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Master of Information Technology (Data Science)

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Course overview

Shape the future with data-driven thinking

The Master of Information Technology (Data Science) is built for those who want to solve real-world problems. You’ll develop T-shaped skills, giving you general IT knowledge paired with deep expertise in the field of data science. Across the course, you’ll learn to apply your knowledge with the use of tools like Python, R, SQL and Tableau to uncover insights, build models, and communicate actionable findings.

This fully online, ACS-accredited program is designed to fit around your schedule, with flexible entry options and advanced standing that can reduce your study time. You’ll gain hands-on experience through an industry project or industry research, applying your skills to a real data challenge and presenting your insights to stakeholders. In addition, you will have developed a range of professional attributes that are highly sought after by organisations.

Graduates are equipped to critically analyse complex data problems, apply industry-best practices, and communicate clearly across audiences. You’ll leave with a portfolio of work, strong leadership skills, and the confidence to create value in diverse professional settings, whether in business, government, or research.

Learn more about the Master of Information Technology (Data Science) with QUT Online.

Feb, Apr, Jul, Oct

Academic Calendar
Start Date

2 years full-time or part-time equivalent

Duration

AUD $ 19,400

Includes 70% off with CSP subsidy.
Fees in Detail
Estimated Total Fees

Domestic Student

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Entry Criteria

*Limited Commonwealth Supported Places (CSPs) available for domestic students only. Annual fees are subject to change and are dependent on selected units. For more information on CSPs, see below.

Course units

You must complete a total of 192 credit points.

The following core and option units have been proposed for 2026 and are subject to final approval (mid-October 2025). Please reach out to the Course Consultants if you have any questions at 1300 104 196

Programming Fundamentals

12 credit points

Rapid Web Development with Databases

12 credit points

Computer Systems and Security

12 credit points

Systems Innovation and Design

12 credit points

Complete 60 credit points of advanced core units

Machine Learning

12 credit points

Cyber Security and Governance

12 credit points

Software Lifecycle Management

12 credit points

Human-Centred Design of IT Systems

12 credit points

Introduction to Research

12 credit points

Select one capstone pathway (industry or research) and complete 36 credit points of study. Please note that the research pathway requires on-campus attendance.

Industry Project (Phase 1)

12 credit points

Industry Project (Phase 2)

12 credit points

Industry Project (Phase 3)

12 credit points

Complete 36 credit points of study. Please note, this is optional and provides a pathway to the PhD program. These units would be taken in place of the capstone units above (IFQ735, IFQ736-1 and IFQ736-2) and require on-campus attendance.

Industry Research Project (Phase 1)

12 credit points

Industry Research Project (Phase 2)

12 credit points

Complete three of the following units (36 credit points of study):

Introduction to Data Science

12 credit points

Machine Learning for Natural Language Processing

12 credit points

Advanced Machine Learning and Applications

12 credit points

Choose one of the following (12 credit points of study):

Data Analytics for Strategic Decision-Makers

12 credit points

Introduction to Statistics for Data Science

12 credit points

Entry requirements

You can gain entry into the Master of Information Technology (Data Science) with the following:

2-year program

  • A completed recognised bachelor’s degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale)

1.5-year program

  • A completed recognised bachelor’s degree (or higher) in information technology with a minimum GPA of 4 (on a 7-point scale)

or

  • A completed recognised bachelor’s degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale) plus 3 years FTE of professional work experience in information technology

or

  • A completed recognised Graduate Certificate in Information Technology with a minimum GPA of 4 (on a 7-point scale)

or

  • A completed QUT IQ14, IQ15, IQ16, IQ18, or IQ30 Graduate Certificate

1-year program

  • A completed recognised Graduate Diploma in information technology (in the same discipline as the planned IQ20 major) with a minimum GPA of 4 (on a 7-point scale)

or

  • A completed QUT IQ19 Graduate Diploma in Information Technology (in the same discipline as the planned IQ20 major)

Early exit options

Students who are enrolled in this course may be eligible to exit their course with a Graduate Certificate of Information Technology (IQ18) after successful completion of an approved 48 credit points of units, or a Graduate Diploma in Information Technology (IQ19) after successful completion of an approved 96 credit points of units.

Course outcomes

As a graduate of this course, you will demonstrate advanced knowledge in data science, with the ability to apply industry-standard tools and techniques to complex, data-rich environments. You’ll be equipped to critically analyse problems, design effective data-driven solutions, and communicate insights clearly to both technical and non-technical audiences. Alongside your technical skills, you’ll develop leadership, ethical awareness, and the ability to work independently and collaboratively across diverse professional contexts.

a student writing on their notebook

Skills and tools in this course

  • Demonstrate understanding of data science research principles and their application to real-world projects
  • An optional research stream can lead to a PhD entry for future academics
  • Demonstrate advanced specialist knowledge in the data science discipline
  • Demonstrate business acumen and well-developed values, attitudes, behaviours and judgements in professional contexts
  • Critically assess complex data science challenges and apply creative solutions.
  • Create positive change by addressing social, ethical, legal and cultural issues in data science, with awareness of First Nations and diverse perspectives

Potential career opportunities

Data scientist

Search for patterns throughout raw data to help provide insights into or solve real-world problems. Data scientists are employed in a range of fields, including finance, IT, public administration, health, and retail.

  • Average Salary

    $120,000

  • Industry Job Satisfaction of

    4/5

  • Industry Growth

    +11%

    Projected job growth in next 5 years

, 2026

Business analyst

Business analysts are responsible for reviewing and analysing business processes, creating efficiencies, leading project teams and communicating technical information back to the business.

  • Average Salary

    $115,000

  • Industry Job Satisfaction of

    4/5

  • Industry Growth

    +23.2%

    Projected job growth in next 5 years

, 2026

Business intelligence analyst

Use data to provide strategic guidance and improve the business performance of an organisation.

  • Average Salary

    $108,000

  • Industry Job Satisfaction of

    4.5/5

  • Industry Growth

    +23.2%

    Projected job growth in next 5 years

, 2026

Data analyst

Help organisations identify ways of reducing costs and find opportunities for growing revenue.

  • Average Salary

    $105,000

  • Industry Job Satisfaction of

    4/5

  • Industry Growth

    +23.2%

    Projected job growth in next 5 years

, 2026

How online study works

Learn in your own way

Experience the unwavering support of our university as you embark on your online learning journey.

  • Flexible and supportive options for your lifestyle
  • The easy application and enrolment process
  • Alignment with career aspirations

Ready to apply?

Apply online by filling out an application form, or speak to a course consultant on 1300 104 196.

Apply now
Download brochureContact us

We do have a shortened master’s program for eligible applicants. Please see the entry requirements for this course.

Any experience in the IT field could help you with this course; however, it is not essential to be successful.

Yes, CSPs are available for all Information Technology courses, including bootcamps. CSPs allow domestic students to have a significant portion of their university or higher education fees subsidised by the Australian government.

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If you’re not ready to apply or want to know more before you submit your application, you can request more information by calling us on 1300 104 196 or by completing our enquiry form.

Ready to apply?

Apply online by filling out our application form or speak to a Course Consultant on 1300 104 196.

Apply Now

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