Sorry, this program is not available for local students.
Please contact Info Corner to discuss other study options.
Sorry, this program is not available for international students intending to study on a student visa.
If you hold a different visa type, you may be eligible. Please contact us for more information.
Use your advanced research skills to further the growth and development of computer science.
As a computer science research candidate, you have the flexibility to pursue an individual topic, or contribute to one of our existing research areas.
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
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
- heuristic optimisation
- information retrieval and web search
- software engineering
RMIT's success is demonstrated in international university rankings, with computer science at RMIT being placed in the top 200 universities in the Shanghai Jiao Tong rankings and joint sixth in Australia for computer science and information systems in the 2015 QS 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.
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)
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.
International student visa holders can only study full-time.
Time spent on research
Full-time candidates are expected to commit at least four days per week (or at least two days per week for part-time candidates) to their research. The academic year is 48 weeks.
Regular contact with your supervisor
A schedule of meetings with your supervisor/s must be established to assess progress against milestones and timely completion.
Resources, facilities and support
You will have access to online and digital resources through the myRMIT student portal.
You will be part of an active research community and have access to resources and workshops to help you succeed.
School of Graduate Research
The School of Graduate Research works with Schools to further support candidates during their postgraduate research degree.
RMIT University is committed to providing you with an education that strongly links formal learning with professional or vocational practice.
Computer science and information technology projects are heavily based on industry needs and we are currently working with:
- Agent Oriented Software (AOS)
- Australia Council for the Arts.
- Deloitte Digital
- RealThing Entertainment Pty Ltd
You will be able to pursue an academic career in a university, be employed in senior leadership, management and research positions in government, scientific and industrial research laboratories, or work in or start high tech companies.
On completion, our candidates have gone on to senior positions with industry leaders including SENSIS, Seek, CSIRO and Tinder.
Program and course information
Build your research career and play a part in computing evolution
Hone your research skills with leading academics and contribute to new developments in computer science, through research projects in areas like big data, search, AI, usability, and much more.