Master's Degree Computer Science Full Time

Master of Predictive Analytics

at Curtin University · Perth, Western Australia

CRICOS course code

092977C

CRICOS provider code

00301J

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

2 years

Tuition (whole course)

A$93,884 total

Per year

A$46,942/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

Curtin University's Master of Predictive Analytics is designed for those interested in making sense of complex datasets and using statistical methods to anticipate future trends. Across two years of full-time study, students engage with subjects like machine learning, statistical modelling, big data handling, and advanced data mining. You'll have the opportunity to work with real-world datasets and explore how predictive tools are used in industries from finance to health and retail.

The course is structured in line with Australian master's degrees: students typically complete a set number of core and elective units of study, each carrying a value in credit points, culminating in a total that meets the requirements for a master's qualification. Curtin's predictive analytics course often features a research project or capstone in the final stage, where students apply what they've learned to a genuine business or research problem—this helps bridge academic study with industry expectations.

Key skills developed include data wrangling, exploratory analysis, programming for analytics, and the ability to interpret analytical outcomes for non-specialists. Students usually get access to software and tools commonly used across Australian industry, and they're often encouraged to collaborate on projects with Curtin's research partners or through placement opportunities in Perth's business and tech sector. This course suits those with a background in mathematics, computer science, engineering, or similar fields who want to move into predictive analytics roles.

Graduates studying on a student visa can work up to 48 hours per fortnight during teaching periods, as allowed by Australian regulations. After graduation, eligible international students can apply for the Temporary Graduate visa (subclass 485), which allows work in Australia for a set period. Always check the university's official site for the most up-to-date admission requirements and course structure details.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Predictive analyst in finance, insurance, or retail
Data scientist roles in the mining and resources sector
Business intelligence analyst with consulting firms or government organisations
Risk modelling in banking or healthcare
Research and analytics roles within Australian universities or public agencies

Frequently asked questions

How long is the Master of Predictive Analytics at Curtin University?

It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$93,884 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Predictive analyst in finance, insurance, or retailData scientist roles in the mining and resources sectorBusiness intelligence analyst with consulting firms or government organisationsRisk modelling in banking or healthcareResearch and analytics roles within Australian universit...

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