Overview

As a computer science research candidate, you have the flexibility to pursue an individual topic, or contribute to one of our existing research areas.

You will join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including:

• data engineering and analysis
• distributed systems and networking
• artificial intelligence
• heuristic optimisation
• information retrieval and web search
• software engineering.

RMIT's success is demonstrated in international university rankings, with computer science and information systems at RMIT ranked #9 in Australia and in the top 200 globally per QS Rankings by Subject 2023, in the top 150 globally for ShanghaiRankings by Subject 2022 and 124th globally (top 150) for 2022 NTU World University Rankings.

The Australian Research Council identified our research in Artificial Intelligence and Image Processing and Information Systems as above world standard in the Excellence in Research for Australia (ERA) reports.

Research collaborations

There are many research collaborations with national and international institutes, centres, groups and partners, including strategic partnerships with:

• RMIT Data Analytics Lab
• Australian-India Research Centre for Automation Software Engineering (AICAUSE).

Research support

Throughout your candidature, you will be supported through:

• expert supervision
• participation in high-quality professional development programs delivered by RMIT's School of Graduate Research
• access to RMIT's extensive facilities, laboratories and equipment and those of our partners.

Scholarships

Computer science candidates may be eligible for a range of scholarships including:

• Australian Postgraduate Awards - funded by the Australian Government
• PhD and Research Masters Scholarships - funded by RMIT University
• PhD scholarships in computer science and IT - funded by the School of Science
• other postgraduate research scholarships.