• a citizen of Australia or New Zealand,
  • an Australian permanent resident, or
  • a holder of an Australian permanent humanitarian visa.
  • You're an international student if you are:

  • intending to study on a student visa,
  • not a citizen of Australia or New Zealand,
  • not an Australian permanent resident, or
  • a temporary resident (visa status) of Australia.
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    Call us

    We have the answers to your postgraduate questions.

    Send an enquiry

    Email us, and we’ll get back to you as soon as possible.

    Enquire now

    Find an agent

    Find a UQ agent near you.

    How to apply How to apply

    How to apply

    It’s easy, but there are a few things to consider.

    Learn how to apply

    Ready to apply?

    Start today. Save for later if you need to.

    Start application

    Become job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.

    This is the most comprehensive data science program in Australia, combining high-level analytical and technical skills with industry-specific knowledge and essential professional attributes. It's also one of the few programs in the world to offer you a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.

    You'll study advanced topics from computing, statistics and mathematics, and your choice of electives from business, finance, health or science. Across the program, you'll learn how to make informed decisions in data-intensive environments.

    You'll use relevant big data tools and technologies and develop essential knowledge about the ethical use of data, legal considerations, communication and more. In your final year, you'll also complete projects relevant to industry.

    Since data underpins the digital economy, there are enormous opportunities for data scientists to revolutionise the way we work, live and communicate. With a Master of Data Science you'll be expertly prepared to work in Australia or overseas across a large number of industry sectors, government agencies and high technology companies, as well as consulting and market research firms.

    If you come from a business background, our Master of Business Analytics may be the program for you. While both programs address the function of data analytics, the Master of Data Science provides technical expertise, while the Master of Business Analytics will teach you how and why to make business decisions using data.

    State-of-the-art facilities

    The school is home to facilities including a big data lab with relevant tools and technologies; more than 400 Windows, Unix and Apple workstations; more than 20 specialist computer labs (including 10 with 24-hour access); and a university-wide 802.11ac Wi-Fi network.

    Location
    St Lucia
    Duration
    1.5 Years full-time (or part-time equivalent) 2 Years full-time (or part-time equivalent)
    Start Semester
    Semester 1 (23 Feb, 2026), Semester 2 (27 Jul, 2026)
    Program Code
    5660
    AQF
    Level 9
    Location
    St Lucia
    Fees
    A$58056
    Duration
    1.5 Years full-time (only available as full-time study) 2 Years full-time (only available as full-time study)
    Start Semester
    Semester 1 (23 Feb, 2026), Semester 2 (27 Jul, 2026) Semester dates for 2027 are yet to be confirmed
    Program Code
    5660
    CRICOS Code
    092454G
    AQF
    Level 9
    • Benefit from the most comprehensive data science program in Australia.
    • Study advanced topics from computing, statistics and mathematics.
    • Learn how to make informed decisions in data-intensive environments.
    • Graduate with a combination of high-level technical skills and a capacity for creative and disruptive thinking.

    Master of Data Science graduates will be expertly prepared to work in Australia or overseas across a large number of industry sectors, government agencies, and technology companies, as well as in consulting and market-research firms.

    In China alone, the market for big data is experiencing an annual growth of more than 30 per cent based on expenditure of 10 Billion RMB since 2015.

    The median salary of data scientists is typically reported in six-digit figures and in China it is reported to be 3.5 times higher than in comparable positions.

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    Entry requirements

    It's possible to complete this degree in 2 years or 1.5 years depending on your qualifications and experience.

    You can apply for any duration as long as you meet the entry requirements. You may also be eligible to apply for credit or exemptions to shorten your degree further. You'll graduate with the same qualification no matter how long you take to complete the degree.

    2-year degree (32 units of study)

    To be eligible to complete the degree in 2 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need:

    • a bachelor's degree (or equivalent) in a relevant discipline (see below), or
    • a bachelor's degree (or equivalent) which includes all of the relevant discipline content (see below), or
    • to have successfully completed 3 years of study towards an approved qualification at an overseas partner institution, with a formal pathway to the Master of Data Science.


    You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification

    1.5-year degree (24 units of study)

    If you have relevant prior learning or experience, you can reduce the number of courses you need to complete and graduate in less time.

    To be eligible to complete the degree in 1.5 years full-time (or part-time equivalent) full-time (only available as full-time study) , you'll need:

    • a bachelor's degree (or equivalent) in a relevant discipline (see below) with studies in at least 3 courses in mathematics, 2 courses in statistics or probability and 4 courses in computer sciences.


    You must have a grade point average (GPA) of 5.0 on a 7-point scale in your previous qualification

    Relevant disciplines include computer science, information technology, information systems, mathematics, engineering, physics, actuarial studies, science (majors in statistics, applied statistics, physics or mathematics) and data science.

    If your bachelor's degree was not awarded in a relevant discipline, you must have successfully completed the following discipline content in your tertiary studies (for entry into the 2 year degree only):

    • calculus or advanced mathematics or higher mathematics or mathematical analysis, and
    • at least 1 of the following content areas: linear algebra and statistics OR programming and databases

    IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ

    TOEFL iBT (including Paper Edition) - Overall 87, listening 19, reading 19, writing 21 and speaking 19.

    PTE Academic - Overall Score of 64 and 60 in all sub bands.

    BE - A minimum overall grade of 4 plus a minimum grade of C in all macro skills.

    CES - Overall 176 and 169 in all sub bands.

    OET is not accepted.