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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.
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.
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).
Master of Data Science
Gardens Point Campus, Brisbane, Australia
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
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
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
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).
Tuition fees
Domestic
International
Scholarships
International Talent Scholarship
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
International Merit Scholarship
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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Master of Optometry
Master of Optometry
Master of Psychology (Educational and Developmental)
Master of Psychology (Educational and Developmental)
Natural Sciences (6)
Bachelor of Mathematics / Master of Teaching (Secondary)
Bachelor of Mathematics / Master of Teaching (Secondary)
Social Sciences and Management (6)
Master of Business (Human Resource Management)
Master of Business (Human Resource Management)
Master of Digital Communication
Master of Digital Communication
Master of Education (Educational Leadership)
Master of Education (Educational Leadership)
Master of Education (Inclusive Education)
Master of Education (Inclusive Education)
Master of Education (Indigenous Australian Education for Teachers)
Master of Education (Indigenous Australian Education for Teachers)
Master of Education (Leading Early Childhood Education)
Master of Education (Leading Early Childhood Education)
Master of Education (STEM in Education)
Master of Education (STEM in Education)
Master of Education (School Guidance and Counselling)
Master of Education (School Guidance and Counselling)
Master of Education (Teaching English to Speakers of Other Languages)
Master of Education (Teaching English to Speakers of Other Languages)
Master of Education - STEM in Education Specialisation
Master of Education - STEM in Education Specialisation
Master of Education - Trauma-Aware Education Specialisation
Master of Education - Trauma-Aware Education Specialisation
Master of Justice
Master of Justice
Master of Public Health
Master of Public Health
Master of Social Work - Qualifying
Master of Social Work - Qualifying
Master of Teaching (Early Childhood)
Master of Teaching (Early Childhood)
Master of Teaching (Primary)
Master of Teaching (Primary)
Master of Teaching (Secondary)
Master of Teaching (Secondary)
Executive MBA (3)
Executive Master of Business Administration (EMBA)
Executive Master of Business Administration (EMBA)
Full-Time MBA (3)
Master of Business Administration (MBA)
Master of Business Administration (MBA)
Online/Distance MBA (3)
Online Master of Business Administration (MBA)
Online Master of Business Administration (MBA)
Arts and Humanities (2)
Doctor of Philosophy
Doctor of Philosophy
Social Sciences and Management (2)
Doctor of Education
Doctor of Education