Apply for Graduate Certificate in Big Data and Digital Health

Students looking at public health trends

Big Data and Digital Health

Graduate certificate

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.

Course outline
  • Qualification
    Graduate Certificate in Big Data and Digital Health
  • Duration


    1 year part-time
  • Credit


  • Location


    Curtin Perth
Course outline

Deadlines for applying direct to Curtin

Select your preferred campus:

Intake Application open Application close

Semester 1, 2024

1 May 2023

Applications now closed!

Semester 2, 2024

1 March 2024

Applications now closed!

Course outline



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.

What jobs can the Big Data and Digital Health course lead to?


  • 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

What you need in order to get into this course. There are different pathway options depending on your level of work and education experience.

Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Domestic fee paying postgraduate

2024 Fee year:




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).

Looking for more detail on the course structure?

View course structure


For start dates, please view the academic calendar.

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Semester 1
  • On campus
Semester 2
  • On campus

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. View our application deadlines page for further information.

  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

    The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

    While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

    View courses information disclaimer.

  • Curtin course code: GC-HLTDAT
  • Last updated on: 13 July 2024

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Apply for Graduate Certificate in Big Data and Digital Health