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'The course was structured well so that students were gradually introduced to new concepts. Also, the teaching team at QUT is extremely supportive, there were no unanswered questions and students were encouraged to ask lots of questions. The supportive environment made me feel comfortable, and I was able to learn concepts of statistics, and how to code.'
Master of Data Analytics student
Respond to industry demands
'I decided to study a Master of Data Analytics because as a software computer engineer, I discovered a growing industry demand for data science and analytics skills. I chose QUT because of its solid relationships with industry. The assignments and units are designed to prepare you for big challenges and tasks in the industry.'
Business Analysis Consultant
Tangible skills for the workforce
'The Master of Data Analytics has helped me develop statistical, computational and research skills to better inform research methods and data structuring and improve business and governance processes. I have had the opportunity to analyse real data sets from sources such as Queensland hospitals, international COVID-19 surveys and waste management in New South Wales, providing tangible skills I can take to the workforce.'
Master of Data Analytics student
Industry-relevant learning
'I chose QUT because of the university's commitment to providing real-world, industry-relevant learning experiences. Case studies and projects are often based on actual data and scenarios that provide a practical context to our studies, fostering critical thinking and problem-solving skills. The professors are not only experts in their fields but also genuinely invested in the success of their students. Their willingness to offer guidance and feedback fosters a nurturing and collaborative learning environment.'
Master of Data Analytics, International Merit Scholarship recipient
Tangible skills for the workforce
'The Master of Data Analytics has helped me develop statistical, computational and research skills to better inform research methods and data structuring and improve business and governance processes. I have had the opportunity to analyse real data sets from sources such as Queensland hospitals, international COVID-19 surveys and waste management in New South Wales, providing tangible skills I can take to the workforce.'
Master of Data Analytics student
Solving complex problems across fields
'I chose data science because I want to understand more advanced data analysis techniques and algorithms. By using these methods, I would like to have more insights in data, improve decision-making processes, and contribute to solving complex problems in various fields. My favourite parts of the course were problem-solving tasks like building machine learning models.'
Master of Data Analytics student
Sally's study journey
'The course was structured well so that students were gradually introduced to new concepts. Also, the teaching team at QUT is extremely supportive, there were no unanswered questions and students were encouraged to ask lots of questions. The supportive environment made me feel comfortable, and I was able to learn concepts of statistics, and how to code.'
Master of Data Analytics student
Respond to industry demands
'I decided to study a Master of Data Analytics because as a software computer engineer, I discovered a growing industry demand for data science and analytics skills. I chose QUT because of its solid relationships with industry. The assignments and units are designed to prepare you for big challenges and tasks in the industry.'
Business Analysis Consultant
In this course you will
- Immerse yourself in the postgraduate learning experience at Australia's leading research institution for data mining and analysis (The Australian Research Magazine 2024).
- Experience a capstone industry project with research training and learn from industry experts and research leaders.
- Obtain a cross-disciplinary education with specialisations in areas like computational data science, statistical data science, biomedical data science, and information systems analytics, with a flexible selection of units across those specialisations.
- Gain the empowering ability to transform data into valuable insights and actionable intelligence. This will enable you to drive change and make crucial decisions across various industries, putting your skills to practical use.
- Integrate knowledge from mathematics, statistics, computer science, information systems, biomedical data analytics, and business process management to be equipped to solve industry-specific problems.
The QUT Master of Data Science now offers Commonwealth Supported Places (CSP), making it over 60% more affordable. Eligibility criteria apply.
In this course you will
- Immerse yourself in the postgraduate learning experience at Australia's leading research institution for data mining and analysis (The Australian Research Magazine 2024).
- Experience a capstone industry project with research training and learn from industry experts and research leaders.
- Obtain a cross-disciplinary education with specialisations in areas like computational data science, statistical data science, biomedical data science, and information systems analytics, with a flexible selection of units across those specialisations.
- Gain the ability to transform data into valuable insights and actionable intelligence. This will enable you to drive change and make crucial decisions across various industries, putting your skills to practical use.
- Integrate knowledge from mathematics, statistics, computer science, information systems, biomedical data analytics, and business process management to be equipped to solve industry-specific problems.
Why choose this course?
- Be forward-looking and keep ahead of the curve. Initiate real change and influence crucial decisions by mastering the interpretation of the volume, variety, and speed of data we gather as a society.
- Our academics are world leaders in research-based in the QUT Centre for Data Science and have strong industry ties that ensure the relevance of teaching material and high-quality learning experiences for students.
- The QUT Master of Data Science now offers Commonwealth Supported Places (CSP), making it over 60% more affordable. Eligibility criteria apply.
Why choose this course?
Be forward-looking and keep ahead of the curve. Initiate real change and influence crucial decisions by mastering the interpretation of the volume, variety, and speed of data we gather as a society.
Our academics are world leaders in research based in the QUT Centre for Data Science and have strong industry ties that ensure the relevance of teaching material and high-quality learning experiences for students.
Real-world learning
The QUT Master of Data Science meets industry needs by integrating statistics, computer science, and business process management expertise to provide practical learning opportunities. In the QUT Master of Data Science, you will:
- build a significant project-based experience that allows you to apply your analytical skills to complex problem domains constructively
- experience applying high-order thinking strategies within data-rich contexts through synthesising multiple sources of information
- apply specialist abstraction and synthesis techniques to solve complex data analytics problems inspired by real-world scenarios.
