QUT Bachelor Eng (Hons)/Master Data Analytics | Brisbane
QU Queensland University of Technology logo
Master's Degree Data Analytics Full Time

Bachelor of Engineering (Honours) / Master of Data Analytics

at Queensland University of Technology · Brisbane, Queensland

CRICOS course code

114470M

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

5 years

Tuition (whole course)

A$256,000 total

Per year

A$51,200/yr

Intake

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

About this program

Queensland University of Technology’s Bachelor of Engineering (Honours) / Master of Data Analytics is a combined degree based in Brisbane. Over five years, students complete an undergraduate engineering honours degree alongside an integrated master’s specialising in data analytics. The structure is set up so you complete a series of core engineering units, electives, and a discipline-specific honours thesis, before progressing to advanced data analytics coursework and an applied capstone project at the master's level. Each subject is a unit of study and carries specific credit points towards graduation requirements.

The engineering honours component covers fundamentals and major choices like civil, electrical, or mechanical engineering, including practical labs and real-world design projects. That’s backed by project management and problem-solving skills sought by Australian employers. In your final bachelor year, you undertake an honours research project. The data analytics units start with statistical analysis, database systems, and programming, then move into big data, machine learning, and advanced industry applications. A master’s project or internship provides hands-on experiences, often in partnership with local Brisbane companies or QUT’s research groups.

Work-integrated learning is embedded throughout. Students in engineering usually spend time in industry placements with Australian firms, and the analytics capstone often connects students with live business problems from QUT’s industry partners. This combined degree suits those who want strong technical engineering skills with advanced data analytics for roles in sectors like transport, energy, infrastructure, consulting, or digital tech. Graduates finish with two qualifications and professional experience valued by Queensland and national employers.

International students must meet English requirements, such as an IELTS Academic 6.5 overall. Work rights of 48 hours per fortnight during study let you gain experience in Brisbane’s engineering and tech sectors. Upon completion, graduates may be eligible for the Temporary Graduate visa (subclass 485) through the post-study work stream. For precise credit point structure, placement details, and recognition arrangements, check the official QUT and CRICOS pages.

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 or data scientist in engineering consultancies, infrastructure, health, or business analytics
  • Graduate engineer (civil, mechanical, electrical or other fields) in Australian construction, manufacturing, or utilities
  • Machine learning or AI specialist in digital technologies and IT services
  • Project manager or consultant for smart infrastructure and intelligent transport systems
  • Researcher or technical specialist in government agencies and applied R&D

Frequently asked questions

How long is the Bachelor of Engineering (Honours) / Master of Data Analytics at Queensland University of Technology?

It typically takes 5 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$256,000 total. Fees change yearly, confirm with an advisor.

What are the career outcomes?

Data analyst or data scientist in engineering consultancies, infrastructure, health, or business analyticsGraduate engineer (civil, mechanical, electrical or other fields) in Australian construction, manufacturing, or utilitiesMachine learning or AI specialist in digital technolo...

Guides for this subject and the application

All guides →

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