La Trobe University is a publicly-based research institution based in Melbourne, Victoria, Australia, established in 1967. La Trobe University is among the Australian verdant universities and a member of the Innovative Research Universities group.
La Trobe University proffers more than 90 undergraduate and more than 70 postgraduate courses over its two colleges of Arts, Social Science and Commerce (ASSC) and Science, Health and Engineering (SHE). La Trobe University is recognized as one of the world-s top research universities and ranks among the top 1% of global universities.
La Trobe University collaborates with industries, institutions, the private sector, and government organizations. According to THE (Times Higher Education) - University Ranking, La Trobe University ranked between 251-300. As per QS - World University Ranking, La Trobe University ranks 316th.
La Trobe University furnishes more than 200-degree programs across various domains such as Business, Law, Rural Health, Applied Systems Biology, Cancer Medicine, Education, Humanities & Social Sciences, Nursing & Midwifery, Psychology & Public Health, plus Computing, Engineering & Mathematical Sciences, Allied Health, Human Services & Sport, Agriculture, Biomedicine & Environment.
La Trobe University is rated in the fourth position internationally for its impactful research in science, health, and technology.
Address: Plenty Rd &, Kingsbury Dr, Bundoora VIC 3086, Australia
Phone: +61 1300 528 762
Email: grs@latrobe.edu.au
Website: https://www.latrobe.edu.au/
• Bachelor of Computer Science
• Master of Computer Science
• Master of Information Technology
• Master of Information and Communication Technology
• Doctor of Philosophy (PhD) in Computer Science
• Doctor of Philosophy (PhD) in Information Technology
• Doctor of Philosophy (PhD) in Information and Communication Technology
La Trobe University of Melbourne computer science researchers specializes in fundamental and applied research to bring innovative technical solutions. Their research activities are categorized into six key areas such as
• Artificial intelligence and data science
• Cybersecurity and Networking
• Data and systems
• Smart sensing and disruptive technology
• Visualization and interactive media
• Computing education and technologies
Artificial intelligence and data science:
• Data mining
• Machine learning
• Deep learning
• Computer intelligence
• Bioinformatics
• Digital health
• Digital forensics
Cybersecurity and networking:
• Secure cloud assurance system
• Advanced access control systems
• Privacy and access control
• Internet of things and wireless security
• Incident response and penetration testing
• Identity and access management
• Digital forensics and the prevention of cybercrime
Data and systems:
• Data integration
• Data fragmentation
• Utility optimization
• Data quality
• Data privacy and security
• Mobile, distributed, and cloud databases
• Internet of things data ecosystem
• Spatial data management
• Semantic knowledge and graph databases
Smart sensing and disruptive technology:
• Telehealth
• Healthcare
• Wellbeing and Education
Visualization and interactive media:
• Information visualization
• Human-computer interaction
• Virtual and augmented reality
• Image processing
• Computer vision
Computing education and technologies:
• Computer science
• Information technology
• Cybersecurity
La Trobe University Melbourne in Australia has several active computer science research labs and groups actively engrossed in research and advancement in the field of computer science.
• Centre for Networked Systems
• La Trobe Institute for Artificial Intelligence
• Centre for Computational Modeling and Simulation
• La Trobe Centre for Cyber Security
• Laboratory for Artificial Intelligence and Robotics
• La Trobe eResearch Centre
• Computer Vision Research Group
• La Trobe University Smart City Research Group
• La Trobe University Big Data Research Group
• La Trobe University Networked Systems Group
• La Trobe University Data Mining Research Group
• La Trobe University Software Engineering Research Group
• La Trobe University Machine Learning Research Group
• La Trobe University Computer Networks Research Group
• La Trobe University Distributed Systems Research Group
• La Trobe Cybersecurity Research Hub
• Cisco-La Trobe Centre for Artificial Intelligence and Internet of Things
• La Trobe University Ph.D. Scholarship
• La Trobe University Postgraduate Research Award
• La Trobe University Computer Science Honours Scholarship
• La Trobe University Future Leader Scholarship
• La Trobe University International Postgraduate Research Scholarship
• La Trobe University Postgraduate Research Program
• La Trobe University International Postgraduate Research Stipend
• La Trobe University Postgraduate Research Scholarship
• La Trobe University Scholarships for Computer Science
• La Trobe University Computer Science Postgraduate Research Award
Funded projects in computer science at La Trobe University of Melbourne are
• Data Mining for Health and Social Care: Investigating the Impact of Social Networking on Service Delivery
• Intelligent Agents for Automated System Administration
• Advanced Machine Learning for Natural Language Processing
• Investigating the Use of Virtual Reality for Enhanced Learning Experiences
• Automated Systems for Predictive Diagnostics in Healthcare
• Investigating the Use of Artificial Intelligence for Automated Surveillance
• Augmented Reality for Education and Training
The La Trobe University Melbourne, Australia, provides an authorized Doctor of Philosophy (PhD) degree in Computer Science. To gain admission to the program, applicants must meet the following minimum criteria:
• A Bachelor-s or Master-s degree in Computer Science or a relevant field with a minimum GPA of 4.0
• At least two letters of recommendation from university professionals
• A research proposal detailing the applicant-s research interests and areas of expertise
• A personal statement detailing the applicant-s academic background and research experience
• A Statement of Purpose
• Proof of proficiency in the English language as a score report of IELTS or TOEFL
• Evidence of any previous research experience, including publications, conference presentations, and work experience in the field
