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In this program, you'll dive into postgraduate studies at Australia's premier research university for data mining and analytics (The Australian Research Magazine 2025). Engage in a hands-on capstone project combining research training with guidance from industry professionals and academic leaders. Pursue interdisciplinary studies with focus areas including computational data science, statistical analytics, biomedical informatics, and information systems, with customizable course options across these specialties. Develop expertise in converting raw data into meaningful insights and strategic recommendations, empowering you to implement change and inform critical business decisions across diverse sectors. Combine principles from mathematics, statistics, computer science, information technology, biomedical analytics, and business management to address real-world industry challenges. Why select this program Stay ahead of industry trends. Drive meaningful transformation and impact key decisions by becoming proficient in analyzing the vast, complex, and rapidly evolving data landscape. Our faculty includes internationally recognized researchers from the QUT Centre for Data Science, maintaining strong industry connections that guarantee up-to-date curriculum and exceptional educational opportunities.
2-year program
You must have a recognised bachelor degree (or higher qualification) in any discipline with a minimum grade point average (GPA) of 4.00 (on QUT's 7 point scale).
1.5-year program
You must have a recognised bachelor degree (or higher qualification) in information technology, mathematics, or biomedical science with a minimum grade point average (GPA) score of 4.00 (on QUT's 7 point scale).
IELTS – overall – 6.5, Listening – 6.0, Reading – 6.0, writing – 6.0, speaking -6.0. TOEFL iBT – Overall – 79, Listening – 16, Reading – 16, writing – 21, speaking -18