Science
Master of Predictive Analytics
Learning Mode
Full Time
Duration
2 Years (full-time) / 1.5 Years (with relevant prior degree)
Start date
February, July
Qualification
Master of Predictive Analytics
Fees
AUD 41,766
Location
Bentley, Western Australia
About the Course
The Master of Predictive Analytics at Curtin University is a leading-edge, multidisciplinary postgraduate program designed to meet the growing demand for highly skilled data analysts and scientists. This course addresses the critical need for professionals who can leverage vast datasets to forecast future trends, optimize operations, and inform strategic decision-making across various industries. You will acquire advanced skills in data management, data mining, machine learning, statistical modelling, and data Visualisation, with a strong focus on their practical application. Curtin’s program is developed in close collaboration with industry, ensuring you gain the technical and business acumen required to turn raw data into actionable insights and drive innovation.
Career prospects
Graduates of the Master of Predictive Analytics program are exceptionally well-prepared for high-demand roles in a wide array of sectors globally. The program equips you for specialist positions such as Data Scientist, Predictive Modeler, Business Intelligence Consultant, Data Analyst, Machine Learning Engineer, Financial Modeler, Operations Research Analyst, and Quantitative Analyst. Opportunities exist in industries including finance, resources engineering, healthcare, marketing, logistics, government, and technology, where the ability to interpret complex data and predict future outcomes is highly valued.
Why choose Curtin for a Master of Predictive Analytics?
Industry connected
Gain real-world experience via industry projects, expert guest lectures, and partnerships with leading analytics and tech organisations.
Global opportunities
Globally recognised program prepares graduates for international careers in data science, analytics, and evidence-based decision-making roles.
Professional accreditation
While not formally accredited, the program aligns with ACS standards and industry frameworks, boosting professional recognition and employability.
Course Overview
The Master of Predictive Analytics program at Curtin University offers a cutting-edge and multidisciplinary learning experience, designed to cultivate advanced data analysis and forecasting capabilities. The curriculum integrates sophisticated statistical methods, machine learning algorithms, and computational tools with their practical application to real-world business and scientific problems. You will gain expertise in data management, data mining, decision methods, data Visualisation, and the application of predictive models across various domains. The program allows for specialization through different majors, enabling you to tailor your expertise to specific industries like resource operations, finance and investment, or general data science. A significant component involves working on industry-inspired projects or research, allowing you to build a portfolio demonstrating your advanced analytical skills.
Course Duration
- 2 years full-time (standard entry for general Bachelor’s degree holders).
- 1.5 years full-time (for students with a Bachelor’s degree in a cognate discipline such as Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a relevant business/finance degree with a strong quantitative component).
Course Curriculum
The Master of Predictive Analytics curriculum is structured to provide comprehensive and progressive learning in data science and predictive modelling. The program typically consists of 400 credit points.
- Core Foundational Units:
- Topics include: Data Management, Decision Methods and Predictive Analytics, Business Quantitative Techniques, Management and Organizational Behavior, Data Structures and Algorithms, Data Mining, and Fundamentals of Programming. These units provide a robust technical and theoretical base.
- Majors/Specializations:
- Students typically choose from specific majors to apply their predictive analytics skills to particular domains:
- Data Science Major: Consolidates data science and predictive analytics skills through core machine learning and project units, with options extending knowledge in artificial intelligence, statistics, networking, IoT, cloud computing, and security.
- Finance and Investment Analytics Major: Focuses on embedding economic and financial econometric analysis within the data and predictive analytics framework, for applications in finance and investment forecasting.
- Resource Operations Engineering Major: Applies data analytics and big data concepts to optimize operational engineering within the resources industry, often focusing on asset management and productivity.
- Students typically choose from specific majors to apply their predictive analytics skills to particular domains:
- Advanced Units & Capstone Project:
- Includes units like Advanced Machine Learning, Big Data Analytics, and Research Methods. The program culminates in a substantial Capstone Project, allowing students to conduct an in-depth analysis of an industry-inspired problem or an analytical challenge through sponsored projects.
Admission Requirements
- Academic qualifications
- A Bachelor’s degree (or equivalent qualification) from a recognised university.
- For the 2-year pathway: A Bachelor’s degree in any discipline.
- For the 1.5-year pathway: A Bachelor’s degree in a relevant field such as science, engineering, business, or commerce with a strong quantitative component (e.g., Mathematics, Statistics, Computer Science, Information Technology, Finance, Economics).
- Work Experience (where applicable):
- While not a general requirement for all applicants, relevant professional experience in data analysis or a quantitative field may be considered for entry, particularly for those whose Bachelor’s degree is not directly cognate to the field.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL)
- For international students, demonstrated English language proficiency is required. Acceptable tests include IELTS (Academic) with a minimum overall score of 6.5, with no individual band score less than 6.0, or equivalent scores such as PTE Academic (overall 58, with no section less than 50) or TOEFL iBT (overall 79, with minimums: L13, R13, S18, W21).
Fees and Funding
- AUD 41,766 for 1 yr full-time (for international students in 2026). Fees are typically paid per semester based on enrolled units.
Scholarships and Bursaries:
- Curtin University offers various postgraduate scholarships, including those for academic excellence, and specific scholarships for international students, particularly in STEM and Data Science fields. Prospective students are encouraged to explore the Curtin scholarships website for detailed information and application processes, including the Curtin International Scholarships.
Career Opportunities
Graduates of the Master of Predictive Analytics program are equipped for a wide range of highly sought-after roles in the data-driven economy. Potential job roles include: Data Scientist, Predictive Modeler, Business Intelligence Analyst, Machine Learning Engineer, Quantitative Analyst, Financial Analyst (with a finance major), Operations Research Analyst, Consultant (Data/Analytics), and Big Data Engineer. Industries employing our graduates span information technology, finance and banking, mining and resources, healthcare, retail, marketing, government, and research institutions, both domestically and internationally.
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