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otherAustralia · Master’sResearched 0d ago

Data Science

University of Melbourne
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Overview
University of Melbourne Master of Data Science admission is primarily grade-based: applicants need a qualifying bachelor degree, a minimum WAM of 65%, and specified prerequisite subjects; the published selection criteria cite prior academic performance only. English proficiency is also required at the stated course level. No portfolio or statement of purpose is listed in the official admission criteria.

Admission criteria

PortfolioLow

No portfolio is listed in the published entry requirements or selection criteria for this course.

Bar to clear: Not used by this program

Statement of PurposeLow

No statement of purpose or personal statement is listed in the published entry requirements or selection criteria for this course.

Bar to clear: Not used by this program

Academics & GPAHigh

The program looks for prior academic performance, including a completed bachelor degree and the required prerequisite subjects; applications are assessed and ranked on academic strength.

Bar to clear: WAM 65% minimum

Test scoresMedium

Applicants must satisfy the University of Melbourne English language requirement, either through prior study in English or an approved English test at the course level.

Bar to clear: IELTS 6.5 overall (or equivalent)

Application components

Transcript / GPAEnglish/entrance test report
How to stand out
Keep your WAM at or above 65%, with stronger grades in quantitative subjects.
Make sure the programming, calculus, and linear algebra prerequisites are clearly satisfied before applying.
If using English tests, target above the minimum so your score is comfortably competitive.
Use a recent transcript or grade conversion that clearly shows your academic average and relevant subjects.

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