Ryerson University is a public research institution based in Toronto, Ontario, Canada, established in 1948. Ryerson University manages seven academic divisions: the Faculty of Arts, the Faculty of Community Services, the Faculty of Engineering and Architectural Science, the Faculty of Science, The Creative School, the Lincoln Alexander School of Law, and the Ted Rogers School of Management. All of these faculties are further categorized into smaller departments and schools.
The university also provides continuing education services through the G. Raymond Chang School of Continuing Education. Ryerson University is committed to generating a culture of action and giving hand-in experience in the industry. According to the Times Higher Education, Ryerson University ranked between 801-1000.
Ryerson University is Canada-s leading provider of innovative and career-focused education. Ryerson University proffers more than 100 undergraduate and graduate programs and 55 Ph.D. & postgraduate programs. Ryerson University is one of the largest comprehensive universities in Canada and a distinctly urban university with a target on innovation and entrepreneurship.
Address: 350 Victoria Street Toronto, ON M5B 2K3
Phone: +1 416-979-5000
Email: ask.ryerson.ca
Website: https://www.ryerson.ca/
Undergraduate Courses:
• Computer Science (BSc)
• Computer Science and Business (BCompScBiz)
• Computer Science and Mathematics (BCompScMath)
• Computer Science and Cognitive Science (BCompScCogSc)
• Software Engineering (BSEng)
• Electrical and Computer Engineering (BEng)
Graduate Courses:
• Computer Science (MSc)
• Computer Science (MEng)
• Electrical and Computer Engineering (MEng)
Computer Science and Business (MCompScBiz)
• Software Engineering (MEng)
Ph.D. Courses:
• Computer Science (Ph.D.)
• Electrical and Computer Engineering (Ph.D.)
Ryerson University is the hub of a thriving computer science research community that consistently pushes the boundaries of computer science technology.
• Artificial Intelligence & Machine Learning
• Computational Geometry
• Computational Public Safety & Robotics
• Computer Vision; Graphics & Virtual Reality
• Cybersecurity
• Data Science
• Software Engineering
• Wireless Communications and Networks
Artificial Intelligence & Machine Learning:
• QoS-based recommender systems for cloud services
• Behavior analytics for social networks
• Clinical decision-support software
• Predictive and image analysis
• Knowledge representation and reasoning
Computational Geometry:
• Transmission of communications over wireless networks
• Motion and visibility problems for robotics
• Collision detection in virtual reality
• Optimal route planning for search-and-rescue scenarios
Computational Public Safety & Robotics:
• Drones/Unmanned Aerial Systems (UAS)
• Virtual 3D Disaster Scene Reconstruction
• Game-Based Tools and Simulations
Computer Vision, Graphics & Virtual Reality:
• Visual computing
• computer vision
• graphics and virtual reality
• deep-learning
• Human perception
Cybersecurity:
• Mobile platform security
• Scalable solutions for securing cloud services
Data Science:
• Data science, data mining, and database systems
• Web social networking, sensor networks, and distributed systems
• Modeling and simulation
• Multimedia processing
• Object Movement Detection by Real-Time Deep Learning on Intelligent Security Cameras
• Twitter Recommender System Simulator
• Analyzing Building Performance with Wireless Sensor Networks
Software Engineering:
• Data mining
• Deep learning
• Simulation
• Blockchain
• Cloud computing
• Quantum computing
• High-performance computing
Wireless Communications and Networks:
• Opportunistic networks design, security, control, and management
• Mobile cloud and edge computing
• Game-theory models for wireless communications networks
• Machine learning and its applications to B5G networks
• Resource management in multi-tier cellular wireless networks
• Beyond 5G (B5G) cellular networks
Ryerson University owns several computer science research labs and centers, giving students ample opportunities to gain experience in their respective fields.
• Distributed Systems and Multimedia Processing (DSMP) lab
• Distributed Applications and Broadband NEtworks Lab (DABNEL)
• Geometric Computing lab
• Network-Centric Applied Research Team
• Ryerson-s Vision Lab (RVL)
• Information and Computer Security Lab (iCaSL)
• Dr. Alireza Sadeghian-s Advanced Artificial Intelligence Lab
• Ryerson University Doctoral Scholarship
• Ryerson University Graduate Studies Awards
• Computer Science Research Fellowship
• Canada Graduate Scholarships-Master-s Program
• Ontario Graduate Scholarships
• Ontario Graduate Scholarship in Science and Technology
• Killam Fellowships
• Research Assistantships
• Graduate International Research Awards
• Ontario Graduate Scholarship in Social Sciences and Humanities
• NSERC Postgraduate Scholarship
• International Doctoral Research Scholarships
• Ryerson University International Doctoral Research Awards
• Ryerson University Graduate Student Awards
• Ontario Graduate Scholarship in Engineering
• NSERC Postgraduate Scholarships-Doctoral Program
• Vanier Canada Graduate Scholarships
• CGS-Michael Smith Foreign Study Supplements
• Connaught International Scholarship Program
• NSERC Postdoctoral Fellowships
Funded projects in computer science at Ryerson University are:
• An Artificial Intelligence and Machine Learning-Powered System
• Automated and Adaptive Software Systems for Smartphones
• Automated Machine Learning for Analyzing Biomedical Imaging
• Smart Healthcare System for Mental Health
• Smart Home Automation for Aging in Place
• Secure Cloud Computing for Cyber-Physical Systems
• Cybersecurity for Smart Cities
• Wearable Computing for Critical Infrastructure Monitoring
• Visual Analytics for Big Data
• Autonomous Agents for Adaptive Cyber-Physical Systems
To apply for the Ph.D. Computer Science program at Ryerson University in Toronto, Canada, applicants must have the requirements:
A Bachelor-s Degree in Computer Science or a relevant field, with a minimum average of 77%.
• A Master-s Degree in Computer Science or a relevant field, with a minimum average of 80%.
• GRE results with a minimum score of 300
• Four letters of recommendation
• A statement of research
• A curriculum vitae
• A writing sample
Transcripts of all the prior degrees pursued
In addition, applicants must submit an official copy of their TOEFL or IELTS score as proof of their English proficiency
• After completing the online application and attachments of the above-required documents, applicants are invited to an interview with the admission committee.
