Handbook

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:

• an undergraduate degree in a cognate discipline
• an undergraduate degree in a non-cognate discipline at honours level
• an undergraduate degree in a non-cognate discipline and minimum 1 year full-time equivalent of relevant work experience
• or
• minimum 3 year full-time equivalent of relevant work experience

Cognate discipline is defined as a degree in one of the following disciplines:
- a science allied with medicine, including
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)

Relevant experience is defined as:

• any (professional) position involving data acquisition, management or handling (e.g. database manager)

or

• any (professional) position involving analytics (e.g. data analyst)

and

• tertiary-level training, demonstrating capability in a cognate discipline
• exhibits potential to pursue postgraduate (level 8) studies

Evidence requirements will be a CV and an employer provided statement of service in relation to professional experience.

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.

Students with at least a "Pass" in the core courses can be considered for entry into the Graduate Diploma in Health Data Science 5372 program.

For more information on university policy on progression requirements please visit Academic Progression

The Graduate Certificate in Health Data Science aims to graduate professionals with a sound grounding in the foundations of Health Data Science, appealing to an identified area of workforce need. Thus graduates will be well positioned for a range of roles in both the public and private healthcare sectors. High-achieving students will also be well suited to further academic study, particularly at MSc level.