The Royal Melbourne Institute of Technology, or RMIT University, is a famous private research institution in Melbourne, Australia, established in 1887. RMIT University is appreciated for its global study and research in technology, design, and enterprise.
RMIT University is the largest dual-sector education institution and one of the wealthiest universities, and it commenced to bring the industrial revolution to Australia. RMIT University is a five-star rated university by Quacquarelli Symonds (QS) and is ranked in 15th position in the World for art and design subjects by the QS World University Rankings.
RMIT University has an international appreciation for imparting brilliant vocational and professional education and applied research. RMIT University attracts more than 90,000 students from across 230 countries.
Being a university for global technology, design, and enterprise, RMIT University offers undergraduate, postgraduate, and vocational courses and study abroad programs in popular areas such as Arts, Aviation, Business, Design, Engineering, Fashion, Health, Law, and many more.
RMIT institution owns international excellence for its research, ranked as one of the world-s top universities with a strong research record and outstanding facilities and infrastructure.
Address: 124 La Trobe St, Melbourne VIC 3000, Australia
Phone: +61 3 9925 2000
Email: Study@RMIT
Website: https://www.rmit.edu.au/
• Bachelor of Computer Science
• Bachelor of Computer Science (Honours)
• Bachelor of Information Technology
• Bachelor of Information Technology (Honours)
• Master of Computer Science
• Master of Information Technology
• Master of Data Science
• Master of Cloud Computing
• Master of Cyber Security
• Master of Artificial Intelligence
• Doctor of Philosophy in Computer Science
• Doctor of Philosophy in Information Technology
• Doctor of Philosophy in Data Science
• Doctor of Philosophy in Cloud Computing
• Doctor of Philosophy in Cyber Security
• Doctor of Philosophy in Artificial Intelligence
RMIT University of Melbourne is renowned for its leading-edge research in computer science allowing students to explore modern technologies and advance innovative solutions.
• Computer science education research
• Cyberspace and security
• Data Analytics
• Evolutionary computing and machine learning
• Information retrieval
• Intelligent agents
• Smart sensing and services
Computer science education research;
• Problem-based learning
• Flipped-classroom method
• Flexible learning system
• Blended or online learning system
• Learning analytics
Cyberspace and security;
• Biometrics
• Watermarking
• Privacy
• Anonymous communication
• SCADA security
• Cloud Security
Data analytics;
• Complex data analytics
• Highly streaming real-time data
• Data integration and efficient retrieval
• Cloud-based infrastructures
• Situation awareness systems
• Health
• Logistics
• Smart cities
• Safety and Security
• Big data and data analytics
Evolutionary computing and machine learning;
• Large-scale global optimization
• Reinforcement learning
• Deep learning
• Multi-objective optimization
• Data mining and analytics
• Object detection
• Evolutionary arts
• Journey planning
• Vehicle routing
• Swarm intelligence
Information retrieval;
• Search, text, and user analytics
• interfaces
• Multimedia search
• Efficiency and fast string searching algorithms
Intelligent agents;
• Agent-Oriented Software Engineering
• Agent-based simulation
• Planning systems
• Intelligent Game mastering
• Conversational systems
• Agent-based logical frameworks
Smart sensing and services;
• Sensor networks
• Cloud computing
• Service computing
• Security/privacy
• Data mining
• Visual analytics
• HCI
• Intelligent transportation
• Personal recommender systems
• Smart health monitoring
• Mobile health
• Warehouse management
• Building monitoring
• Smart grid and smart cities and sustainability
RMIT University of Melbourne is the hub for a wide variety of computer science research labs and groups, providing an excellent opportunity for students to participate in cutting-edge research.
• RMIT Data Analytics Lab
• Research Centre for Automation Software Engineering (AICAUSE)
• Centre for Cyber Security Research
• Centre for Technology Infusion
• Centre for Networked Systems
• Centre for Artificial Intelligence
• Centre for Human-Computer Interaction
• Centre for Autonomous Systems
• Centre for Cyberphysical Systems
• Centre for Software Engineering and Architecture
• Centre for Data Analytics
• Centre for Applied Data Science
• Centre for Algorithms and Applications
• Centre for Mobile and Ubiquitous Computing
• Centre for Applied Cryptography
• Centre for Social Media Analytics
• Centre for Internet of Things
• Centre for Autonomous Robotics
• RMIT International Research Scholarships (RIRS)
• RMIT HDR International Tuition Fee Scholarships
• RMIT International Research Tuition Scholarship (IRTS)
• RMIT Research Training Program (RTP) Fee Offset
• RMIT Postgraduate Research Awards (PGRAs)
• RMIT Future Leader Scholarship
• RMIT International Research Excellence Scholarship (IRES)
• RMIT Postgraduate Research Excellence Awards (PRESA)
• RMIT Ph.D. Scholarships for International Students
• RMIT Vice-Chancellor-s Higher Degree Research Excellence Awards (VC-HDR)
• RMIT Ph.D. International Excellence Scholarship (PIES)
• RMIT Global Mobility Program (GMP)
• RMIT International Postgraduate Research Scholarship (IPRS)
• RMIT Global Leaders Program (GLP)
• RMIT Graduate Research Scholarships (GRS)
Funded computer science projects at RMIT University of Melbourne are
• Robust Multi-Robot Cooperation for Autonomous Interactions in Unstructured Environments
• Low-Cost Virtual Reality System for Spatial Navigation
• Autonomous Quadrotor Swarms for Urban Search and Rescue
• Autonomous Surveillance Robots for Security Applications Probabilistic Modeling for Autonomous Navigation in Unknown Environments
• Autonomous Systems for High-Throughput Data Collection in Environmental Monitoring
• Artificial Intelligence for Autonomous Robot Navigation in Complex Environments
• Automated Image Recognition for Autonomous Vehicle Navigation
• Autonomous Drone Systems for Smart Cities
• Autonomous Networked Robots for Environmental Monitoring
The admission procedure and requirements for the Doctor of Philosophy (Ph.D.) in Computer Science are
• A Bachelor-s degree or Master-s degree in Computer Science or a relevant field with a minimum GPA of 75%
• A personal statement
• A research proposal
• At least two referees
• English language proficiency proof of IELTS report with a score of 6.5
• A minimum of two or one year of related work experience
• Additionally, all applicants must meet the general admission requirements
• A completed undergraduate or postgraduate degree from an authorized tertiary institution
• Submission of official transcripts
• Evidence of any relevant research experience
• Submission of a CV
