Certificate and Graduate Diploma in Health Data Science provide an articulation pathway into the Master of Science in Health Data Science.ÌýÌý
Health Data Science Pipeline
At ºÚÁÏÍø´óʼÇ, we teach the health data science pipeline, a step-by-step approach that covers everything from understanding the problem to clearly communicating results. Here's what you’ll learn throughout your studies:
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- Health Delivery Systems
- Data Sources
- Evidence-Based Medicine
- Health Outcomes
- Health Equity and GenesÌý
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- Data Quality
- Wrangling
- Data Linkage
- File Management /Storage
- IT Security
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- Pattern Analysis
- Pre-Processing
- Outlier Detection
- Prediction
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- Algorithms
- Models
- Decision Making
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- Collaborative Coding
- Visualisation
- Written and Oral Presentation
Future careers
The Master of Science in Health Data Science positions you for senior and strategic roles in one of the world’s fastest-growing fields. As data becomes central to healthcare decision-making, organisations need leaders who can manage complex datasets, build predictive models and apply insights to clinical care, health policy and systems planning.
Chief information officers earn a typical salary of $225k, with 17% job growth predicted over the next five years. Policy managers earn around $140k, depending on their area of expertise, while data scientists earn roughly $120k per year (Seek, 2025).
With a master’s degree in health data science, you’ll have the expertise to lead interdisciplinary teams, design and implement large-scale data projects, and contribute to evidence-based decision-making in government, research and private industry. Whether your path leads to executive leadership, applied research or innovation in digital health, this program provides the foundation to make a lasting impact.
Potential roles
- Chief data officer or chief information officer (CIO)
- Clinical informatics lead
- Director of health analytics
- Policy director or health strategy advisor
- Research fellow or academic
- Senior data scientist or consultant
How to apply
Applications must be submitted through ourÌýÌýportal. 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.Ìý.
Ready to start your application?
For most international students, applications are submitted viaÌýour  service. 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 with limited places, may have an earlier application deadline or may have an earlier commencementÌýdate. ForÌýmore information visitÌýour .
Ready to start your application?
Fees & Scholarships
$9,500*
$14,500*
There are limited Commonwealth Supported Places (CSPs) available for this degree. Domestic students who receive a CSP will have a substantial proportion of their fees subsidised by the Australian government. Your eligibility to receive a CSP will be automatically assessed when you apply. Start your postgraduate application today with our guide onÌýhow to apply. 
Commonwealth Study Assistance such as Austudy, and Youth Allowance is available for some master’s degrees. For the most up-to-date information and list of degrees visitÌýºÚÁÏÍø´óÊÂ¼Ç Current Student Financial Support.
There are a limited number of Commonwealth Supported Places (CSP) available for this degree/program. Your eligibility to receive a CSP will be automatically assessed when you apply. ÌýTo find out more about Commonwealth Supported Places visit Postgraduate Commonwealth Support.
*Fees are subject to annual review (or when required) by the University and may vary accordingly.
Indicative fees are a guide only and have been calculated based on the typical enrolment patterns of students undertaking the degree/program. The indicative fees listed here is an estimate for tuition only and excludes non-tuition fees and charges. The amount you pay will vary depending on the calendar year of enrolment, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (48 units of credit (UOC) per year)
You should not rely on indicative fees as fee increases are assessed when required and may exceed the indicative figures listed here. Actual fees are calculated on enrolment. More information on fees can be found at the .
*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 theÌý.
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 here.
Indicative fees to complete the program include tuition plus an estimate of study-related costs of approximately $1,000 per year. To find out more about other costs, visitÌý.
Scholarships
At ºÚÁÏÍø´óʼÇ, we award over $83 million in scholarships each year. We pride ourselves on rewarding excellence and making university accessible to students from all walks of life. Whether you’re a domestic or international student, our range of scholarships, prizes and awards can support your journey.
QS World University Rankings, 2025
AFR Top100 Future Leaders Awards, 2020-2025
Crunchbase venture capital start-up data, 2021
I was able to improve my skills in data science and apply the knowledge to health-related areas.
