GraduateData Science
Master of Data Science
Swinburne University of Technology, Melbourne, VIC, Australia
About this program
Swinburne's Master of Data Science makes the industry-based capstone mandatory rather than optional: every student works with an external client on a real business problem before graduating, not just those who opt into an industry track. High-performing students (Credit average or better) can go further and apply for the internship unit (ICT80004), which places them directly inside a company for the duration rather than working client problems from campus.
The course is structured with a graduate-certificate exit point after 8 core units, so students who need to stop partway (a job offer, a visa change, a change of plans) leave with a genuine, transcript-backed credential rather than nothing. That's a more forgiving structure than degrees where the only recognised outcome is the full masters.
Given Swinburne's engineering and computing strengths, the data science degree tends to lean toward applied, production-oriented data science, building and deploying models for real organisational use, over a purely theoretical statistics-heavy curriculum, which suits students aiming at industry data science and machine learning engineering roles rather than academic research.
Fees & duration
English test scores
Verified swinburne.edu.au ↗
Course structure
Study plan in 5 parts
- 8 core units (graduate certificate exit point): programming for data science
- statistical modelling
- machine learning
- big data systems
- data visualisation
- data ethics and governance
- Additional core and elective units toward the full masters (2 further core units plus 1 elective, subject to specific course version)
- Internship Project (ICT80004) for students with a Credit average or higher
- mandatory Industry Capstone Project
- delivered for an external client organisation
- Total award requirements vary by entry pathway and credit granted
- typical full-time load is 8 units/year
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 or IT-related discipline
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