Graduate
Graduate Diploma in Health Data Science
UNSW Sydney, Sydney, NSW, Australia
About this program
UNSW's Graduate Diploma in Health Data Science builds on the Graduate Certificate with the second stage of the health data science pipeline, covering data analytics, machine learning, data mining, data modelling and communication including data visualisation. The 48-credit-point program suits both newcomers and existing health or data professionals looking to upskill, positioning graduates for identified workforce demand across public and private health sectors, with high achievers able to continue into the Master of Science in Health Data Science. It suits people from any undergraduate background or with relevant work experience who want substantial health data science training without committing to the full master's, completable in twelve months full-time or up to three years part-time, with credit carrying forward for students who continue their studies.
Cost & duration
English test scores
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Course structure
1 term of coursework
- Students must complete 48 UOC when taken as a standalone program
Admissions
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. In the case of HDAT9200 and HDAT9300, combinations of both formal and non-formal learning, and RPL accepted for program entry will be considered towards credit. For all other courses in the program, non-conferred formal learning beyond that acknowledged for program entry will be considered towards credit. Recognition of formal learning is assessed for equivalence to an entire (HDAT) course on a case-by-case basis. Recognition of non-formal learning will result from successful completion of an equivalent course from our suite of Continual Professional Development. Credit granted will yield specified credit for the equivalent 6 UoC course. Reduction in the total volume of ...
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