Graduate Certificate in Predictive Analytics
|Study method||Part-time or full-time|
|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.
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.||$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).
Applications are assessed on an individual basis
Learn about Credit for Recognised Learning (CRL)
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.
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