Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of Queensland.

Master of Data Science
Teaching phases
Computing, statistics and mathematics
Students study advanced topics from computing, statistics and mathematics and develop data-intensive decision skills.
Applied data science
The curriculum includes data analytics at scale, machine learning, responsible data science and research experience.
Applying to University of Queensland?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Queensland. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of Queensland.

Master of Data Science
Teaching phases
Computing, statistics and mathematics
Students study advanced topics from computing, statistics and mathematics and develop data-intensive decision skills.
Applied data science
The curriculum includes data analytics at scale, machine learning, responsible data science and research experience.
Applying to University of Queensland?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of Queensland. The consultation is free.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Practical learning is award-specific. Commerce includes major and elective choices with industry-informed learning; the LLB includes placement courses and Pro Bono Centre opportunities; Data Science uses data analytics, machine learning and research experience; the MBA uses applied business learning; and the PhD is built around supervised original research. None of these pathways guarantees employment, placement or professional registration.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Practical learning is award-specific. Commerce includes major and elective choices with industry-informed learning; the LLB includes placement courses and Pro Bono Centre opportunities; Data Science uses data analytics, machine learning and research experience; the MBA uses applied business learning; and the PhD is built around supervised original research. None of these pathways guarantees employment, placement or professional registration.