Overview
The Master of Data Science at the University of Queensland stands out as one of Australia's most comprehensive programmes, designed to prepare graduates for the dynamic and rapidly evolving field of data science. This programme combines high-level analytical and technical skills with industry-specific knowledge, ensuring that students are not only proficient in data analysis but also equipped with essential professional attributes. The curriculum covers advanced topics in computing, statistics, and mathematics, along with a selection of electives from diverse fields such as business, finance, health, and science. This cross-disciplinary approach allows students to make informed decisions in data-intensive environments and equips them with the practical skills necessary to tackle complex challenges in data science.
Students will gain hands-on experience using relevant big data tools and technologies, while also developing a strong understanding of the ethical implications and legal considerations surrounding data usage. The programme culminates in a final year project that is directly relevant to industry needs, providing students with the opportunity to apply their learning in real-world scenarios.
With the increasing reliance on data across all sectors, the demand for skilled data scientists is at an all-time high. Graduates of the Master of Data Science will be well-prepared to enter various industries, including technology, government agencies, consulting firms, and market research companies, both in Australia and internationally. The programme is particularly beneficial for those looking to revolutionise the way organisations operate and communicate through data-driven insights.
Why Data Science at the University of Queensland?The University of Queensland is ranked first in Queensland for engineering and technology, as well as mathematics, according to the QS World University Rankings 2025. This prestigious reputation is complemented by state-of-the-art facilities, including a big data lab equipped with the latest tools and technologies, over 400 workstations across various operating systems, and more than 20 specialist computer labs that offer 24-hour access. These resources provide students with an unparalleled learning environment, fostering innovation and creativity in data science.
Tuition Fee BreakdownThe tuition fees for the Master of Data Science are as follows:
- Domestic students: AUD 8,180 per year
- International students: AUD 53,760 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme includes a range of courses designed to provide a robust educational foundation in data science:
- Introduction to Data Science
- Responsible Data Science
- Data Analytics at Scale
- Machine Learning
Graduates of the Master of Data Science can pursue various career paths, including:
- Data Scientist
- Market Researcher
- Risk Analyst
- Supply Chain Analyst
- Business Intelligence Analyst
- Data Miner
- Big Data Engineer
- Software Developer
- Actuarial and Analytics Consultant
With an average annual salary range of AUD 115,000 to AUD 135,000 for Data Scientists and AUD 120,000 to AUD 140,000 for Data Engineers, the programme offers a strong return on investment and excellent career prospects.
Programme Structure
Courses included:
- Responsible Data Science
- Data Analytics at Scale
- Statistical Methods for Data Science
- Data Science Capstone Project
- Machine Learning
- Database Principles
- Advanced Database Systems
- Probability Models & Data Analysis
Key information
Duration
- Full-time
- 18 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Brisbane, Australia
Disciplines
Data Science & Big Data View 55 other Masters in Data Science & Big Data in AustraliaWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- CRICOS CODE : 092454G
- Degree equivalent to an Australian bachelor degree in Mathematics or Statistics or Computing or related discipline, with significant studies in mathematics, statistics and computing and a GPA of at least 5.0 on a 7 point scale. Applicants must have completed a minimum of 3 mathematics courses, 2 statistics or probability courses and 3 computer science courses.
- Related disciplines include Information Technology, Computer Science, Statistics, Mathematics, Engineering, Physics, Actuarial Studies.
- English language requirements
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Queensland and/or in Australia, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents58056 AUD / year≈ 58056 AUD / year -
Domestic Applies to you
Applies to youCitizens or residents8915 AUD / year≈ 8915 AUD / year
Living costs
Brisbane
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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