The University of Victoria is a leading publicly-owned research institution based in the municipalities of Oak Bay and Saanich, British Columbia, Canada, and was founded in the province of British Columbia in 1903.
The University of Victoria is one of Canada-s leading research universities and is renowned for its research impact and powerful learning opportunities. The University of Victoria is frequently awarded for its comprehensive academic programming and strong partnership, beneficial for equipping students for the global workplace.
The University of Victoria has specially designed eight areas of research such as culture and creativity, climate and energy, health and life sciences, data science and cyber-physical systems, ocean science and technology, global studies and social justice, mathematics and computer science, and indigenous research.
The University of Victoria has collaborated with the government, industries, and research institutes for research development initiatives, integrated research, and knowledge-sharing programs. The University of Victoria offers a broad range of undergraduate, graduate, professional degrees and diplomas, world-class infrastructure, highly-qualified faculty members, and a dynamic learning system.
The main faculties of the University of Victoria are humanities, engineering, science, human and social development, education, social sciences, and fine arts. The University of Victoria has constantly ranked North America-s top university for published research depending on international collaboration.
Address: Victoria, BC V8P 5C2, Canada
Phone: +1 250-721-7211
Email: adve@uvic.ca
Website: https://www.uvic.ca/
• BSc Computer Science
• BSc Software Engineering
• BSc Computer Science with Specialization in Artificial Intelligence
• BSc Computer Science with Specialization in Data Science
• MSc Computer Science
• MSc Software Engineering
• MSc Computer Science with Specialization in Artificial Intelligence
• MSc Computer Science with Specialization in Data Science
• Ph.D. Computer Science
• Ph.D. Software Engineering
• Ph.D. Computer Science with Specialization in Artificial Intelligence
• Ph.D. Computer Science with Specialization in Data Science
The University of Victoria-s computer science research is highly recognized for its innovative approaches to solving complex problems in various research areas such as
• Algorithm design and complexity
• Artificial intelligence
• Cloud computing
• Computational biology and bioinformatics
• Computer Music
• Computer vision
• Databases and data mining
• Graphics
• HCI and visualization
• Machine learning
• Parallel; networked; and distributed computing
• Security and privacy
• Software engineering
• Theory of computing
Algorithm Design and Complexity;
• Algorithmic Foundations of Data Privacy
• Computational Learning Theory
• Efficient Algorithms for Hard Problems
• Algorithmic Graph Theory
Artificial Intelligence;
• Autonomous Agents and Multi-Agent Systems
• Natural Language Processing
• Machine Learning and Data Mining
• Robotics and Computer Vision
Cloud Computing;
• Cloud Security and Privacy
• Performance Modeling and Optimization
• Cloud Storage Systems
• Cloud Computing for Big Data Analytics
Computational Biology and Bioinformatics;
• Computational Genomics
• Systems Biology
• Computational Proteomics
• Structural Bioinformatics
Computer Music;
• Sound Synthesis
• Music Information Retrieval
• Music Accompaniment
• Music Perception and Cognition
Computer Vision;
• 3D Reconstruction from Images
• Motion Analysis
Databases and Data Mining;
• Distributed Data Management
• Privacy-Preserving Data Mining
• Graph Databases
• NoSQL Databases
Graphics:
• Real-Time Rendering of 3D Scenes with Global Illumination
• GPU-Based Rendering of Dynamic Scenes
• Realistic Simulation of Natural Phenomena
HCI and Visualization:
• Human-Computer Interaction in Virtual Environments
• Effective Visualizations for Big Data
Parallel, Networked, and Distributed Computing:
• High-Performance Computing for Big Data Applications
• Security and Privacy in Distributed Systems
• Autonomous Networked Systems
The University of Victoria is a hub for a vibrant community of computer science research labs and groups, delivering a robust environment for creative and innovative research.
• Center for Advanced Materials and Related Technology (CAMTEC)
• Centre for Advanced Security, Privacy, and Information Systems Research (ASPIRe)
• Communication Networks Laboratory (CNL)
• Computer-Aided Design of Microwave Integrated Circuits (CADMIC) Group
• Computational Electromagnetics Research Laboratory (CERL)
• Digital Signal Processing Group (DSPG)
• Information Security and Object Technology (ISOT) Group
• Information Security and Privacy Research (InSPiRe) Group
• Integrated MicroSystems Research Group (IMS)
• Laboratory for Advanced Wireless Communication Research (LAWCR) Group
• Laboratory for Applied Computer Vision Algorithms (ACVA) Group
• Laboratory for Parallel and Intelligent Systems (LAPIS) Group
• Molecular Beam Epitaxy Lab (MBELAB)
• Music Information and Sound Technology Interdisciplinary Centre (MISTIC)
• Ocean Engineering Research Group (OER)
• Optical Systems and Technology Laboratory (OSTL)
• Signal Processing in Communications (SPROCOM) Group
• NSERC Postgraduate Scholarships-Doctoral Program (PGSD)
• CIHR Frederick Banting and Charles Best Canada Graduate Scholarships (CGS-D)
• Canadian Graduate Scholarships-Master-s Program (CGS-M)
• SSHRC Doctoral Fellowships
• SSHRC Postdoctoral Fellowships
• Vanier Canada Graduate Scholarships
• Victoria Graduate Awards
• University of Victoria Graduate Fellowships
• University of Victoria International Student Awards
• University of Victoria Graduate Student Research Awards
Funded projects in computer science at the University of Victoria
• Secure Computing and Privacy (SeCP)
• Advanced Software Engineering and Digital Platforms
• Visualization for Big Data Analytics
• Autonomous Systems for Intelligent Transportation
• Cybersecurity and Digital Forensics
• Trustworthy Computing
• Machine Learning and Data Mining
• Robotics and Autonomous Systems
Admission requirements for Ph.D. computer science at the University of Victoria are
• A bachelor-s degree, or equivalent, in a closely related discipline from an accredited university with a minimum overall average of 76% or 3.3 on a 4.0 scale in the last two years of study
• Official transcripts from all post-secondary institutions studied
• Three letters of reference
• A one-page statement of interest
• Proof of English language proficiency is required for applicants whose first language is not English
After submitting applicants with all the supporting documents, eligible applicants are invited for an interview, and admission will be offered.
