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Graduate Certificate in Predictive Analytics

GradCertPredAnylt(Curtin) - GC-PREDAN Science and Engineering
Location Bentley
Study method Part-time or full-time
Study mode On-campus
Intake February
Duration 6 months full time

In this course you will learn the basics of predictive data analytics and concepts of data analysis, computing and visualisation, and find out how these concepts can be used to predict future scenarios.

When you complete the course, you may be eligible to enter the Graduate Diploma in Predictive Analytics or the Master of Predictive Analytics.

Admission criteria

Admission criteria for Australian and New Zealand students

  • Recognised bachelor degree.

English language proficiency

IELTS Academic (International English Language Testing System)
Writing 6.0
Speaking 6.0
Reading 6.0
Listening 6.0
Overall band score 6.5

Other qualifications may also satisfy our English language admission criteria. Please view our English language requirements page to find out more.


Fees for Australian and New Zealand students

Year Student type Cost
2018 Domestic fee paying Domestic fee-paying - A domestic fee-paying place is a place at university which is not Commonwealth supported, that is, not subsidised by the Australian Government. Domestic fee paying students will be charged tuition fees and may be eligible for FEE-HELP assistance for all or part of those tuition fees. $13,400*

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).

Use the Fee Calculator for an estimate of individual unit fees. There may also be some additional costs. For more information, see other fees and charges.

Credit for previous study

Applications are assessed on an individual basis

Learn about Credit for Recognised Learning (CRL)

Career opportunities

Experts in predictive analytics are well placed to handle the ‘big data’ issues of the future. They understand how to overlay historical and prediction data with supply chain financial and other business data, and are able to correlate probability assessments for better informed decisions.

How this course will make you industry ready

Data analytics is used to analyse data in order to draw conclusions - whereas predictive analytics is a newly emerging field that allows us to utilise this data in order to predict future outcomes, allowing companies to make better informed decisions and execute efficient strategies on disruptive technologies.

More information about Predictive Analytics