Learn concepts of data analysis, computing and visualisation, and how analytics can be used to predict future scenarios.
- Graduate Certificate in Predictive Analytics
This course is 6 months' full-time or the equivalent part-time study.
- 6 months full-time
A full-time study load usually consists of 200 credits (approximately eight units) per year, with 100 credits (approximately four units) in each semester.
The Commonwealth Register of Institutions and Courses for Overseas Students (CRICOS) Code indicates a registered program offered to international students studying in Australia on student visas.
The Curtin campuses or teaching locations where units of this course are offered.
- Curtin Perth
Select your preferred campus:
If COVID-19 restrictions apply, we may need to make changes to units and/or delivery modes.
Learn to apply your studies to real industry challenges and situations.
Top 1 %
Curtin is ranked in the top one per cent of universities worldwide.
Academic Ranking of World Universities 2022.
You will learn the basics of predictive data analytics, and the concepts of data analysis, computing and visualisation. You will also find out how these concepts can be used to predict future scenarios.
Please refer to the handbook for additional course overview information.
- 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.
- Predictive analytics can be applied to many fields of interest, from resource operations engineering, asset management and productivity, and finance and investment, to actuarial science and health economics.
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.
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.
What you'll learn
- comprehend the theoretical background of data analytics and data processing of unstructured data for correct interpretation of the data
- explain the various approaches to data analysis and appreciate strategies for adapting them to a specific situation
- assess information from a variety of sources and assisting to develop a plan to optimise data management, processing and prediction
- communicate data analysis findings in a variety of ways via written, verbal or electronic communications
- assist in evaluating and selecting appropriately from existing and emerging data analysis and prediction technologies
- utilise fundamental knowledge to enable further study of new and emerging prediction analysis concepts, issues and management strategies
- identify the international standards related to the predictive analytics industry; consider issues with a global perspective
- articulate the ethical issues related to protecting the rights of individuals from diverse cultures; inclusive of Indigenous perspectives and how that maps to ensuring the quality and integrity of data collected and analysed
- apply lessons learnt in a professional manner to assist in all areas of prediction design, demonstrating leadership and ethical behaviour at all times
A recognised bachelor degree.
Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.
|IELTS Academic (International English Language Testing System)|
|Overall band score||6.0|
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
Fees & charges
Domestic fee paying postgraduate
Fee year: 2023
What is a domestic fee-paying (DFP) place?
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.
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.
- On campus
- On campus
- 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. Please view our application deadlines page for further information.Apply now
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