Research

Deakin's School of Information Technology undertakes both fundamental and applied research across a range of technology areas, and is committed to providing high-quality research training to our students.

We’re passionate about training tomorrow’s technology leaders, helping to advance industry, maintain our graduates' competitive edge and ultimately benefit the world.

Internationally recognised

Computer science at Deakin University has been ranked within the top 151–200 in the world according to the 2018 Academic Ranking of World Universities (ARWU).


Interested in research-level study?

Information technology is an essential tool for innovation and productivity across a wide range of sectors. With a thriving industry at the very centre of the way we work, research studies in the field will open you up to a diverse range of career opportunities.

Keen to get started with postgraduate study, but need a supervisor? We can help you find someone suitable across our mix of disciplines:

  • applied mathematics
  • applied robotics
  • artificial intelligence
  • data analytics
  • distributed systems
  • cognitive science
  • cyber security
  • computer science
  • graph theory
  • human-computer interaction
  • interactive media design
  • Internet of Things
  • IT services
  • IT strategy and management
  • mobile and apps development
  • networking
  • optimisation
  • software engineering
  • virtual reality and augmented reality.

Find out how to become a research degree student at Deakin

Artificial Intelligence and Data Analytics

The Artificial Intelligence and Data Analytics (AIDA) Research Cluster carries out and promotes top-quality research in data science, machine learning, optimisation and artificial intelligence.

Find out more about AIDA research

Distributed Systems and Internet of Things

The Distributed Systems and Internet of Things (DIoT) Research Cluster aims to radically rethink life as embedded in the growing and emerging IoT, and to create innovative IoT to enrich and change our work and daily lives.

Find out more about DIoT research

Human-computer Interaction for Virtual Experiences

The Human-computer Interaction for Virtual Experiences (HIVE) Research Cluster focuses on creating novel design, understanding user behaviour and experience, and conducting evaluation of interactive and collaborative creative technologies.

Find out more about HIVE research

IT for Future Education

The Information Technology for Future Education (ITFE) Research Cluster aims to promote computing education as a core literacy, educating students and professionals on digital technologies, through contemporary best practice.

Find out more about ITFE research

Software Engineering

The Software Engineering (SERCh) Research Cluster focuses on conducting ground-breaking research into applied software engineering practice, industry and project focused-work, and research and development.

Find out about SERCh research

Contact us

Associate Head of School, Research
Professor Yong Xiang
+61 3 9251 7740
Email Professor Xiang