24 monthsProgramme duration
44,200 AUDTuition Fee/year
02 Feb, 2026Application Deadline
2Scholarships
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
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.
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
On Campus
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.
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.
Admission Requirements
176+
6.5+
58+
79+
4+
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).
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).
02 Feb 2026
2 Years
Feb
Jul
Tuition fees
Domestic
8,500 AUD
International
44,200 AUD
Scholarships
Value
20% tuition fee waiver
Deadline
31 Dec 2027
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Value
25% tuition fee waiver
Deadline
31 Dec 2027
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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