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


Master of Data Science
Teaching phases
Data science foundations
Study combines computer science, mathematical statistics and domain expertise for large-scale data management and analysis.
Industry or research application
Students can undertake an industry-linked capstone and may choose a research stream involving a data-science researcher.
Applying to RMIT University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for RMIT University. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at RMIT University.


Master of Data Science
Teaching phases
Data science foundations
Study combines computer science, mathematical statistics and domain expertise for large-scale data management and analysis.
Industry or research application
Students can undertake an industry-linked capstone and may choose a research stream involving a data-science researcher.
Applying to RMIT University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for RMIT University. 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
Applied learning is programme-specific but central to RMIT's model. Information technology students work across programming, systems, cloud, data, AI and cybersecurity; data-science students can complete an industry-linked capstone; cyber-security students use laboratory, simulated and project-based work; engineering students develop design and professional competencies; architecture students work in design studios; and MBA students work on practical business problems with industry connections. Accreditation and placement conditions must be checked on the individual course page.
Industry & placement partners
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Applied learning is programme-specific but central to RMIT's model. Information technology students work across programming, systems, cloud, data, AI and cybersecurity; data-science students can complete an industry-linked capstone; cyber-security students use laboratory, simulated and project-based work; engineering students develop design and professional competencies; architecture students work in design studios; and MBA students work on practical business problems with industry connections. Accreditation and placement conditions must be checked on the individual course page.
Industry & placement partners