Master's Degree Information Technology Full Time

Master of Data Science

at Queensland University of Technology · Brisbane, Queensland

CRICOS course code

116754E

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$89,500 total

Per year

A$44,750/yr

Intake

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

About this program

The Master of Data Science at Queensland University of Technology (QUT) is a two-year postgraduate degree based in Brisbane, designed for those seeking to develop specialist skills in data analytics, statistics, and advanced computational methods. Students learn to extract, analyse, and interpret data to help organisations make decisions across sectors like health, business, and science. It’s ideal for graduates of IT, mathematics, engineering, or similar fields looking to specialise further.

The course structure generally follows a semester-based calendar and includes a set of core units, electives chosen from specific areas, and a capstone project—giving students the opportunity to apply their learning to real-world problems, often in partnership with industry or research groups. Throughout the programme, students build proficiency in data mining, machine learning, data visualisation, data management, and programming languages relevant to data science. In later stages, a research thesis or industry-based project may be required, depending on the student's chosen path.

Many units are practical and include work-integrated learning opportunities, where students collaborate with industry professionals or participate in internships. QUT maintains strong connections to the Australian technology and research sectors, particularly in Queensland’s growing digital economy. This means students may engage on projects with established companies or startups during their studies.

Coursework is structured around the Australian Qualifications Framework (AQF) master’s level, and students typically complete a certain number of credit points by enrolling in designated units of study. English language requirements follow Australia-wide standards and should be confirmed via the official QUT admissions pages. Work rights allow international students to engage in up to 48 hours of paid work per fortnight while enrolled, and graduates may be eligible for the Temporary Graduate visa (subclass 485) under the post-study work stream, if other criteria are met.

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 private and public sectors
Data scientist in technology, finance, health, and research organisations
Business intelligence developer
Machine learning engineer
Data engineer working with Australian technology firms
Analytics consultant supporting Australian businesses and government

Frequently asked questions

How long is the Master of Data Science at Queensland University of Technology?

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

How much is the tuition?

Tuition is around A$89,500 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data analyst in private and public sectorsData scientist in technology, finance, health, and research organisationsBusiness intelligence developerMachine learning engineerData engineer working with Australian technology firmsAnalytics consultant supporting Australian businesses a...

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