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    Graduate Diploma in Foundational Data Science
    Go to University of Melbourne
    University of Melbourne

    Graduate Diploma in Foundational Data Science

    University of Melbourne

    University of Melbourne

    flag

    Australia, Melbourne

    University RankQS Ranking
    13

    Key Facts

    Program Level

    Graduate Diploma

    Study Type

    Full Time

    Delivery

    On Campus

    Course Code

    095994M

    Campuses

    Parkville

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesJanuary-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    AUD 56,992  / year
    Next Intake January-2026

    Graduate Diploma in Foundational Data Science

    About

    Overview

    From January 2025, this course will be renamed to Graduate Diploma in Foundational Data Science. All students who commence this program in 2025 will enter under the new course name.

    The Harvard Business Review has labelled data science the "sexiest job of the 21st century".

    We're creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.

    The Graduate Diploma in Foundational Data Science is an ideal starting point if you’re interested in joining this booming industry and don't have a background in computer science or statistics.

    Your first step towards a new career

    Through this course you’ll develop fundamental skills in both computer science and statistics, so you can keep pace with the rapidly changing demands of a data-driven job market – and world.

    You’ll be shown how to use statistical tools, techniques and methods along with in-depth analysis and evaluation, learning to solve real-world problems in the data realm.

    Option to transition into the Master of Data Science

    When you successfully complete the Graduate Diploma, you can supercharge your qualification by enrolling in the Master of Data Science (subject to meeting the requirements).

    You’ll receive course credit, meaning that you can complete both the Graduate Diploma and the Master of Data Science in just 2.5 years.

    Requirements

    Entry Requirements

    Admission criteria

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

    Meeting the published entry requirements for this course does not guarantee selection.

    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 requirements
    • If you need to undertake an English language test, you must meet one of the scores* below:

      IELTS

      6.5


      with no band less than 6.0

      TOEFL

      79+


      with writing 21; speaking 18; reading 13; listening 13

      PEARSON

      64+


      with no communicative skill below 60

      CAMBRIDGE

      176+


      with no skill less than 169
      *Accepted tests: IELTS (Academic English Only); TOEFL Internet-based test; Pearson Test of English Academic; Cambridge English: Advanced/Certificate of Advanced English (CAE). If a test displays N/A, it means it is not accepted for this course.

    About selection

    When assessing applications, the Selection Committee will consider your previous studies and academic performance.

    The Selection Committee may request additional information to clarify any aspect of an application, according to the University’s Academic Board rules regarding selection instruments.

    Meeting the published entry requirements for this course does not guarantee selection.

    English Program 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 no band less than 6.0

    TOEFL

    79+


    with writing 21; speaking 18; reading 13; listening 13

    PEARSON

    64+


    with no communicative skill below 60

    CAMBRIDGE

    176+


    with no skill less than 169
    *Accepted tests: IELTS (Academic English Only); TOEFL Internet-based test; Pearson Test of English Academic; Cambridge English: Advanced/Certificate of Advanced English (CAE). If a test displays N/A, it means it is not accepted for this course.
  • Career

    Further study

    This course is the perfect preparation for the Master of Data Science.

    When you successfully complete the Graduate Diploma with a weighted average mark of above 65%, you'll be eligible to apply for the Master of Data Science, receiving up to 50 credit points of advanced standing. This means that you can complete both the Graduate Diploma in Foundational Data Science and the Master of Data Science in just 2.5 years of study.

    Career outcomes

    Data science graduates go on to work as: data scientists and analysts, business intelligence analysts, software engineers, data infrastructure engineers, and statisticians.

    Employers in this field include:

    • Consulting firms such as EY, KPMG and Accenture
    • Financial services companies including ANZ, CBA and NAB
    • IT corporates such as IBM, Microsoft and Telstra
    • Universities and public research institutions such as the CSIRO

    Technical and professional skills

    On graduating from the course you’ll have a broad education in the use of statistical and computational tools to make sense of big data. Additionally, you'll develop the following technical and professional skills:

    • Problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies
    • Analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis
    • Time management skills: the ability to meet regular deadlines while balancing competing commitments
    • Programming and computing skills: the ability to use statistical computing packages and implement algorithms.

    Fee Information

    Tuition Fee

    AUD 56,992 

    Application Fee

    AUD  
    University of Melbourne

    Graduate Diploma in Foundational Data Science

    University of Melbourne

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    Australia,

    Melbourne

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