Master of Combined Studies in Business Analytics / Information Technology in Networking
Macquarie University
CRICOS 0101509 · Provider 00002J
at Queensland University of Technology · Brisbane, Queensland
CRICOS course code
098601J
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
2 years
Tuition (whole course)
A$90,300 total
Per year
A$45,150/yr
Intake
Semester 1 (Feb/Mar), Semester 2 (Jul)
QUT's Master of Data Analytics in Brisbane prepares students to work with large and complex data sets by teaching core analysis, programming, and visualisation skills. Over two years of full-time study, you’ll gain technical knowledge in statistics, machine learning, database management, and practical data-driven decision-making. Students work through structured units, typically earning credit points for each unit completed, following the standard requirements for an Australian master's degree.
The course often includes options for real-world experience, such as industry-based projects or research, letting students apply theory to practical challenges faced by Australian organisations—especially relevant as Brisbane’s tech sector continues to grow. Units focus on both technical and communication skills, including data ethics and storytelling with data. In the final stages, there’s usually a capstone or research thesis, pulling all your learning together into an applied project.
This course suits those with backgrounds in IT, science, engineering, or maths who want to shift into data analytics roles or deepen their analytical expertise. You'll leave able to work with diverse tools, interpret complex information, and communicate findings to decision-makers. International students need to meet English proficiency requirements, with multiple test options accepted. Confirm specifics on the official QUT course page.
It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).
Tuition is around A$90,300 total. Fees change yearly — confirm with an advisor.
Data analyst roles in business, finance, and governmentBusiness intelligence positions in Australian corporationsMachine learning specialist in tech companiesData scientist for healthcare, education, and research institutionsRoles in analytics consultancies and start-upsOpportuni...
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