GraduateData Science
Master of Data Science
Adelaide University, Adelaide, SA, Australia
About this program
Adelaide University's Master of Data Science combines computer science, mathematics, and statistics with a significant capstone project (either research-based or industry-based) sitting alongside a flexible mix of core and elective courses that lets students lean toward machine learning, AI, or data engineering depending on background.
Unlike the more AI/cybersecurity-heavy Master of Computer Science, the Data Science degree keeps a stronger statistics and mathematics backbone throughout, useful for students coming from an analytics or actuarial background rather than straight software engineering. Electives can be drawn from programming, systems programming, algorithms, and distributed systems courses shared with the Computer Science program, so the two degrees overlap more than their names suggest.
Adelaide runs three intakes a year for this degree, in January, May, and September, which is unusual outside the standard February/July starts, and well suited to international students whose home academic calendars don't line up with the Australian one. Career paths include data scientist, data engineer, machine learning engineer, and business intelligence analyst.
Fees & duration
English test scores
Verified adelaide.edu.au ↗
Course structure
Study plan in 4 parts
Year 1, Semester 1
- Statistical Learning
- Programming for Data Science
- Data Management and Databases
- Elective1 elective
Year 1, Semester 2
- Machine Learning
- Big Data Analytics
- Elective2 electives
Year 2, Semester 1
- Data Science Capstone Project (Research or Industry-based)
- Elective1 elective
Year 2, Semester 2
- Advanced Topics in Data Science
- Elective1 elective
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
Data AnalystANZSCO 224114
Added to ANZSCO alongside Data Scientist in 2022. Sits on CSOL only, supporting the employer-sponsored 482 and 186, not the points-tested 189, 190, or 491.
Assessed by Australian Computer Society (ACS)
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
Assessed by VETASSESS
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
Bachelor's degree in a quantitative discipline (mathematics, statistics, computer science, engineering, or similar) with a GPA equivalent to 4.5/7.0.
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Master of Actuarial Science
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Master of Actuarial Science (Specialisation)
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Master of Business Analytics
Melbourne Institute of Technology · Graduate
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