Defence Cyber and Space

Master of Data Science

  • Domestic
  • International
  • Duration

    2 years full-time or part-time equiv.
  • Start Dates

    January, May and September
  • Location

    North Terrace Campus
  • Duration

    2 years full-time or part-time equiv.
  • Start Dates

    January, May and September
  • Location

    North Terrace Campus

About Degree

A competitive edge in data science

Data is “the new oil” of the 21st century. Big data and data science are revolutionising many fields—from science and engineering to economics, the tech sector, and digital humanities.

Our Master of Data Science places you at the forefront of this new field.

We give you the knowledge and skills to discover patterns and generate insights from complex datasets. Our flexible program structure lets you customise your study to the areas you care about. You’ll be taught by international research leaders in data science and machine learning. Finally, you’ll apply your skills in a research project and data science industry internship, to launch you into your next career.

What will you do during a Master of Data Science?

  • Undertake a specialised introductory data science program in your first study period.
  • Build core skills in programming (Python, R, and Julia), mathematics and statistical data science.
  • Learn how data science techniques can drive changes in organisations, industries and communities.
  • Use data to answer questions in your chosen areas of interest.
  • Apply your learning in a significant research project or internship.

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 a Master of Data Science take you?

You might help large or small businesses use data to make more informed decisions in the face of uncertainty. You could analyse data to forecast trends and predict risk in industry, government, or science. Perhaps you’ll come up with innovative big data management systems as a data architect. Whatever you do, you’ll be at the cutting edge of one of the most rapidly-growing fields in the workforce right now.

This program is accredited by the Australian Computer Society (ACS)  .


Entry Requirements

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

  • Domestic
  • International

    Domestic applicants

    SATAC Code3CM203, 3CM246
    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 students4584.9%
    All students53100.0%


    International applicants

    CRICOS107542C
    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 students4584.9%
    All students53100.0%


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

Professional Accreditation

The Master of Data Science is accredited by the Australian Computer Society  .

Potential careers

Database Coordinator, Systems Analyst, Business Analyst, Business Consultant, Business Data Analyst, Computer Scientist, Data Analyst, Data scientist , Scientific Data Analyst, Financial Systems / Computer Analyst, Information Analyst, Information Technologist, Information and Communications Technologist


Degree Structure

The Master of 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 Master of Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 48 units comprising:

  • Five core courses to the value of 15 units
  • Up to five Set A elective courses to the value of 15 units
  • Two Set B elective courses to the value of 6 units
  • A Research Project course to the value of 12 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. 

Example Study Plan

Core courses (15 units total)
Students must complete all of the following



  • COMP SCI 7210  Foundations of Computer Science A
  • COMP SCI 7211  Foundations of Computer Science B
  • MATHS 7027  Mathematical Foundations of Data Science
  • MATHS 7107  Data Taming
  • STATS 7022  Data Science PG
Elective Set 1 (15 units total)

Option 1:
5 courses* (3 units each)

OR

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

  • COMP SCI 7212  Human and Ethical Factors in Computer Science
  • MATHS 7105  Data Literacy
  • COMP SCI 7314  Introduction to Statistical Machine Learning
  • MATHS 7103  Probability and Statistics
  • APP MTH 7124  Decision Science PG
  • COMP SCI 7318  Deep Learning Fundamentals
  • ENG 7111  Internship (6 units)
*Unless exempted international students are required to take ENG 7057  Communication & Critical Thinking in lieu of an elective.
Elective Set 2 (6 units total)
2 courses (3 units each)



  • COMP SCI 7417  Applied Natural Language Processing
  • COMP SCI 7306  Mining Big Data
  • COMP SCI 7317  Using Machine Learning Tools
  • COMP SCI 7209  Big Data Analysis and Project
  • STATS 7107  Statistical Modelling and Inference
  • PHIL 7005  Machine Learning and Artificial Intelligence
Research Project (12 units total)


  • MATHS 7097A  Data Science Research Project Part A (6 units)
  • MATHS 7097B  Data Science Research Project Part B (6 units)

Assessment

Students are required to undertake a research project, give a public presentation, and write a report on their research. The project is normally completed over two consecutive study periods.


RECOGNITION AND AFFILIATIONS

See More