Health Data Analytics - M6036
Master's degree
The Master of Health Data Analytics is designed for professionals who want to apply advanced analytical, statistical and computational methods to transform health systems and drive evidence‑based decision making. With the rise of AI and as health datasets grow in scale and complexity, the demand for specialists who can analyse, interpret and translate data into actionable insights and who can effectively apply these tools in real-world health data, has never been greater.
Study your way
In this program, you’ll learn how to harness health data to address real-world challenges, such as evaluating the effectiveness of new treatments, building predictive models for patient outcomes, and developing algorithms for diagnostic imaging and clinical decision support. You’ll gain advanced skills in data handling, statistical analytics, machine learning, programming, and the biomedical foundations required to contextualise complex health problems and develop robust analytic solutions. You’ll learn how to evaluate AI tools to use with health data in an effective and responsible way.
Flexible learning options
The Master of Health Data Analytics is delivered through a flexible blend of online and on‑campus learning, with teaching conducted across our Clayton and Caulfield campuses and The Alfred Campus. This format supports working professionals, clinicians and analysts seeking to upskill without pausing their career.
Choose your specialisation
When studying this course, you’ll choose a specialisation from Biostatistics, Machine Learning or General Stream. As part of the degree, you will also have the opportunity to complete a research project supervised by analytics experts. This may involve being embedded into a large ongoing research project, or a specially created individual project.
Why Study Health Sciences at Monash?
Interdisciplinary Learning
In partnership with the Faculty of Information Technology and the Monash Business School, our course stands out among other Australian programs. This cross-disciplinary course provides knowledge and skills that’ll help you apply quantitative skills to some of healthcare’s biggest challenges. The course covers data science, business analytics, biostatistics, public health, and prioritises health analytics.
Learn from Monash experts
Your lecturers are leading professionals and researchers from Monash’s School of Public Health and Preventive Medicine, Faculty of Information Technology, and Faculty of Business and Economics. This cross‑faculty expertise ensures your learning is grounded in cutting‑edge analytic methods, real‑world datasets, and current health system priorities.
At a glance
Course Details
Location |
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| Note: | This course requires study at multiple campuses. Please check the handbook entry of the individual units for details of location and teaching activities. |
Duration |
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Start date |
First Semester (February) |
Qualification |
Master of Health Data Analytics |
Career Outcomes
With the rapid expansion of digital health, automation and integrated health information systems, graduates of the Master of Health Data Analytics are in high demand. You’ll be prepared to contribute to high‑impact projects such as:
- Developing AI‑enabled diagnostic algorithms in radiology and pathology
- Predictive modelling for Medicare and private insurance utilisation
- Building risk‑stratification tools for hospitals and health services
- Evaluating large‑scale health interventions and public health programs
- Designing analytics pipelines for digital health platforms
Graduates may pursue roles across:
- Private industry (consulting, digital health, pharmaceuticals, biotech)
- Government health departments
- Hospitals and health services
- Health insurers and analytics firms
- Research institutes and universities
The degree also provides an excellent foundation for further research training, including progression to a PhD in analytics, biostatistics, data science or public health.
Pursue a career in health data analytics
With a massive spike in demand for health data analysts, there's never been a better time to consider a career in health data analytics.
Find out more
Watch our webinar
Are you interested in upskilling in your career health career? Explore our Master of Health Management and Master of Health Data Analytics to see how these graduate degrees can take your career to the next level.
Entry Requirements
You need to satisfy the following entrance requirements to be considered for entry to this course.
Minimum Entry Requirements (Domestic students)
Qualifications
An Australian bachelor degree (or equivalent) with a Weighted Average Mark (WAM) of at least 60%.
English requirements
Level A
| IELTS (Academic): 6.5 Overall score, with minimum band scores: Listening 6.0, Reading 6.0, Writing 6.0 and Speaking 6.0 | or | Pearson Test of English (Academic): 58 Overall score, with minimum scores: Listening 50, Reading 50, Speaking 50 and Writing 50 | or | TOEFL iBT: 0 - 120 scale: 1 - 6 scale: | or |
Courses that require English Level A only: Other approved English tests (minimum entry scores apply) Courses with English Level B, C, D, E and F: Other approved English tests (higher entry scores apply than specified) |
University entrance requirements
Minimum entrance requirements for admission to Monash University Australia.
The course structure and progression map can be viewed in the Handbook.
Making the application
Future students
Current Monash students
You may apply to transfer from another Monash course. Transfers are a competitive process. You may apply mid-year for available courses however consideration will be given as to whether you will be able to follow your course progression.
Please note that if you apply for a course transfer, you should still enrol in your current course as if you were continuing so as not to jeopardise your enrolment in the Faculty if your transfer application is unsuccessful. More about Course Transfer.
Self assess for credit eligibility
Check for study credit using the "Credit search" link on the Credit for prior study page.
Fees
Fees are subject to change annually.
Full fee
Fees are per 48 credit points which represents a standard full-time course load for a year. The fees for 2026 are:
A$35,100
Fee assistance
As a full fee-paying student, you may be eligible to apply for the optional FEE-HELP to assist you to pay all or part of your tuition fees.
Scholarships
We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.
Other costs and fees
For information on other study costs and fees, see other study costs.