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Graduate Diploma in Data Science

  • Domestic
  • International
  • Duration

    1 year full-time or part-time equiv.
  • Start Dates

    January, May and September
  • Location

    North Terrace Campus
  • Duration

    1 year full-time or part-time equiv.
  • Start Dates

    January, May and September
  • Location

    North Terrace Campus

About Degree

Drive higher-level data insight

Data science is a driving force throughout society the world over—from business and industry to health science and social justice. It is currently one of the fastest-growing professions in Australia, with matching demand for data scientists in the workforce.

Data scientists are uncovering trends and preferences, informing policies, and enabling evidence-based solutions to complex problems. Career opportunities abound—and our Graduate Diploma in Data Science will equip you to play a valuable role.

What will you do?

You will:

  • gain deep understanding of data science content, technologies and practices, and how the discipline can inform organisational change
  • build high-level skills in evaluating, developing and applying best-practice analytics tools and techniques—including distributed computing—in real-world settings
  • deepen your awareness of data science’s social and ethical aspects
  • develop strong presentation and visualisation skills to effectively communicate data patterns and relationships
  • learn to use data science to solve complex industry and social problems collaboratively and independently—including in your intended or existing domain.

Supporting the diploma’s alignment with real-world workplace practice, all assessment will be project- and assignment-based.

How will you study?

This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you. For further information, see the Degree Structure section. 

Where could it take you?

You’ll graduate well prepared to take on senior data science roles in your chosen industry, anywhere around the globe. You will also have the option of completing an additional 24 units of advanced study to obtain your data science Master.


Entry Requirements

Choose your applicant type to view the relevant admissions information for this program.I am a:

  • Domestic
  • International

    Domestic applicants

    SATAC Code3GD124
    DefermentYes - 2 year
    IntakeJanuary, May and September
    PrerequisitesSACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL)

    MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
    Selection Criteria
    Graduate entry


    Higher Education StudyA completed Bachelor's degree and a minimum GPA of 4.5


    Student Profile
    Applicant backgroundSemester one/Full year intake 2022
    Number of studentsPercentage of all students
    International studentsN/AN/A
    All students1100.0%


    International applicants

    CRICOS107543B
    IntakeJanuary, May and September
    Australian Year 12SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL)

    MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods.
    International QualificationsMathematics
    Selection Criteria
    English Language Requirements

    Australian Year 12Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject
    English Tests accepted by the University of APSB
    IELTSOverall 6.5Reading 6Listening 6Speaking 6Writing 6





    TOEFLOverall 79Reading 13Listening 13Speaking 18Writing 21





    PearsonOverall 58Reading 50Listening 50Speaking 50Writing 50





    C1 AdvancedOverall 176Reading 169Listening 169Speaking 169Writing 169





    Qualifications that meet minimum English requirementsA range of alternative qualifications may meet the University’s minimum English requirements
    Academic Entry Requirements

    Detailed information on international qualifications assessment

    Tertiary QualificationsBachelor degree or equivalent with a GPA of 4.5
    How to Apply
    Application information for international students
    Important application deadlines for international students

    Student Profile
    Applicant backgroundSemester one/Full year intake 2022
    Number of studentsPercentage of all students
    International studentsN/AN/A
    All students1100.0%


Fees and Scholarships

Choose your applicant type to view the relevant fees and scholarships information for this program.I am a:

  • Domestic
  • International

    Domestic applicants

    Indicative annual tuition fees
    Australian Full-fee place: $41,000

    Where the standard duration of the program is less than one year the full cost of the program is displayed.

    Scholarships

    These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.


    International applicants

    Indicative annual tuition fees (24 units)International student place: $48,500

    Where the standard duration of the program is less than one year the full cost of the program is displayed.

    More information on International Student tuition fees.

    Scholarships

    These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.


Careers

Potential careers

Business Data Analyst, Computer Programmer, Computer Scientist, Data Analyst, Data scientist , Scientific Data Analyst, Financial Systems / Computer Analyst, Systems Analyst, Information Analyst


Degree Structure

The Graduate Diploma in Data Science is ideal for those students who have a background/qualifications in any professional field and are looking to upskill in this exciting, high-demand area. The curriculum has been designed to include all of the necessary computer science foundations for students to succeed. Students with relevant qualifications or experience can apply for advanced standing*.

To qualify for the Graduate Diploma in Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 24 units comprising:

  • Three core courses to the value of 9 units

  • Up to five elective courses** to the value of 15 units

*For further information, please contact one of our friendly program advisors.

**Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.


Study mode

This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you*.

  • Accelerated mode – 12 units (4 courses) per trimester

  • Standard full-time mode – 24 units (8 courses) per year

  • Part-time mode – 3 or 6 units (1 or 2 courses) per trimester

You can even choose the study load that works best for you at different times of the year.

Whatever mode you choose, our interactive blend of online and face-to-face learning supports you in fitting your study around other commitments—without compromising on authentic and immersive learning experiences.

*International students please note: accelerated study modes are subject to visa conditions. Please contact one of our friendly program advisors for more information.

Academic Program Rules

The Calendar is a comprehensive handbook of the University's academic program rules.

Graduate Diploma in Data Science

Example Study Plan

Core course (9 units total)
Students must complete all of the following

  • COMP SCI 7210  Foundations of Computer Science A
  • MATHS 7027  Mathematical Foundations of Data Science
  • MATHS 7107  Data Taming
Electives (15 units total)

Option 1:
5 courses* (3 units each)

OR

Option 2:
3 courses* (3 units each) plus ENG 7111  Internship (6 units)

  • APP MTH 7124  Decision Science PG
  • COMP SCI 7211  Foundations of Computer Science B
  • COMP SCI 7212  Human and Ethical Factors in Computer Science
  • COMP SCI 7314  Introduction to Statistical Machine Learning
  • COMP SCI 7318  Deep Learning Fundamentals
  • ENG 7111  Internship (6 units)
  • MATHS 7103  Probability & Statistics PG
  • MATHS 7105  Data Literacy
*Unless exempted, international students are required to take ENG 7057  Communication & Critical Thinking in lieu of an elective.


RECOGNITION AND AFFILIATIONS

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