The role of a health data scientist is dynamic and always evolving as their work spans across any of the multiple stages of the health data pipeline. From designing and leading research studies and analysing data, through to building machine learning processes to understand complex health issues, a health data scientist’s work draws on a multiplicity of skills.

Because it’s a profession in its early development stages, new roles and opportunities in this sector are being created all the time. The health data scientist may, for example, manage a team of data analysts to work out processes to gather data, assess how to model the data or devise ways to implement health policy change based on the outcomes of their studies and findings.

• 2 years Post Study work visa for international students completing a Masters at Sydney campus.
• 3 years Post Study work visa for international students completing Masters at Canberra campus.
• 3 years for Masters by Research.

For entry into this degree, you must have one of the following:

• an undergraduate degree in a cognate discipline
• an undergraduate degree in a non-cognate discipline at honours level
• successful completion of the Graduate Diploma in Health Data Science (5372)
• qualifications equivalent to or higher than the Graduate Diploma in Health Data Science (5372) on a case-by-case basis.

Cognate disciplines

• medicine
• nursing
• dentistry
• physiotherapy
• optometry 
• biomedical/biological science
• pharmacy
• public health
• veterinary science
• biology
• biochemistry
• statistics
• mathematical sciences
• computer science 
• psychology
• (health) economics
• data science
• other (case-by-case basis)