Master of Data Science CRICOS 116754E QUT

Master of Data Science (CRICOS course code 116754E) at Queensland University of Technology (QUT)

Master of Data Science (CRICOS course code 116754E) is a Masters Degree (Coursework) delivered by Queensland University of Technology (QUT) over 2 years. This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students (CRICOS), ensuring it meets Australian Government standards for international education. QUT, a government university with CRICOS provider code 00213J, offers this program at its Gardens Point campus in Brisbane, Queensland. As Australia’s leading hub for data science and IT innovation, Brisbane provides a dynamic environment for students. With over 1,556 CRICOS-registered providers and 26,433 courses available across Australia, HeadStart Academy helps you navigate your study options. This page provides detailed information on fees, entry requirements, and visa pathways for the Master of Data Science at QUT. Whether you are planning a career in data analytics, machine learning, or big data, this course equips you with advanced skills. Remember, all data is sourced from the official CRICOS register as at April 2026.

All listed providers are CRICOS-registered with the Australian Government
Data sourced directly from the official CRICOS register (April 2026)
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Course Overview

The Master of Data Science (CRICOS 116754E) is a 2-year full-time coursework degree at AQF Level 9. It falls under the field of Information Technology (code 029999 - Information Technology, n.e.c.). This program is designed for graduates seeking advanced expertise in data science, including statistical analysis, machine learning, and data management. QUT is a leading Australian university known for its industry connections and research output. As a CRICOS-registered provider, QUT complies with the Education Services for Overseas Students (ESOS) Act, ensuring international students receive quality education and consumer protections. The course is delivered in English, and there is no mandatory work component. Students benefit from Brisbane’s thriving tech scene, with numerous startups and multinational companies. HeadStart Academy provides this information as a free resource — no referral fees, no commissions. Always verify current course details with QUT directly.

What You'll Study

The Master of Data Science covers advanced topics in information technology with a focus on data analytics, machine learning, and statistical modelling. While specific units are set by QUT, graduates typically gain skills in data mining, predictive analytics, and big data technologies. The field of education (029999 - Information Technology, n.e.c.) encompasses a broad range of IT specialisations, and at the Masters level, students engage in research-informed coursework and projects. This degree prepares you for roles such as data scientist, data engineer, or analytics manager. Brisbane, the capital of Queensland, hosts over 100 CRICOS-registered providers, offering students diverse study options. The city’s cost of living is generally lower than Sydney or Melbourne, with indicative weekly rent around $300-$450 for a share house. Public transport to QUT’s Gardens Point campus is excellent via bus and ferry. Always check QUT’s official website for the latest curriculum.

Duration and Study Mode

The Master of Data Science is a 2-year (104-week) full-time program. The language of instruction is English. It is a single qualification, not a dual award. This course does not include foundation studies. The CRICOS register confirms the duration as 104 weeks, which is standard for a Masters Degree (Coursework) in Australia. QUT may offer part-time options for domestic students, but international students must maintain full-time enrollment to comply with student visa conditions. The campus at Gardens Point in Brisbane is well-equipped with modern facilities. Brisbane has a student population of over 150,000 international students, making it a multicultural study destination. The city enjoys a subtropical climate with mild winters. For those considering relocation, typical living costs (excluding tuition) are around AUD 21,000 per year, covering accommodation, food, and transport. These are estimates; actual costs vary.

Fees (Indicative)

The indicative tuition fee for the Master of Data Science is AUD 89,500 for the full program. Non-tuition fees (such as student services and amenities) are approximately AUD 1,800, bringing the estimated total to AUD 91,300. These figures are sourced from the CRICOS register as at April 2026 and are set by Queensland University of Technology (QUT). Note that fees are subject to change, and you should confirm with QUT before applying. Additional costs not included are Overseas Student Health Cover (OSHC), which is mandatory for student visa holders (approximately AUD 600-800 per year for single cover), living expenses (AUD 21,000 per year as per Department of Home Affairs), and the visa application charge (currently AUD 1,600 for Subclass 500). HeadStart Academy advises budgeting carefully. For the most accurate and up-to-date fee information, visit QUT’s official website. All listed providers are CRICOS-registered, ensuring fee transparency and ESOS Act protections.

Entry Requirements (General Guidance)

The Master of Data Science typically requires a bachelor’s degree in a relevant field (e.g., IT, mathematics, engineering) with a minimum GPA. English language proficiency is essential, with an IELTS score of 6.5 to 7.0 overall (or equivalent) commonly required. Some students may need to complete pathway programs if their prior qualifications are not in a related discipline. QUT offers foundation or bridging courses for some fields; check directly with the university. Other English tests like TOEFL or PTE are also accepted. International students must provide evidence of English proficiency when applying. Additionally, meeting academic entry requirements does not guarantee admission; QUT assesses each application holistically. HeadStart Academy recommends reviewing entry criteria on QUT’s website and consulting with the university’s admissions team. For visa purposes, you must demonstrate genuine temporary entrant (GTE) status and financial capacity to cover tuition, living costs, and OSHC.

Work Component

This course has no mandatory work component. However, as a student visa holder (Subclass 500), you are eligible to work up to 48 hours per fortnight during study periods and unlimited hours during scheduled breaks, subject to visa conditions. This work right allows you to gain experience and supplement income. Brisbane’s job market offers opportunities in retail, hospitality, and tech internships. While the course itself does not include a placement, QUT’s career services can help you find relevant work. Remember that work must not compromise your study commitments. The ESOS Act ensures your education is protected, and working too many hours may affect your student visa compliance. For detailed work rights, refer to the Department of Home Affairs.

