Health Data Science (HDS) is the science and art of generating data-driven solutions through comprehension of complex real-world health problems, employing critical thinking and analytics to derive knowledge from big data. HDS is an emergent discipline, arising at the intersection of biostatistics, computer science, and health. The Graduate Certificate in Health Data Science covers the first part of the HDS pipeline concerned with comprehension of health context, statistical foundations, principles of programming, and data wrangling and management. Graduates can embark on further study in the Graduate Diploma or Master of Health Data Science.

^ Offshore international students are not eligible for an Australian student visa for part-time study mode. * Not published - The number of students is less than five and is hidden to maintain privacy.

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 experienceorminimum 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, includingmedicinenursingdentistryphysiotherapyoptometrybiomedical/ biological sciencepharmacypublic healthveterinary sciencebiologybiochemistrystatisticsmathematical sciencescomputer sciencepsychology(health) economicsdata scienceother (case-by-case basis)Relevant experience is defined as:any (professional) position involving data acquisition, management or handling (e.g. database manager)orany (professional) position involving analytics (e.g. data analyst)andtertiary-level training, demonstrating capability in a cognate disciplineexhibits potential to pursue postgraduate (level 8) studiesEvidence 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.

Applications must be submitted through our Apply Online portal. We encourage you to submit your completed application as early as possible to ensure it will be processed in time for your preferred term.

Some high-demand programs with limited places may have an earlier application deadline or commencement date. Find out more.

^There is a limited number of Commonwealth Supported Places available for this degree. The indicative tuition fee for domestic postgraduate students shown is for fee paying students, not students in Commonwealth Supported Places. To find out more about the student contribution amounts for Commonwealth Supported Places visit Postgraduate Commonwealth Support.

*Fees are subject to annual review by the University and may increase annually, with the new fees effective from the start of each calendar year. The indicative fees listed here are based on an estimated average and are for tuition only – other fees and charges are not included. The amount you pay will vary depending on the calendar year to enrol, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (8 courses per year). Indicative fees are a guide for comparison only based on current conditions and available data. You should not rely on indicative fees. More information on fees can be found at the UNSW fees website.

Indicative fees to complete the program have been calculated based on a percentage increase for every year of the program. Fee increases are assessed annually and may exceed the indicative figures listed below.