Explore this course
This program will equip you for a dynamic career in the rapidly evolving field of data science. The interdisciplinary curriculum will cover theories and techniques, and you'll have the opportunity to apply your knowledge to predict, forecast, visualise, and make decisions across various practical contexts.
As a graduate of the QUT Master of Data Science, you will understand how data is ubiquitous in our society and value the need to act ethically, socially responsibly, and inclusively. You will have the skills to work in various industries, such as banking and finance, media and communications, business, health, education, information technology, engineering, agriculture, and mining.
As a job-ready graduate with a Master of Data Science, you will have the ability to demonstrate fundamental knowledge and skills in programming, data processing, and statistical modelling, and broad knowledge and skills in data analytics, data systems development and analysis, data-driven decision making as well as being specialised in areas of computational, statistical, biomedical data science, or information systems analytics. You will have developed technical skills in industry-standard analytics tools and, importantly, be able to apply these to unfamiliar applications and contexts. Throughout your degree, you will have engaged in authentic learning activities, project tasks, and work-integrated learning. As a result, you will have developed a range of capabilities and professional attributes that will be highly valued and sought after in the industry.
You'll delve into specialised topics such as computational data, statistical data science, biomedical data science, and information systems analytics. These areas feature advanced specialised content covering topics like machine learning at scale, advanced stochastic modelling, cyber security and governance, and business process automation.
Refer to the 'Details and units' tab for more information about each specialisation's course structure and units.
Careers and outcomes
As a graduate of the QUT Master of Data Science, you will be able to demonstrate fundamental knowledge and skills in programming, data processing, and statistical modelling and broad knowledge and skills in data analytics, data systems development and analysis, and data-driven decision-making. You'll have the skills to transform data into knowledge for any industry, including banking and finance, media and communications, health, education, information technology, engineering, agriculture, and mining.
Early exit
After completing the required units, there is an early exit option with the QUT Graduate Certificate in Data Science.
Possible careers
- Business analyst
- Business intelligence specialist
- Data analyst
- Data analytics specialist
- Data scientist
- Data systems developer
- Data-driven decision maker
To graduate with a Master of Data Science students are required to complete 192 credit points of course units consisting of:
- 108 credit points of core units (72 credit points of core units and 36 credit points of Capstone units)
- 84 credit points of Specialisation units consisting of:
- Up to 60 credit points of Specialisation Units, and
- At least 24 credit points of Advanced Specialisation Units
To graduate with a Master of Data Science students are required to complete 192 credit points of course units consisting of:
- 108 credit points of core units (72 credit points of core units and 36 credit points of Capstone units)
- 84 credit points of Specialisation units consisting of:
- Up to 60 credit points of Specialisation Units, and
- At least 24 credit points of Advanced Specialisation Units
- Course code
- IN31
- CRICOS code
- 116754E
-
- Gardens Point
-
- Gardens Point
- 2 years full-time
- 4 years part-time
- 2 years full-time
- February and July
- February and July
Entry requirements
2 year program
You must have a recognised bachelor degree (or higher qualification) in any discipline with a minimum grade point average (GPA) of 4.00 (on QUT's 7 point scale).
1.5 year program
You must have a recognised bachelor degree (or higher qualification) in information technology, mathematics, or biomedical science with a minimum grade point average (GPA) score of 4.00 (on QUT's 7 point scale).
Minimum academic requirements
Entry requirements
2 year program
You must have a recognised bachelor degree (or higher qualification) in any discipline with a minimum grade point average (GPA) of 4.00 (on QUT's 7 point scale).
1.5 year program
You must have a recognised bachelor degree (or higher qualification) in information technology, mathematics, or biomedical science with a minimum grade point average (GPA) score of 4.00 (on QUT's 7 point scale).
Minimum English language requirements
Select the country where you completed your studies to see a guide on meeting QUT’s English language requirements.
Your scores and prior qualifications in English-speaking countries are considered. Approved English-speaking countries are Australia, Canada, England, Ireland, New Zealand, Scotland, United States of America and Wales.
If your country or qualification is not listed, you can still apply for this course and we will assess your eligibility.
We accept English language proficiency scores from the following tests undertaken in a secure test centre. Tests must be taken no more than 2 years prior to the QUT course commencement.
| English Test | Overall | Listening | Reading | Writing | Speaking |
|---|---|---|---|---|---|
| IELTS Academic / IELTS One Skills Retake | 6.5 | 6 | 6 | 6 | 6 |
|
Cambridge English Score
You must share your results with QUT through the Candidate Results Online website. |
176 | 169 | 169 | 169 | 169 |
| PTE Academic | 58 | 50 | 50 | 50 | 50 |
| TOEFL iBT / Paper | 79 | 16 | 16 | 21 | 18 |
Don't have the English language score you need? We can help!
We offer English language programs to improve your English and help you gain entry to this course.
When you apply for this course, we will recommend which English course you should enrol in.
Your actual fees may vary depending on which units you choose. We review fees annually, and they may be subject to increases.
2025 fees
2025: CSP $8,900 per year full-time (96 credit points)
2025 fees
2025: $41,600 per year full-time (96 credit points)
Student services and amenities fees
You may need to pay student services and amenities (SA) fees as part of your course costs.
HECS-HELP: loans to help you pay for your course fees
You may not have to pay anything upfront if you're eligible for a HECS-HELP loan.
You can apply for scholarships to help you with study and living costs.
QUT Real World International Scholarship
A scholarship to cover tuition fees, with eligibility based on your prior academic achievements.
- Scholarship eligibility
- Academic performance
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