Address
Monash University
Clayton Campus
Wellington Road
Melbourne Victoria 3800
Australia
Clayton Campus
Wellington Road
Melbourne Victoria 3800
Australia
Course details
CRICOS course code: 106844H
Level of study: Masters Degrees
Summary
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.
This full-time course is only offered on-campus in the below location:
On-campus at Alfred Hospital
Note:
This course will involve a blend of online and in-person learning, that will take place at the Alfred Precinct and the Clayton Campus.
Click here for more details on this course.
| Tuition Fees (AUD $) | Start date | Duration | Campus |
|---|---|---|---|
| 46,900 Per Year | Feb 2024 |
2 years
Read more2 years (full time) Blended study |
Monash University Clayton Campus Wellington Road Melbourne Victoria 3800 Australia |
Entry criteria
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 entry 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 50
TOEFL Internet-based test: 79 Overall score, with minimum scores: Reading 13, Listening 12, Speaking 18 and Writing 21