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University of New South Wales (UNSW)

Kensington, New South Wales, Australia

Master of Science in Health Data Science (Extension)

The Master of Science in Health Data Science will prepare you to find the right data, unlock hidden insights and use this information to better support clinical care, inform health policy and improve population health.

The two-year Master of Science in Health Data Science (Extension) builds upon this, offering an opportunity to dive deeper into different aspects and applications of Health Data Science through a research dissertation or a work placement. This research can involve analysing big data to solve health issues or involve the development of health-related data driven application. You’ll be perfectly positioned to pursue a PhD in Health Data Science to further advance your career.

Campus Information

Kensington

High St Kensington, NSW 2052 Australia

Intakes

  • Feb
  • Sep

Application Processing Time in Days: 21

Application Process

Application Processing
21 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

The role of a health data scientist is dynamic and always evolving as their work spans across any of the multiple stages of the health data pipeline. From designing and leading research studies and analysing data, through to building machine learning processes to understand complex health issues, a health data scientist’s work draws on a multiplicity of skills.

Because it’s a profession in its early development stages, new roles and opportunities in this sector are being created all the time. The health data scientist may, for example, manage a team of data analysts to work out processes to gather data, assess how to model the data or devise ways to implement health policy change based on the outcomes of their studies and findings.

PSW Opportunity

Post Study Work Steam Renames to Post Higher Education Work Steam.

  • Bachelor degree holders including honours can get upto 2 years of post study stay
  • Master by course work and extended (with a duration exceeding 2 years) can stay upto 2 years
  • Masters by research (with a duration exceeding 2 years) and PhD holder can stay upto 3 years
  • The Maximum eligible age to apply for PSW will be reduced to 35 years of age from 50 years of age for all applicants

Due to the Australian Indian Economic Cooperation and Trade Agreement signed by the 2 countries, according to which:

  • Indian students completing bachelor degree including honours can stay upto 2 years
  • Bachelor degree with First class honours in STEM including ICT can stay upto 3 years
  • Masters by coursework in extended researched (with a duration exceeding 2 years) can stay upto 3 years
  • PhD students can stay upto 4 years

Admission Requirement / Eligibility Criteria

For entry into this degree, you must have one of the following:

  • an undergraduate degree in a cognate discipline
  • an undergraduate degree in a non-cognate discipline at honours level
  • successful completion of the Graduate Diploma in Health Data Science (5372)
  • qualifications equivalent to or higher than the Graduate Diploma in Health Data Science (5372) on a case-by-case basis.

Cognate disciplines

  • 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)