Master of Data Science
Source: https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/entry-requirements/#nav Parent: https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/
Master of Data Science
-
1in Australia for Data Science and AI
-
19university in the world
-
Course code: MC-DATASC
Domestic student Change
Duration
2 years full time / 4 years part time
Mode (Location)
On campus (Parkville)
Intake
March\ Key dates
Fees
Commonwealth Supported Places (CSPs) available\ Learn more
Entry schemes
Access Melbourne is available\ Learn more
Master of Data ScienceHow to applyEnquire
Entry requirements
Entry requirements
Domestic student Change
You're considered a domestic student if you're an Australian or New Zealand citizen, an Australian permanent resident, or have a permanent humanitarian visa. This applies even if you're studying abroad or have dual Australian citizenship.
Admission criteria
To be considered for entry into this course, you must have:
- An undergraduate degree (or equivalent) in any discipline with a Weighted Average Mark (WAM) of at least 65% (or equivalent), AND
- At least 12.5 credit points (one standard subject) of university-level computer science (or equivalent) with content focused on computer programming, AND
- Successfully completed MAST10006 Calculus 2 AND MAST10007 Linear Algebra (or their equivalents).
Where degree levels are referenced, levels align with the Australian Qualifications Framework (AQF). Applications are assessed against these standards.
Where our admission criteria includes a minimum Weighted Average Mark (WAM) and/or specific subject criteria, these are based on University of Melbourne grades and subjects. If you've studied elsewhere, we'll assess your relevant prior studies and equivalent grades. Your final WAM may be adjusted depending on your previous institution's accreditation, subject grading, and pass marks.
Don't meet the prerequisite subject requirements?
You may have the option to enrol in specific single subjects through the University's Community Access Program, even if you are not enrolled in a course. Completing these prerequisite subjects may qualify you for entry into this course. This option is not available to student visa holders or applicants. Learn more about single subject study.
You can use our graduate coursework grade conversion eligibility calculator to get an indication of whether you are eligible for this course based on your previous studies and Weighted Average Mark (WAM).
English language requirements
All applicants to the University of Melbourne must satisfy the English language requirements. This may be achieved in a number of ways, including recognised previous study taught and assessed entirely in English or an approved English language test. If you are from a non-English speaking background, the required standard of English for this degree is one of the following English proficiency test scores:
- English language test score requirements
- If you need to undertake an English language test, you must meet one of the scores* below:
IELTS
6.5
with writing 6.0; speaking 6.0; reading 6.0; listening 6.0
TOEFL
81
with writing 19; speaking 19; reading 16; listening 16
PEARSON
64
with writing 60; speaking 60; reading 60; listening 60
CAMBRIDGE
169
with writing 170; speaking 179; reading 163; listening 163
LANGUAGECERT ACADEMIC
67
with writing 64; speaking 70; reading 60; listening 57
MET
58
with writing 57; speaking 48; reading 55; listening 56
*Accepted tests: IELTS (Academic English only); TOEFL Internet-based test; Pearson Test of English Academic; Cambridge English: Advanced/Certificate of Advanced English (CAE); LanguageCert Academic; Michigan English Test. If a test displays N/A, it is not accepted for this course.
About selection
When assessing (and where relevant, ranking) applications, the Selection Committee will consider:
- Prior academic performance
The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Selection and Admission Policy.
Meeting the minimum entry requirements for this course does not guarantee selection.
Additional information
If you do not meet prerequisite subject requirements, you may have the option to undertake an approved single subject via Coursera Online.
The below-listed courses are approved to satisfy the prerequisites requirements for the Master of Data Science.
You must undertake the course as Certificate Mode.
University-level computer science subject:
- Python for Everybody Specialization
- Learn to Program: The Fundamentals
- An Introduction to Interactive Programming in Python (Part 1)
MAST10006 Calculus 2:
MAST10007 Linear Algebra:
These subjects may not be approved to meet the same prerequisite requirements for other courses at the University, please refer to the study page for information relevant to other courses.
Graduate Access Melbourne (GAM)
We encourage domestic students to explore eligibility for Graduate Access Melbourne (GAM). GAM offers an opportunity for admission to this course even if your tertiary marks are below the standard entry requirements. GAM applicants may also be considered for financial bursaries and Commonwealth Supported Places (CSPs) where available.
GAM categories include coming from a rural area, being an Indigenous Australian, experiencing financial hardship or personal difficulties, having refugee status, or living with a disability or medical condition. In assessing applications, we look to balance opportunity and your capacity to succeed.
Advanced Standing
Prior studies may be credited towards your degree and potentially reduce the duration of your course. This is known as Advanced Standing (also known as credit or recognition of prior learning).
If you hold a Graduate Diploma in Data Science from the University of Melbourne, you may be eligible for up to 50 points of credit.
For additional, in-depth details on entry requirements and admissions for this course, refer to the University Handbook.
Need more information on the University’s general entry requirements?
How can we help?