Our core research programs
Applied data science
We collaborate to develop novel data science methods for domain-specific research, to solve real-world challenges for our clients.Read more
Data-focused decision making
Our new methods for visualisation, communication and interpretation of data and analyses allow for improved decision-making, and the critical evaluation of issues related to the role and use of data science in society.Read more
Models and algorithms
We use novel models to describe and make decisions about complex real-world systems, and methods to ensure high quality, open, reproducible data science. We develop scalable, efficient computational algorithms for analysing dimensional and highly structure data.Read more
Data for discovery
We are advancing the medical, physical, technological and social sciences through the development and application of new data science methods to achieve rigorous scientific discovery and generate evidence-based insights.Read more
Our research domains
Our core research is conducted across six key domains:
Our vision is to tackle key challenges and support day-to-day decisions in sports and fitness through innovations at the intersection of data science, and the sports, exercise and physiological and psychological sciences.Read more
Developing cutting-edge, data-driven solutions to drive innovation in public agencies, public policy processes, and governance systems.
Our research on social systems is focused on the patterned networks of relationships, including government, policy, law, companies, not-for-profit organisations, business or industry norms, social norms, cultural beliefs and consumer behaviour.
Business and engineering systems
We initiate and incubate transdisciplinary collaborations with a common interest in finding cutting-edge, data-driven solutions to challenges faced by business and engineering industries.Read more
Environment and natural systems
We are collaborating on a wide range of data-driven projects to improve environmental and natural systems. From predictive modelling for more viable food crops, to developing new statistical tools and methods to modernise ecology and conservation.
Health and biological systems
We work across a wide range of data-driven methods, platforms and areas of expertise to optimise health and biological systems, to improve the health and wellbeing of people globally.
Data Science for Social Good
Data Science for Social Good program offered by QUT Centre for Data Science is an initiative to solve some real-world challenges with social impact using data science research.Read more
We offer a range of training and research services. Contact us today to discuss how we can work together.
Commercial research consultancy
We offer commercial research and consulting services and professional training in data science.
Australian Data Science Network
We’re creating a national network of like-minded groups to enhance research, learning, outcomes and opportunities for data science researchers.
Upskill with short courses, seminars, MOOCs and professional sabbaticals.
We provide research training for higher degree research students, early career researchers and undergraduate interns.