Today, health data is measured in the trillions of gigabytes. It doubles every 75 days. Big data is a term used to describe data sets that are so large and complex, they can’t be managed or analysed using traditional methods.
In health, big data includes the:
millions of records generated routinely by health services
real-time clinical data captured at the point-of-care
genomic and imaging data produced in research and clinical settings
health-related data generated by the population at large through wearable devices and social media.
The Master of Science in Health Data Science will prepare you to find the right data, unlock hidden insights and use this information to better support clinical care, inform health policy and improve population health. This degree covers the entire pipeline from comprehension of complex health issues through to data wrangling and management, machine learning, data analytics, data modelling and data communication.
IELTS: 6.5 TOEFL: 90
Health Delivery Systems
Health Equity and Genes
File Management /Storage
Written and Oral Presentation
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 leve
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.
other (case-by-case basis)
Indicative First Year Fee
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 degree could lead to a career in:
government departments of health (national, state or local)
universities and research institutes
health insurance companies
private data analytics consultancies.