Postgraduate Coursework

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.

image - Overview

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.


Units of Credit


Study mode


Graduate Certificate





0.6 years full-time

Internal, FT or PT

Graduate Diploma





1 year full-time

Internal, FT or PT

Master of Science





1.6 years full-time

Internal, FT or PT


  • HDAT9910 - Health Data Science: Capstone

  • Up to 18 Units of Credits from a choice of 22 electives: 



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




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:


Current students: send your enquires via

Phone: +61 2 9385 9064

Visit: Level 1, Centre for Big Data Research in Health, AGSM Building, UNSW, Kensington, Sydney.

Back to Top