GraduateComputer Science
Master of Data Science
University of Melbourne, Melbourne, VIC, Australia
About this program
The Master of Data Science at the University of Melbourne builds advanced statistics, machine learning and programming skills across the complementary disciplines of mathematics and statistics and computer science. Students complete a 200-point, two-year program with foundation subjects tailored to their background, then choose from four specialisation streams, foundational, statistical, computational, and computational and mathematical, alongside a major data science project.
Melbourne is ranked first in Australia for data science and AI. Graduates work as data scientists, software engineers, data infrastructure engineers and business intelligence analysts.
Fees & duration
English test scores
Verified study.unimelb.edu.au ↗
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)
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
To be considered for entry into this course, you must: Have completed a bachelor degree (AQF7) in any discipline with a weighted average mark (WAM) of 65%, or equivalent. And Have completed below prerequisite subject(s): A 12.5 point subject from computer science or related disciplines whose content is focused on computer programming (taken at any tertiary year level), and MAST10006 Calculus 2 or equivalent, and MAST10007 Linear Algebra or equivalent.
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