Overview
About this course
You will gain the skills to develop, implement, evaluate, and manage data-driven technologies, and ultimately standout in a healthcare sector on the cusp of a major transformation through big data, machine learning, and computation.
Who is it for?
Our Graduate Certificate in Digital Health and Data Science is designed for professionals looking to expand their digital science expertise to health data, or expand their skills in data science to specialise in digital health.
Structure
What you’ll study
Our Graduate Certificate in Digital Health and Data Science is co-designed and co-taught by the School of Computer Science in the Faculty of Engineering, and Biomedical Informatics and Digital Health in the Faculty of Medicine and Health.
All units have been specifically developed to provide you with advanced data science skills in the context of healthcare.
You will complete:
- 2 x data science-related subjects
- 2 x digital health-related subjects
Recognising that the digital health workforce runs on the strength of multi-disciplinary teams, in this course you’ll learn from and work with engineers, computer specialists, data scientists, and health professionals on projects that come directly from industry and the healthcare sector.
Costs
Funding
Admissions
To be eligible for admission, an applicant is required to have:
- an Australian bachelor’s degree in a cognate discipline or other discipline that is deemed cognate by the program directors with a minimum 60 percent average or equivalent qualification, or
- an Australian bachelor’s degree with honours in a non-cognate discipline with at least a credit average (65 percent) or equivalent qualification.
A minimum result of 6.5 overall and a minimum result of 6.0 in each band
A minimum result of 85 overall including a minimum result of 17 in Reading, Listening and Speaking and 19 in Writing
A minimum result of 61 overall and a minimum result of 54 in each band