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.'

Xiangrun Zhu (Sally)
Master of Data Analytics student

Respond to industry demands

'I decided to study a Master of Data Science 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.'

Bahar Shahrestanaki
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.'

Valeria Ruiz Acre
Master of Data Analytics student
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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.'

Xiangrun Zhu (Sally)
Master of Data Analytics student

Respond to industry demands

'I decided to study a Master of Data Science 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.'

Bahar Shahrestanaki
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.'

Valeria Ruiz Acre
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.'

Phuong Anh Do, Vietnam
Master of Data Analytics, International Merit Scholarship recipient

Read more of Phuong Anh's story

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.'

Valeria Ruiz Acre
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.'

Fiona Ho, Hong Kong
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.'

Xiangrun Zhu (Sally)
Master of Data Analytics student

Respond to industry demands

'I decided to study a Master of Data Science 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.'

Bahar Shahrestanaki
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 2025).
  • 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 2025).
  • 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.

Don’t wait. Apply now
Start study in July

Shape the future, sooner, with mid-year entry.

Apply for mid-year entry

Don’t wait. Apply now
Start study in July

Shape the future, sooner, with mid-year entry.

Apply for mid-year entry

Subsidised fees available

This course is one of many Commonwealth Supported Places QUT have secured to make postgraduate study more affordable and accessible. Make an even bigger difference by studying a course that is in tune with your classroom and your career.

Why choose this course?

  1. 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.  
  2. 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.  
  3. 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

What to expect

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

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

Details and 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 

Specialisation areas:

  • Biomedical Data Science
  • Computational Data Science
  • Information Systems Analytics
  • Statistical Data Science

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 

Specialisation areas:

  • Biomedical Data Science
  • Computational Data Science
  • Information Systems Analytics
  • Statistical Data Science

Requirements

Course code
IN31
CRICOS code
116754E
Delivery
  • Gardens Point
Delivery
  • Gardens Point
Duration
2 years full-time
4 years part-time
Duration
2 years full-time
Entry
February and July
Entry
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
IELTS Academic / One Skill Retake
Overall 6.5
Listening 6
Reading 6
Writing 6
Speaking 6
Cambridge English Score
You must share your results with QUT through the Candidate Results Online website.
Overall 176
Listening 169
Reading 169
Writing 169
Speaking 169
PTE Academic
Overall 58
Listening 50
Reading 50
Writing 50
Speaking 50
TOEFL iBT
Overall 79
Listening 16
Reading 16
Writing 21
Speaking 18
English Test Overall Listening Reading Writing Speaking
IELTS Academic / One Skill 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 79 16 16 21 18

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.

Fees

Your actual fees may vary depending on which units you choose. We review fees annually, and they may be subject to increases.

2026 fees

2026: Fee available from October

2026 fees

2026: Fee available from July

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.

Find out more about postgraduate course fees

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.

Find out more about government loans

Scholarships

You can apply for scholarships to help you with study and living costs.

Browse all scholarships

International Merit Scholarship

A high achievement scholarship for future international undergraduate and postgraduate students.

Scholarship eligibility
Academic performance

QUT Real World International Scholarship

A scholarship to cover tuition fees, with eligibility based on your prior academic achievements.

Scholarship eligibility
Academic performance

You may also be eligible for

Centrelink payments

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