Information systems

Overview

Research groups

Business Process Management (BPM)

Information Ecology

Services Science

Recognised national leadership

QUT is the premier Australian institution for information systems (IS) research and the only university to achieve a top ranking for this field in ERA's 2010 comparative assessment of research quality across 41 universities nationally.

Our information systems research productivity is ranked higher than any other university in Australia, and was ranked higher than European universities between 2008 and 2010, by publications and international citation analysis in the world's top six information systems journals.

Our solid reputation has led to the university successfully hosting the most significant regional IS conferences in this discipline (ACIS 2010, PACIS 2011).

We have also produced more award-winning doctorate students in the field than any other Australian university, with several of our students awarded the best Australian PhD thesis in Information Systems by the Australian Council of Professors and Head of Information Systems (ACPHIS).

Research excellence

Our research disciplines are dedicated to understanding, explaining, predicting and guiding the impact of business processes, services and information on societies, corporations and individuals. Our research informs and inspires our teaching, making our courses innovative and our students well prepared for a future of increasingly challenging information environments.

Our Business Process Management (BPM) discipline is one of the most influential in the world and the research produced by the team is widely quoted and adopted by organisations such as the Workflow Patterns, the open source environment called YAWL (Yet Another Workflow Language), a BPM maturity model and the Apromore repository.

The expertise in our Services Science discipline is diverse and has a dedicated focus on theoretical foundations, applications, technologies and impacts of services across organisations, industries, ubiquitous computing environments and the web.

Our Information Ecology discipline investigates understanding, modelling, enhancing and enabling contextual connections between information, people and their environment.

The aim of the research team is to improve how people and enterprises share, comprehend, and effectively use and interact with structured and unstructured information.

Student topics

We're looking for students to study these topics.

Research degree enquiries

Science and Engineering research office

Commercial research enquiries

Science and Engineering Faculty - Commercial Research and Corporate Education

Partnership enquiries

Science and Engineering - Partnerships