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Students looking at public health trends

Big Data and Digital Health

Graduate Certificate


Graduate Certificate in Big Data and Digital Health
1 year full-time
Bentley Campus


In the right hands, big data can provide unparalleled insight to drive improvements in health care, lower costs and help conquer today’s biggest healthcare challenges.

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Health data analysts take data from a range of sources including electronic health records, medical images, government records and smart devices, and employ advanced techniques to reveal underlying trends and anomalies. From this, they can produce the evidence needed to drive better decisions in health policy, clinical practice and population health.

This course is suited to healthcare workers as well as graduates from a broad range of disciplines who wish to enter the field of data analytics. You’ll start with an introduction to biostatistics and learn how big data is generated, communicated and governed in the health setting.

Following on, you will undertake an advanced unit in machine learning techniques – where big data is used to make decisions – and one optional unit. 

Although the focus is on applications of big data in health, the skills and knowledge you gain may be applied to other industries in which big data has become crucial to strategic decision-making.

Why study

  • You’ll be learning in an environment where big data is being used to solve pressing healthcare issues. Our researchers have made major breakthroughs in the detection of breast cancer using artificial intelligence, and the improved the prediction of stillbirths using machine learning.
  • You can gain practical experience through spending time at our partner organisations, including the Department of Health WA, WA Primary Health Alliance and the Country Health Service, where you can explore data to answer real world questions.  

Career information


  • Health data analyst
  • Health economist
  • Researcher
  • Statistician/biostatistician.


  • Healthcare
  • Health policy
  • Population health
  • Health promotion.

What you'll learn

  • identify existing big data sets with a potential to provide strategic insights into a health issue.
  • apply knowledge in key areas of big data, visualisation, governance and machine learning to ensure robust information for strategic decision making in health.
  • communicate health data effectively including visualisations to audiences from the lay public to technical professionals.
  • ensure ethical utilisation of data from public and private populations.
  • demonstrate cultural awareness and sensitivity in local and international contexts; recognise the importance of communicating in a culturally respectful way.
  • use technologies that are in high demand in industry.

Admission criteria

Other requirements and notes for this course

This fee paying course is two semesters part-time study and is offered both internally and fully online. Mid-year commencement is available but applicants should be aware that minimum completion time would be 18 months.

In addition to the course-specific admission criteria listed above, please read our general admission criteria. Our general admission criteria apply to all courses at Curtin University.

Advanced standing

At Curtin, we understand that everyone’s study journey has been different.

You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.

If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.

A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.

CRL is also known as recognition of prior learning, advanced standing and credit transfer.

Use the CRL search to find out how much CRL you qualify for, or contact us at:

Webform: Submit here

Curtin Connect: 1300 222 888

CRL search

Fees & charges

Domestic fee paying postgraduate

Fee year: 2022

Student type Cost
Domestic $11,700*

Fees are indicative only.

* Based on a first-year full-time study load of 100 credits. The total cost will depend on your course options (i.e. units selected and time taken to complete).


For start dates, please view the academic calendar.

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Semester 2
  • On campus
  • Online


Semester 1
  • On campus
  • Online
Semester 2
  • On campus
  • Online


Semester 1
  • On campus
  • Online
Semester 2
  • On campus
  • Online


Semester 1
  • On campus
  • Online
Semester 2
  • On campus
  • Online

All endeavours are made to ensure location information for courses is up to date but please note they are subject to change.

The University reserves the right to withdraw any unit of study or program which it offers, to impose limitations on enrolment in any unit or program, and/or to vary arrangements for any program.

How to apply

Please review information on how to apply for the campus of your choice

Please note that each campus has different application deadlines. Please view our application deadlines page for further information.

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Opening hours:
Mon to Fri: 8.30am – 4.30pm, except Tues: 9.30am – 4.30pm (AWST). Closed public holidays.
  • Curtin course code: GC-HLTDAT
  • Last updated on: 11/08/2022