Graduate Diploma in Predictive Analytics
|Study method||Full-time or part-time|
|Intake||February or July|
|Duration||1 year full time|
This course is designed to prepare you for entry to the multidisciplinary predictive data analytics profession, in which many operations are automated and controlled remotely.
It will provide you with an in-depth background to predictive analytics and the use of computing, including basic concepts of data analysis, computing and visualisation, as well as in-depth understandings on data security, data mining and business applications.
Admission criteria for Australian and New Zealand students
- Recognised bachelor degree.
English language proficiency
|IELTS Academic (International English Language Testing System)|
|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
|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.||$26,200*|
Fees are indicative only.
* Based on a first-year full-time study load of 200 credits. The total cost will depend on your course options (i.e. units selected and time taken to complete).
Applications for recognition of prior learning (RPL) are assessed on an individual basis. Try our RPL search to find out what credit you might be eligible for.
Learn about Credit for Recognised Learning (CRL)
More information about Predictive Analytics