The program is designed for, and should appeal to, a broad local and international target student base. Student backgrounds will include healthcare (clinical, nursing and allied health), mathematics, statistics, and computer science.
The entry criteria are:
- successful completion of Graduate Certificate in Health Data Science 7372 program
- qualifications equivalent to or higher than Graduate Certificate in Health Data Science 7372 program on a case-by-case basis
Cognate discipline is defined as a degree in one of the following disciplines
- a science allied with medicine, including:
- biomedical/ biological science
- public health
- veterinary science
- mathematical sciences
- computer science
- data science
- other (case-by-case basis)
Recognition of prior learning (RPL) is awarded in accordance with UNSW 'Recognition of Prior Learning (Coursework Programs) Policy' and 'Recognition of Prior Learning Procedure', for both program admission and credit.
Criteria for RPL for admission is detailed in the program entry requirements.
Credit (advance standing) is available for additional RPL beyond that acknowledged for program entry. Both formal and non-formal learning is considered. Recognition of formal learning is assessed for equivalence to an entire (HDAT) course on a case-by-case basis.
Credit granted for formal learning will yield specified credit for the equivalent 6 UoC course. Recognition of non-formal learning will result from micro-credentialing and awarding of Badges. Reduction in the total volume of learning due to advance standing is limited to a maximum of 12 UoC.