Course overview
The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. It is currently the only master degree course in predictive analytics in Australia.
It is a multidisciplinary degree, in which you can choose from four majors to learn about specific application domains. It introduces advanced skills in data management, mining and visualisation, decision methods and predictive analytics, with a focus on their applications to different disciplines, such as engineering, networking, business and finance.
You will have opportunities to work on industry-sponsored projects, and participate in Curtin partnerships through Innovation Central Perth and the Curtin Institute for Data Science.
Upon completion of this course, you will be well placed to handle the ‘big data’ issues of the future, understand how to overlay historical and prediction data with production, financial and other data and correlate probability assessments to make better informed decisions.
Career outcomes
Careers
- Computer scientist
- Data analyst
- Business consultant
- Operations consultant.
Industries
- Big Data
- Finance
Your student experience
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Course structure
What you’ll learn
In this course, you will learn how to correlate probability assessments, handle the big data issues of the future and make informed decisions in your business or industry.
You will tailor your degree to suit your interests and career goals by choosing a major.
Resource Operations Analytics
The Resource Operations Analytics major is for petroleum and mining engineers. It gives you the ability to analyse, interpret and utilise complex data analytics relating to resource assets and operations. This major will improve your operational business decision-making, resulting in maximised asset productivity and enhanced business growth.
This major was the first course in Australia to apply data analytics and big data concepts in practice to optimise operational engineering.
Finance and Investment Analytics
The Finance and Investment Analytics major embeds economic and financial econometric analysis within the data and predictive analytic framework. It aims to help you become a data and predictive analytics expert with a working knowledge in economic, finance and business data.
You will learn to apply your skillset to different business situations, and help inform finance and investment forecasts.
Internet of Things
The explosion of embedded and connected smart devices, systems and technologies in our lives has created an opportunity to connect every ‘thing’ to the Internet. The resultant data collection and connectivity generates huge amounts of data, which needs to be analysed and potentially responded to in real-time. This is disrupting and transforming every industry around the world.
The Internet of Things major draws on the fundamentals of Predictive Analytics to teach you the underlying principles and architecture of the Internet of Things, its networks, devices, programming, data and security.
Data Science
The Data Science major consolidates data science and predictive analytics skills through core machine learning and project units along with a range of optional units. These units will extend your knowledge in many areas including artificial intelligence, statistics, programming, security and automation.
This major is applicable to employment in data analytics across a wide range of fields.
How this course will make you industry-ready
- You can tailor your degree to suit your career field.
- You’ll gain advanced knowledge and undertake professional practice.
- You’ll work on cutting-edge projects in the space of innovation and commercialisation, drawing on sophisticated research methods and techniques.
- You’ll develop an excellent understanding of the science and application of predictive analytics, and how to improve and develop prediction software.
Detailed course structure and unit information
For detailed information and course structure, visit our Handbook.
Entry requirements
A recognised bachelor degree.
Course-specific requirements
You’ll also need to meet any specific requirements to be eligible to apply for this course.
Study credit and support
You may be able to receive credit for recognised learning (CRL) from past study or professional experience, which could reduce the time it takes to finish your course.
Find specific details about CRL for this course on the Handbook.
Additional information
Notes about this course
Make sure you check the course notes for any other important information.
Fees
2026 Domestic indicative fees
Domestic fee-paying first-year fee
$37,484*
Important information about fees
- *Fees are indicative only
- First year fees are based on a first-year full-time study load of 200 credit points. Your fees will vary depending on the units you choose.
- This indicative fee does not include other fees like administrative and incidental fees (such as lab coats or art supplies) or the cost of your textbooks. Visit other fees and charges for more information.
Scholarships
Get the support you need to succeed with our diverse range of scholarships. Whether it’s financial support, assistance with relocation, or recognition for your academic achievements, we have scholarships tailored to your unique needs.
How to apply
Follow these steps to make sure you’re eligible, prepared and ready to apply for your course.
Check entry requirements
Entry requirements differ by course and your previous work and study experience.
Prepare your documents
The documents you need may vary depending on your course and application pathway.
Check application deadlines
Deadlines vary by course and whether you’re applying as a domestic or international student.
Your application pathway
To apply for this course, you’ll apply directly to Curtin via our online applications portal.
Choose your preferred campus to find the application opening and closing dates for this course before you apply.
Select your preferred campus
| Intake | Applications open | Applications close |
|---|---|---|
| Semester 1, 2026 | 21 Apr 2025 | Applications now closed |
| Semester 2, 2026 | 2 Mar 2026 | Applications now closed |
| Semester 1, 2027 | Applications now open | 28 Jan 2027 |
| Semester 2, 2027 | 1 Mar 2027 | 1 Jul 2027 |
Location and delivery
Thinking about starting soon? Course availability can vary by location and study period. Check the course handbook for details on when and where you can start your studies.
For full entry requirements, fees and information for international students, visit the course page.
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