The University of Canterbury is research-rich in Christchurch, New Zealand and was chartered in 1873. The University of Canterbury is the second-oldest university in New Zealand and proffers degrees in Arts, Commerce, Education, Engineering, Fine Arts, Forestry, Health Sciences, Law, Music, Science and Social Work.
University of Canterbury-s research owns a global reach and a local focus, with high-impact research that resolves real-time problems. The University of Canterbury stimulates and assists academic development and innovation and furnishes a curriculum that equips students to contribute knowledge for a better society.
The University of Canterbury advances knowledge and brings about positive impact via connected, world-class education and research.
Address:  20 Kirkwood Avenue, Upper Riccarton, Christchurch 8041, New Zealand.
Phone:   +64 3-369 3999
Email:  info@canterbury.ac.nz
Website:  https://www.canterbury.ac.nz/
Postgraduate
• Graduate Diploma in Science
• Bachelor of Science with Honours
• Postgraduate Certificate in Science
• Postgraduate Diploma in Science
• Master of Science
• Professional Master of Computer Science
• Doctor of Philosophy
Undergraduate
• Certificate in Science
• Certificate in Commerce
• Diploma in Science
• Diploma in Commerce
• Bachelor of Science
• Bachelor of Arts
• Bachelor of Commerce
• Bachelor of Digital Screen with Honours
• Bachelor of Health Sciences
• Bachelor of Social and Environmental Sustainability
• Bachelor of Sport Coaching
• Bachelor of Youth and Community Leadership
The University of Canterbury is renowned for its leading-edge computer science research and some of its research areas;
• Theoretical computer science
• Computer science education
• Intelligent computer tutoring
• Artificial intelligence and machine learning
• Computer vision and deep learning
• Computer networking and cyber security
• Multimedia and computer graphics
• Human-computer interaction
• Software engineering and its applications
Theoretical computer science;
• Algorithms and data structures
• Computability and complexity
• Formal languages, grammar and automata
• Formal methods of software engineering
• Logic, theorem proving and verification
• Programming language concepts and compilers
• Semantics of programs and specifications
Intelligent computer tutoring;
• Cognitive Rehabilitation
• Intelligent Tutoring System
• Knowledge-based Entity-Relationship Modelling Intelligent Tutor
• Intelligent Tutoring System for Capitalisation and Punctuation
Artificial intelligence and machine learning;
• Statistical learning and connectionism
• Biologically-inspired computation
• Artificial life
• Combinatorial search
Computer vision and deep learning;
• Computer Graphics
• Image Analysis
• Classification
Computer networking and cyber security;
• Active Networks
• Enhancing TCP Performance on both Wireline and Mobile Wireless Networks
• Fast Mobility and Admission Control Mechanisms in Multimedia Cellular IP Networks
• IPv4-to-IPv6 Transition Mechanisms
• Control-Theoretic Approaches to Self-Similar Traffic Management
• Ad Hoc Wireless Networks
• Differentiated Services IP Networks
• Quality of Service Routing
Software engineering and its applications;
• Empirical software engineering
• Software requirements engineering
• Software architecture
• Software development processes and practices
• The MacDiarmid Institute for Advanced Materials and Nanotechnology
• Spatial Engineering Research Centre (SERC)
• Communications Laboratory
• High Voltage lab
• Nanofabrication Laboratory
• Biological Applications Laboratory
• Power Research Laboratory
• Optics Laboratory
• Electronics Laboratory
• Machines Laboratory
• Automation Laboratory
• Embedded Systems Laboratory
• Power Electronics Lab
• Artificial Intelligence Research Group
• Wireless Research Center
• Research groups and laboratories
• Algorithm Engineering Group
• Artificial Intelligence Research Lab
• Computer Graphics and Medical Image Analysis Group
• Computer Science Education Group
• Computer Science Unplugged
• Computer Vision Lab
• Cybersecurity Lab
• Human-Computer Interaction and Multimedia Lab
• Intelligent Computer Tutoring Group
• intelliHealth Systems Research Lab
• Network Research Group
• Simulation Research Group
• Software Engineering Research and Applications (SERA) Lab
• Theoretical Computer Science
• UC Connect Doctoral Scholarship
• UC Doctoral Scholarship for Students with Disabilities
• UC Matariki Doctoral Scholarship
• UC Pacifika Doctoral Scholarship
• University of Canterbury Ph.D. Scholarship Scheme
• University of Canterbury International Doctoral Scholarship Scheme
• University of Canterbury Doctoral Scholarship Scheme
• University of Canterbury Postdoctoral Fellowship Scheme
• University of Canterbury Postgraduate Research Scholarship Scheme
• University of Canterbury Research Excellence Scholarship Scheme
• University of Canterbury Doctoral Research Programme
• University of Canterbury Computer Science Scholarships
Funded projects in computer science at the University of Canterbury - Christchurch - New Zealand
• Cloud Computing for Enterprise Resource Planning
• The Development of a Virtual Reality-enabled Robot Arm
• Visualizing Complex Data through Augmented Reality
• Autonomous Navigation System in Unstructured Environment
• AI-based Mobile Application for Supporting Caregivers
To be considered for admission to the Ph.D. program in Computer Science at the University of Canterbury, applicants must have the following qualifications:
• A Bachelor of Science degree awarded with Honours in Computer Science, or a closely related field of study
• Proof of successful completion of a research project.
• A minimum Grade Point Average (GPA) of 6.5 out of 7
Applicants must submit the following documents
• A completed application form
• An up-to-date resume
• Official transcripts of all previous academic studies
• Letters of reference
• A statement of interest and research proposal
• Proof of English language proficiency