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Overview

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 (bio)statistics, computer science, and health. The Graduate Diploma Health … For more content click the Read More button below. Graduate Certificate in Health Data Science graduates will be well suited to an identified area of workforce demand, in both public and private health sectors. High-achieving graduates will have potential for consideration of further study in MSc in Health Data Science (9372). The program is designed to appeal to both those new to Health Data Science and those already working in the field looking to upskill. The Graduate Diploma is appropriate for both an Australian and international audience. Potential students from any undergraduate background and/ or who possess relevant work experience will be considered for admission. The program can be completed in 12 months full-time or part-time over 3 years. The 48 unit of credit coursework program is fully articulated, with options for further study at MSc level (further 24 UoC).

Learning Outcomes

1.
Global outlook - Graduates will be able to demonstrate a global perspective for the potential of Health Data Science to positively impact health at both individual and community levels.
  • Professionals
  • Global Citizens
  • Scholars
2.
Advanced disciplinary knowledge and practice - Graduates will be able to apply Health Data Science principles to novel contexts.
  • Professionals
  • Scholars
  • Global Citizens
3.
Cognitive skills and critical thinking - Graduates will be able to apply Statistical Thinking to synthesise and critically evaluate complex Health Data Science concepts.
  • Scholars
  • Professionals
  • Leaders
4.
Communication, adaptive and interactional skills - Graduates will be able to communicate knowledge arising from Health Data Science insights to diverse audiences, in a variety of media including data visualisation (Vis), oral and written word.
  • Leaders
  • Scholars
  • Professionals
5.
Enquiry-based learning - Graduates will be able to generate data-driven solutions through comprehension of real-world health problems, employing critical thinking and analytics to derive knowledge from (big) data.
  • Professionals
  • Scholars
  • Leaders

Graduate Capabilities

For more information on Graduate Capabilities please click on this link

Program Structure
48 Units of Credit:

Students must complete 48 UOC as a standalone program.

Core Courses

Students must take 48 UOC of the following courses.

COMP9021
6 UOC
Principles of Programming
HDAT9100
6 UOC
Context of Health Data Science
HDAT9200
6 UOC
Statistical Foundations for Health Data Science
HDAT9400
6 UOC
Management and Curation of Health Data
HDAT9500
6 UOC
Health Data Analytics: Machine Learning and Data Mining
HDAT9600
6 UOC
Health Data Analytics: Statistical Modelling I
HDAT9700
6 UOC
Health Data Analytics: Statistical Modelling II
HDAT9800
6 UOC
Visualisation and Communication of Health Data

Enrolment Disclaimer

Please note that this Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.

Admission Requirements

Entry Requirements

For more information about admission requirements for various UNSW programs, visit the following website(s):
Domestic Students
International Student

Program Requirements

Progression Requirements

Pathways

Articulation Arrangements

Graduate Certificate in Health Data Science - GradCertHDS7372 - Health Data Science
Master of Science - MSc9372 - Health Data Science

Professional Outcomes

Career Opportunities

Program Fees

At UNSW fees are generally charged at course level and therefore dependent upon individual enrolment and other factors such as student's residency status. For generic information on fees and additional expenses of UNSW programs, click on one of the following:

Domestic Students
Commonwealth Supported Students (if applicable)
International Students

Additional Expenses

N/A

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions