Master of Information Technology (Data Science)
Course overview
Shape the future with data-driven thinking
The Master of Information Technology (Data Science) is built for those who want to solve real-world problems. You’ll develop T-shaped skills, giving you general IT knowledge paired with deep expertise in the field of data science. Across the course, you’ll learn to apply your knowledge with the use of tools like Python, R, SQL and Tableau to uncover insights, build models, and communicate actionable findings.
This fully online, ACS-accredited program is designed to fit around your schedule, with flexible entry options and advanced standing that can reduce your study time. You’ll gain hands-on experience through an industry project or industry research, applying your skills to a real data challenge and presenting your insights to stakeholders. In addition, you will have developed a range of professional attributes that are highly sought after by organisations.
Graduates are equipped to critically analyse complex data problems, apply industry-best practices, and communicate clearly across audiences. You’ll leave with a portfolio of work, strong leadership skills, and the confidence to create value in diverse professional settings, whether in business, government, or research.
Learn more about the Master of Information Technology (Data Science) with QUT Online.
Feb, Apr, Jul, Oct
2 years full-time or part-time equivalent
AUD $ 19,400
Domestic Student
*Limited Commonwealth Supported Places (CSPs) available for domestic students only. Annual fees are subject to change and are dependent on selected units. For more information on CSPs, see below.
Why this course
Designed for professionals seeking expertise in data science, this course helps you build advanced T-shaped capabilities. You will learn to use industry models, processed and tools to provide novel solutions to complex organisational problems. In addition to hard skills, graduates will acquire soft skills in communication and collaboration, thriving in all contexts.
Flexible study
Part-time or full-time study available to suit your study needs
Further study
Direct pathways for entry to a PhD program
Accreditation
Accredited by the Australian Computer Society
Course units
You must complete a total of 192 credit points.
The following core and option units have been proposed for 2026 and are subject to final approval (mid-October 2025). Please reach out to the Course Consultants if you have any questions at 1300 104 196
12 credit points
12 credit points
12 credit points
12 credit points
Complete 60 credit points of advanced core units
12 credit points
12 credit points
12 credit points
12 credit points
12 credit points
Select one capstone pathway (industry or research) and complete 36 credit points of study. Please note that the research pathway requires on-campus attendance.
12 credit points
12 credit points
12 credit points
Complete 36 credit points of study. Please note, this is optional and provides a pathway to the PhD program. These units would be taken in place of the capstone units above (IFQ735, IFQ736-1 and IFQ736-2) and require on-campus attendance.
12 credit points
12 credit points
Complete three of the following units (36 credit points of study):
12 credit points
12 credit points
12 credit points
Choose one of the following (12 credit points of study):
12 credit points
12 credit points
Entry requirements
You can gain entry into the Master of Information Technology (Data Science) with the following:
2-year program
- A completed recognised bachelor’s degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale)
1.5-year program
- A completed recognised bachelor’s degree (or higher) in information technology with a minimum GPA of 4 (on a 7-point scale)
or
- A completed recognised bachelor’s degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale) plus 3 years FTE of professional work experience in information technology
or
- A completed recognised Graduate Certificate in Information Technology with a minimum GPA of 4 (on a 7-point scale)
or
- A completed QUT IQ14, IQ15, IQ16, IQ18, or IQ30 Graduate Certificate
1-year program
- A completed recognised Graduate Diploma in information technology (in the same discipline as the planned IQ20 major) with a minimum GPA of 4 (on a 7-point scale)
or
- A completed QUT IQ19 Graduate Diploma in Information Technology (in the same discipline as the planned IQ20 major)
Early exit options
Students who are enrolled in this course may be eligible to exit their course with a Graduate Certificate of Information Technology (IQ18) after successful completion of an approved 48 credit points of units, or a Graduate Diploma in Information Technology (IQ19) after successful completion of an approved 96 credit points of units.
Course outcomes
As a graduate of this course, you will demonstrate advanced knowledge in data science, with the ability to apply industry-standard tools and techniques to complex, data-rich environments. You’ll be equipped to critically analyse problems, design effective data-driven solutions, and communicate insights clearly to both technical and non-technical audiences. Alongside your technical skills, you’ll develop leadership, ethical awareness, and the ability to work independently and collaboratively across diverse professional contexts.
Skills and tools in this course
- Demonstrate understanding of data science research principles and their application to real-world projects
- An optional research stream can lead to a PhD entry for future academics
- Demonstrate advanced specialist knowledge in the data science discipline
- Demonstrate business acumen and well-developed values, attitudes, behaviours and judgements in professional contexts
- Critically assess complex data science challenges and apply creative solutions.
- Create positive change by addressing social, ethical, legal and cultural issues in data science, with awareness of First Nations and diverse perspectives
Potential career opportunities
Data scientist
Search for patterns throughout raw data to help provide insights into or solve real-world problems. Data scientists are employed in a range of fields, including finance, IT, public administration, health, and retail.
-
Average Salary
$120,000
-
Industry Job Satisfaction of
4/5
-
Industry Growth
+11%
Projected job growth in next 5 years
, 2025
Business analyst
Business analysts are responsible for reviewing and analysing business processes, creating efficiencies, leading project teams and communicating technical information back to the business.
-
Average Salary
$115,000
-
Industry Job Satisfaction of
4/5
-
Industry Growth
+23.2%
Projected job growth in next 5 years
, 2025
Business intelligence analyst
Use data to provide strategic guidance and improve the business performance of an organisation.
-
Average Salary
$108,000
-
Industry Job Satisfaction of
4.5/5
-
Industry Growth
+23.2%
Projected job growth in next 5 years
, 2025
Data analyst
Help organisations identify ways of reducing costs and find opportunities for growing revenue.
-
Average Salary
$105,000
-
Industry Job Satisfaction of
4/5
-
Industry Growth
+23.2%
Projected job growth in next 5 years
, 2025
How online study works
Learn in your own way
Experience the unwavering support of our university as you embark on your online learning journey.
- Flexible and supportive options for your lifestyle
- The easy application and enrolment process
- Alignment with career aspirations
Ready to apply?
Apply online by filling out an application form, or speak to a course consultant on 1300 104 196.
We do have a shortened master’s program for eligible applicants. Please see the entry requirements for this course.
Any experience in the IT field could help you with this course; however, it is not essential to be successful.
Yes, CSPs are available for all Information Technology courses, including bootcamps. CSPs allow domestic students to have a significant portion of their university or higher education fees subsidised by the Australian government.
Information Technology (IT)
Is a Master’s in Computer Science the right choice for you?
Find out if studying a master in computer science online is the right move for your career. Learn how studying online can offer you new employment opportunities, better pay in the short term, and how more expertise leads to better outcomes over time.
The benefits of earning your computer science degree online
How can you learn computer science effectively while working full-time and balancing other commitments? Find out how QUT has made online study easy.
Lifelong learning in the age of automation
As technology evolves and career pathways change, lifelong learning has become increasingly important. By upskilling for the future of work today, you will set yourself up for a dynamic career in the workplaces of tomorrow.
Got a question?
Contact us on our enquiry form
Contact UsBy submitting this form, you understand that QUT is collecting your personal information. Refer to the Privacy Collection Notice for more information.
If you’re not ready to apply or want to know more before you submit your application, you can request more information by calling us on 1300 104 196 or by completing our enquiry form.
Ready to apply?
Apply online by filling out our application form or speak to a Course Consultant on 1300 104 196.
Talk to us
Get in touch with one of our support staff who are always ready to guide you.
9am – 5pm AEST Monday to Friday
Book a call today