Covering the entire pipeline (from comprehension of complex health issues, through data wrangling and management, machine learning and data mining, statistical modelling, and communication including data visualisation), the Master of Science, Graduate Diploma and Graduate Certificate in Health Data Science are Australasia’s first postgraduate programs in Health Data Science.
As part of the Centre for Big Data Research in Health at UNSW, you’ll belong to a vibrant community of researchers, educators, and PhD students. The Centre for Big Data Research in Health aims to maximise the productive use of all possible sources of health big data to enhance the health and well-being of Australians and the global community. Its interdisciplinary team of staff have world-leading expertise in managing, manipulating, analysing and visualising health big data.
The Master of Science in Health Data Science 9372 (72 Units of Credit) is a fully articulated program with options for a Graduate Certificate 7372 (24 Units of Credit) and Graduate Diploma 5372 (48 Units of Credit).
Students progress through the Health Data Science pipeline as they work through the degree levels. In the Graduate Certificate, students acquire foundational skills through 4 core courses in health context, programming, statistics and data curation and management. Skills in advanced statistical modelling, machine learning and data visualisation are then developed in the Graduate Diploma. The Master of Science provides an opportunity to experience the entire Health Data Science pipeline using a real-world health data problem through a workplace or internship research dissertation, or students can select a capstone project and further their technical learning with a choice of electives. High achieving graduates of the Master of Science can apply for a PhD program.
The Health Data Science programs are designed for those new to Health Data Science and those already working in the field looking to upskill. Potential Australian and International students from any undergraduate background and/or who possess relevant work experience will be considered for admission via the Graduate Certificate pathway. Entry requirements are described in the UNSW Handbook for each program.
For non HDAT courses, please visit the respective Faculty and School pages for course outline
| Course Code | Course Name | Course Convenor(s) | Term Offering | Course Outline |
|---|---|---|---|---|
| HDAT9100 | Context of Health Data Science | Dr Amy Gibson | T1 | HDAT9100 Course Outline |
| HDAT9200 | Statistical Foundations for Health Data Science | Andrew Blance | T1 | HDAT9200 Course Outline |
| HDAT9400 | Management and Curation of Health Data | Sanja Lujic | T2 | HDAT9400 Course Outline |
| HDAT9500 | Machine Learning and Data Mining | Dr Oscar Perez Concha | T3 | HDAT9500 Course Outline |
| HDAT9600 | Statistical Modelling 1 | Andrew Blance | T2 | HDAT9600 Course Outline |
| HDAT9700 | Statistical Modelling 2 |
Dr Mark Hanly Dr Maarit Laaksonen |
T3 | HDAT9700 Course Outline |
| HDAT9800 | Visualisation and Communication of Health Data | Dr James Farrow | T2 | HDAT9800 Course Outline |
|
HDAT9900 HDAT9901 HDAT9902 |
Research Dissertation | Andrew Blance | T1, T2, T3 | |
| HDAT9910 | Research Capstone | Andrew Blance | T1, T2, T3 |
For more information about the postgraduate programs in Health Data Science, please contact us:
Email: MScHDS@unsw.edu.au
Current students: send your enquires via unsw.to/webforms
Phone: +61 2 9385 9064
Visit: Level 1, Centre for Big Data Research in Health, AGSM Building, UNSW, Kensington, Sydney.
CRICOS Provider Code: 00098G
ABN 57 195 873 179
T +61 (2) 9385 9155
E cbdrh@unsw.edu.au
Centre for Big Data Research in Health
UNSW Australia
Sydney NSW 2052, Australia
Level 4
Lowy Building (C25)
Cnr Botany & High St
Kensington Campus
UNSW Australia 2052
