Master's Degree Information Technology Full Time

Bachelor of Information Technology / Master of Data Analytics

at Queensland University of Technology · Brisbane, Queensland

CRICOS course code

114461A

CRICOS provider code

00213J

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

4 years

Tuition (whole course)

A$159,900 total

Per year

A$39,975/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Bachelor of Information Technology / Master of Data Analytics at Queensland University of Technology (QUT), offered in Brisbane, is an integrated double degree that combines undergraduate and postgraduate study across four years. The course begins with a focus on core principles of information technology, including programming, systems analysis, networking, and database design. As students progress, elective units allow for exploration of areas such as software development, cybersecurity, or user experience, all counted as units of study with designated credit points. The master's component shifts to advanced topics in data analytics, such as big data management, machine learning, and data visualisation, with a focus on applying these skills to solve real-world problems.

Australian degrees like this are structured across semesters, with each unit of study contributing towards the credit point total required to graduate. Study at QUT often includes a capstone project or research thesis in the final year, bringing together skills gained throughout the course to address industry-relevant challenges. Work-integrated learning is a strong feature of IT degrees in Australia, and students may have opportunities for professional placements with businesses, government agencies, or tech start-ups in Brisbane or beyond.

Graduates gain practical experience using current industry tools and platforms, as well as skills in problem-solving, critical thinking, and communication. The course suits students who want a deep dive into both IT fundamentals and the emerging field of data analytics. It is designed for those interested in roles that sit at the intersection of technology and data-driven decision-making.

International students can expect to meet English requirements through a range of accepted tests or university-run programs. While studying, students are allowed to work up to 48 hours per fortnight, and after graduation, they may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream. For full details and up-to-date requirements, students should check QUT’s official page.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Data analyst in business, finance, health, or government sectors
Business intelligence developer for enterprise organisations
Software developer in technology companies or consultancies
IT project manager
Machine learning specialist in research or industry
Systems analyst in Australian corporations or government agencies

Frequently asked questions

How long is the Bachelor of Information Technology / Master of Data Analytics at Queensland University of Technology?

It typically takes 4 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$159,900 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data analyst in business, finance, health, or government sectorsBusiness intelligence developer for enterprise organisationsSoftware developer in technology companies or consultanciesIT project managerMachine learning specialist in research or industrySystems analyst in Australia...

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