Graduate Coursework

Graduate Diploma in Foundational Data Science

  • Course code: GD-FDATASC
Clock
Duration
1 year full time / 2 years part time
Location
Mode (Location)
On campus (Parkville)
Calendar-month
Intake
Dollar
Fees
AUD $44,992 (2026 indicative first year fee). Commonwealth Supported Places (CSPs) are not available
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Admission criteria

To be considered for entry into this course, you must have:

Where degree levels are referenced, levels align with the Australian Qualifications Framework (AQF). Applications are assessed against these standards.

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.

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 requirementsChevron-down
  • 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 the subject prerequisites, 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 Graduate Diploma in Foundational Data Science.

You must undertake the course as Certificate Mode. 

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.

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).

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?