Delivery Locations

The Master of Data Science is delivered at QUT’s Gardens Point campus in Brisbane, Queensland. Brisbane is a vibrant city with over 2.5 million residents, including a large international student community. The city has more than 100 CRICOS-registered providers offering thousands of courses. Gardens Point is located in the Brisbane CBD, close to public transport (train, bus, ferry). Living costs in Brisbane are moderate: average weekly rent for a one-bedroom apartment in the city is around AUD 400-550, while share houses range from AUD 200-350 per week. Groceries cost about AUD 80-150 per week, and a public transport weekly pass is approximately AUD 50. The campus itself is modern, with access to libraries, computer labs, and student support services. Choosing Brisbane offers a balance of study and lifestyle, with easy access to Gold Coast beaches and Queensland’s natural attractions.

Student Visa Considerations

International students need a Student visa (Subclass 500) to study this course full-time in Australia. Key requirements include: a Confirmation of Enrolment (CoE) from QUT, genuine temporary entrant (GTE) evidence, English proficiency, financial capacity (tuition + living costs + OSHC + travel), and OSHC health cover. OSHC is mandatory and covers medical and hospital costs. The visa allows work up to 48 hours per fortnight during term and unlimited hours during holidays. After graduation, you may be eligible for a Temporary Graduate visa (Subclass 485) to work in Australia. HeadStart Academy does not provide migration advice; always consult a registered MARA agent or the Department of Home Affairs for visa matters. The student visa application fee is currently AUD 1,600. Ensure you meet all criteria before applying. ESOS Act protections apply to your course, ensuring tuition fee refunds in certain circumstances if your provider fails to deliver.

How to Apply

Follow these three steps to apply for the Master of Data Science at Queensland University of Technology (QUT):

1. **Research CRICOS-registered providers**: Use HeadStart Academy to explore courses and providers. Filter by course level, field (Information Technology), and location (Brisbane). Confirm that QUT (CRICOS 00213J) is registered and the course code 116754E is current.

2. **Apply directly to your chosen institution**: Visit QUT’s official website (www.qut.edu.au) to review entry requirements, English language tests (IELTS, TOEFL, PTE), and application deadlines. Prepare your academic transcripts, passport, and English test results. Submit an online application through QUT’s international admissions portal.

3. **Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500)**: If accepted, QUT will issue a CoE. Use this to apply for your student visa online via the Department of Home Affairs. Provide GTE statement, OSHC confirmation, and evidence of funds. Wait for visa grant before travelling to Australia.

HeadStart Academy provides this guide free of charge. For personalised assistance, contact QUT directly or a registered education agent.

Start your application journey today with HeadStart Academy — your free guide to studying in Australia.

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Source-backed course facts

Master of Data Science is a CRICOS-registered programme at Queensland University of Technology (QUT). Use this register extract [CRICOS register, Apr 2026] to cross-check codes, duration and indicative fees before you apply.

CRICOS register extract

Course
Master of Data Science
CRICOS course code
116754E
Provider
Queensland University of Technology (QUT) (00213J)
Course level
Masters Degree (Coursework)
Field of education
02 - Information Technology
Duration
104 weeks
Tuition (indicative)
A$89,500
Estimated total (indicative)
A$91,300
Delivery locations
BRISBANE
Work component
No

This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.

Important notes for international students

  • Tuition and living-cost figures on this site are indicative only — confirm current fees with the provider before you accept an offer.
  • HeadStart Academy is not a registered migration agent and does not provide immigration advice. For Student visa (Subclass 500) rules, OSHC and financial capacity, verify with the Department of Home Affairs or a registered MARA agent.
  • Only CRICOS-registered providers may enrol overseas students. Always check the CRICOS course and provider codes on your offer and Confirmation of Enrolment (CoE).

Related pages

Frequently Asked Questions

The indicative total tuition fee is AUD 89,500, with non-tuition fees of approximately AUD 1,800, bringing the estimated total to AUD 91,300. These figures are sourced from the CRICOS register as at April 2026 and are subject to change by QUT. Additional costs include OSHC (approx. AUD 600-800 per year), living expenses (approx. AUD 21,000 per year), and visa application charges. Always confirm current fees with QUT directly.
The Master of Data Science at QUT is a 2-year full-time program, comprising 104 weeks according to the CRICOS register. It is a Masters Degree (Coursework) at AQF Level 9. There is no part-time option for international students due to visa conditions. The course is delivered in English at the Gardens Point campus in Brisbane.
Generally, you need a bachelor’s degree in a relevant field (such as IT, mathematics, or engineering) with a satisfactory GPA. English proficiency is required, typically IELTS 6.5-7.0 overall (or equivalent). Some applicants may need to complete pathway programs. QUT assesses each application individually. Check QUT’s official website for precise entry criteria.
The course is delivered at QUT’s Gardens Point campus in Brisbane, Queensland. Brisbane is a major student city with over 100 CRICOS-registered providers. The campus is centrally located near public transport. Living costs in Brisbane are moderate, with average weekly rent of AUD 300-550. The city offers a high quality of life with many recreational and cultural activities.
CRICOS lists estimated total fees of A$91,300 for Master of Data Science (tuition A$89,500). Figures are indicative as at the April 2026 register snapshot — confirm current fees with Queensland University of Technology (QUT) before applying.
The CRICOS course code is 116754E, offered by Queensland University of Technology (QUT) (provider code 00213J). Use these codes when checking your offer and CoE.