Course Level

Master Degree (By Coursework)

CRICOS

106844H

Master of Health Data Analytics

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.

Campus
Duration
Fees
ATAR

Alfred

Full-time - 2 years

$69,400
N/A

Structure

Total 96 Credit Points

Entry requirements

  • An Australian bachelor degree (or equivalent) with a Weighted Average Mark (WAM) of at least 60%.

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