Master of Health Data Analytics

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 you to focus your studies by choosing a stream in biostatistics, machine learning or a combination of both.

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