University of Queensland
1.5 years full-time or 2 years full-time
Master the most comprehensive data science program in Australia, combining advanced computing, statistics, and mathematics with industry-specific knowledge. Designed for professionals seeking to tackle complex data science challenges and lead the future development of data science solutions globally.
For the 2-year degree: Bachelor's degree in a relevant discipline (computer science, IT, mathematics, engineering, physics, actuarial studies, or data science) with GPA 5.0 on a 7-point scale. For the 1.5-year degree: Bachelor's degree in a relevant discipline with at least 3 mathematics courses, 2 statistics/probability courses, and 4 computer science courses, plus GPA 5.0. English language requirements: IELTS 6.5 overall (reading 6, writing 6, speaking 6, listening 6) or equivalent.
Core curriculum includes Introduction to Data Science, Responsible Data Science, Data Analytics at Scale, and Machine Learning. You'll study advanced topics from computing, statistics, and mathematics, with elective choices from business, finance, health, or science disciplines. The program covers big data tools and technologies, ethical data use, legal considerations, and communication skills. Final year includes industry-relevant projects combining theoretical knowledge with practical application.
UQ is ranked 1st in Queensland for engineering and technology and 1st in Queensland for mathematics (QS World University Rankings 2026). The School of Electrical Engineering and Computer Science offers state-of-the-art facilities including a big data lab with relevant tools, over 400 workstations, and 20+ specialist computer labs with 24-hour access. The program provides direct industry contact and practical experience in data science, making it one of the few programs globally offering cross-disciplinary education with real-world application.
Graduates are prepared for diverse career paths including Data Scientist (average salary $115-135K), Data Engineer ($125-145K), Market Researcher, Risk Analyst, Supply Chain Analyst, Business Intelligence Analyst, Data Miner, Big Data Engineer, Portfolio Manager, Actuarial and Analytics Consultant, and Software Developer. Opportunities exist across technology, finance, healthcare, retail, telecommunications, government agencies, consulting firms, and market research organisations globally.
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