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Our rankings

Apply your data science skills

  • No. 2 in Australia

    The University is ranked second in Australia for computer science & engineering in the 2021 Global Ranking of Academic Subjects.

  • 1st for employability

    Our graduates are ranked 1st in Australia and 4th globally for employability by the 2020 QS Graduate Employability Rankings.

Overview

In response to COVID-19, the University of Sydney has reviewed the availability of courses to be delivered remotely. 

This course will be available for students to study remotely whilst the Australian border remains closed due to the COVID-19 global pandemic. Please note that some units of study that are not essential to completing the degree may not be available to be studied remotely.

About this course

If you are a graduate  looking to expand your digital science expertise to health data, or expand your skills in data science to specialise in digital health, the Graduate Certificate in Digital Health and Data Science will provide you with the data science capability to complement your existing skills and provide a pathway to the Master of Digital Health and Data Science.

With healthcare on the cusp of a major transformation through big data, machine learning, and computation, demand for applied data science qualifications and courses is increasing globally. The health sector needs people with the skills to develop, implement, evaluate, and manage data-driven technologies. In the private sector, companies are working directly on healthcare solutions, devices, and analytics platforms.

Recognising that the digital health workforce runs on the strength of multi-disciplinary teams, in this course you’ll learn from and work with engineers, IT specialists, data scientists, and health professionals on projects that come directly from industry and the healthcare sector. 

Co-designed and co-taught by the School of Computer Science in the Faculty of Engineering, and Biomedical Informatics and Digital Health in the Faculty of Medicine and Health, all units have been specifically developed to provide you with advanced data science skills in the context of healthcare.

Subject areas
Shared pool

Entry, fees, funding & how to apply

Depends on your qualification, citizenship status
The details on this page based on your selections are a guide only, and are subject to change.

Your entry requirements

English language proficiency

Find out if you need to prove English language proficiency (depends on your country of origin and educational background).

For academic requirements check the ‘Admission requirements’ section on this page.

Your fee

How to apply

You can apply online via the application portal. When you are ready to apply, select the ‘Apply’ button on this course page. Visit the How to apply page for other important information. 

Standard closing dates:

Semester 1 - 11 February of the commencing year
Semester 2 - 15 July of the commencing year

We strongly encourage applicants to apply as early as possible, offers are made on a rolling basis and places are limited. Separate scholarship deadlines apply - check the scholarships website for details.

Starting date

Semester 1 (March) and Semester 2 (August)

You can apply online via the application portal. When you are ready to apply, select the ‘Apply’ button on this course page. Visit the How to apply page for other important information. 

Standard closing dates:

Semester 1 - 31 January of the commencing year
Semester 2 - 30 June of the commencing year

We strongly encourage international applicants to apply as early as possible to allow time for visa and travel arrangements. Separate scholarship deadlines may apply - check the scholarships website for details.

Starting date

Semester 1 (March) and Semester 2 (August)

Admission requirement

To be eligible for admission, an applicant is required to have:

  • an honours bachelor’s degree, from the University of Sydney with at least a credit average (65 percent), or qualifications deemed by the faculty to be equivalent; or
  • a bachelor’s degree, from the University of Sydney in a cognate discipline* with at least a credit average (65 percent), or qualifications deemed by the faculty to be equivalent.

*A cognate discipline includes Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Economics, Finance, Health Sciences, Medical Sciences, or a related Health Profession or other disciplines that are deemed cognate by the Program Directors.

For qualifications awarded outside Australia, equivalencies and entry requirements are determined based on the country, institution and qualification.

Credit for previous study

For more information about the University’s credit policy, please see the Credit for Previous Studies page.

Career pathways & prospects

The Graduate Certificate in Digital Health and Data Science provides a pathway into the Master of Digital Health and Data Science. It supports data-driven roles in the health industry by providing you specialised skills and knowledge in digital health and applied data science.

Domestic students

International students

To help you understand common terms that we use at the University, we offer an online glossary.