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The Master of Health Data Analytics program addresses the growing need for skilled data analysts who can solve practical healthcare challenges. These include assessing new treatment efficacy, creating advanced patient outcome models, and designing diagnostic imaging classification algorithms. You'll gain expertise to participate in every stage of health data projects - from identifying healthcare issues and devising solutions to applying state-of-the-art analysis techniques and presenting findings to decision-makers. Professionals with these capabilities are sought after globally across academic institutions, government agencies, and private sector organizations. This multidisciplinary program offers specialization options in biostatistics, machine learning, or a blend of both disciplines.
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