Graduate Certificate in Health Data

at University of New South Wales

From the context of health and data curation through to analytics, computation and communication, this program will guide you through the entire health data science pipeline. 

Admission pathways

UNSW Global has university pathway programs that provide seamless transition to UNSW Sydney so you can achieve your academic and career goals. Learn more.

English language requirements

You may be asked to provide evidence of your English proficiency to study at UNSW depending on your educational background and citizenship. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why UNSW requires a minimum English language competency for enrolment.

If English is not your first language, you’ll need to provide proof of your English proficiency before you can be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria:

• English language tests and university English courses
• Prior study in the medium of English
• Other qualifications

2022 Indicative First Year Fee
$21,540

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.

There is growing demand within the public and private health sector, both in Australia and globally, for professionals with specialised interdisciplinary skills in health data science. This program could lead to a career in:

• government departments of health (national, state or local)
• hospitals
• universities and research institutes
• pharmaceutical companies
• health insurance companies 
• private data analytics consultancies.