Our school leads education and research in secure, people-friendly technologies that benefit our increasingly connected and data-rich world.
Technologies like machine learning, artificial intelligence and human-machine interfaces are vital for businesses and communities to thrive. Our work revolves around the need for computer-based solutions that are secure, effective and people-oriented.
We're home to research groups that deliver industry and community-based solutions in human-computer interaction, information security and data science.
Our research
In an increasingly complex and fast-moving world, the School of Computer Science conducts fundamental and applied research into helping people with differing abilities interact effectively with data, keeping data secure, transferring and storing data efficiently, and analysing data to produce new insights.
Our primary research partners include:
- Cyber Security Cooperative Research Centre
- Centre for Data Science
- Centre of Excellence for the Digital Child
- Games Research and Interaction Design Lab
- Trusted Networks Lab
- Inclusive Technologies for People of Diverse Cognitive Abilities
- Ecosounds
- Acoustic Observatory
- Open Ecoacoustics
- Digital Wellbeing Lab
- CLEVAR Research Group
- numerous individual research projects with a variety of academic and industrial organisations.
Knowledge gained from our research projects also informs our undergraduate and postgraduate teaching courses.
Academic and postdoctoral researchers within the school undertake research projects funded by the Australian Research Council, Cooperative Research Centres and government and industry partners.
Research interests include eco-acoustics, enterprise system software re-engineering, interfaces for users with special needs, geodetic data analytics, human-computer interaction psychology, trusted data sharing in distributed networks, natural language processing, large-scale data analytics, text mining, cryptography, immersive technologies, bioinformatics, parallel programming, secure networking, software security, and wearable technologies.
Learning and teaching experience
Study computer science to develop expertise in software development, networked systems, information security, intelligent systems, user experience and more.
With its central city campus at Gardens Point, QUT has been Brisbane's leading information technology education provider for many years. The School of Computer Science offers undergraduate courses in information technology, data science and games and interactive environments, as well as master degrees and doctoral research projects. It has a strong emphasis on practical and applied technologies. Undergraduate IT students undertake final-year projects with one of the school's numerous industry partners.
Our staff
- Position
- Professor
- Division / Faculty
- School of Computer Science
- Research fields
- Artificial intelligence
- Library and information studies
- Theory of computation
- r.nayak@qut.edu.au
- Position
- Professor
- Division / Faculty
- School of Computer Science
- Research fields
- Artificial intelligence
- Distributed computing and systems software
- Machine learning
- y.tian@qut.edu.au
- Position
- Head of School, Computer Science
- Division / Faculty
- School of Computer Science
- Research fields
- Artificial intelligence
- Other information and computing sciences
- Biochemistry and cell biology
- dimitri.perrin@qut.edu.au
- Position
- Associate Professor
- Division / Faculty
- School of Computer Science
- xavier.boyen@qut.edu.au
- Position
- Associate Professor
- Division / Faculty
- School of Computer Science
- Research field
- Software engineering
- j.hogan@qut.edu.au
- Position
- Associate Professor
- Division / Faculty
- School of Computer Science
- Research field
- Software engineering
- w.kelly@qut.edu.au
Our research partnerships
We're working with you to find solutions to your problems. We achieve results through a collaborative partnership with our experienced research experts, who make active contributions to their fields.
News and events
New maths model sheds light on multiple sclerosis relapse & recovery cycles
A new mathematical model that reproduces the relapsing-remitting pattern of multiple sclerosis (MS) offers scientists a tool to better understand how the disease progresses.
Glas-gold: QUT students claim 14 medals at Commonwealth Games
QUT students have claimed 14 medals at the 2026 Commonwealth Games in Scotland, collectively bringing home eight gold medals, one silver and five bronze.
The value and impact of real-world data science showcased in new book
A new open-access book produced by QUT examines the integration of data science and artificial intelligence (AI) into practical applications which aim to address society’s most pressing challenges.
Contact us
Contact the School of Computer Science for more information on our courses, research and staff.