Health Data Analytics - M6036

Health Data Analytics

Master degree

A proficient health data analyst requires more than a set of powerful computing tools – they must have a broad understanding of health systems, health data sources, human body systems and epidemiological principles married with core data analytics skills in mathematics, programming, biostatistical theory and modelling, data visualisation and machine learning.

The Master of Health Data Analytics is designed to meet the high demand for data analysts to tackle real-world health questions, such as quantifying the effectiveness of new treatments, implementing sophisticated modelling of patient outcomes and pathways, and developing algorithms for diagnostic imaging classification.

The course will enable you to develop these skills and equips you to contribute along the full length of a health data project, from conceptualisation of the health problem, to determining an avenue for solution, implementation of cutting-edge analytical solutions, and communication of the results to stakeholders.

Graduates with such skills are in increasingly high demand in academia, government and industry worldwide. This interdisciplinary course allows students to choose a specialisation in biostatistics, machine learning or a combination of both.

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At a glance

Course Details

  • On-campus at Alfred Hospital: Full time & part time

This course will involve a blend of online and in-person learning, that will take place at the Alfred Precinct and the Clayton Campus.

  • 2 years (full time)
  • 4 years (part time)
Start date
First Semester (February)
Master of Health Data Analytics
Course Handbook

Entry Requirements

You need to satisfy the following entrance requirements to be considered for entry to this course.

Equivalent Australian Year 12

Minimum Entry Requirements (Domestic students)


An Australian bachelor degree (or equivalent) in a non-cognate discipline with at least a Weighted Average Mark (WAM) of 60% or an equivalent GPA or qualification and experience approved by the faculty.

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 Pearson Test of English (Academic): 58 Overall score, with minimum scores: Listening 50, Reading 50, Speaking 50 and Writing 50TOEFL Internet-based test: 79 Overall score, with minimum scores: Reading 13, Listening 12, Speaking 18 and Writing 21 Equivalent approved English test

University entrance requirements

Minimum entrance requirements for admission to Monash University Australia.

The course is structured into three parts: Part A. Advanced expertise, Part B. Applied Health Data Analytics, and Part C. Health Data Analytics specialisation.

Part A. Advanced Expertise

In these studies you will gain knowledge and skills in the foundation units across health data and systems,  programming, machine learning algorithms, biostatistics, data wrangling and epidemiology.

Part B. Applied Health Data Analytics

In these studies you will gain expertise and competence in key aspects of health data analytics, including professional practice.

Part C. Health Data Analytics specialisation

You will be able to specialise in either biostatistics, machine learning, or complete a general stream in health data analytics.

Course progression map

The course progression map will provide guidance on unit enrolment for each semester of study.

Making the application

Future students

Semester one (February)

Apply directly to Monash using course code M6036.


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 are subject to change annually.

Full fee

Fees are per 48 credit points which represents a standard full-time course load for a year.


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.


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.