Computer Science - PhD
PhD
In Toronto (Canada)
Description
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Type
PhD
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Location
Toronto (Canada)
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Duration
Flexible
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Start date
Different dates available
Computer science is an exciting, rapidly evolving discipline that impacts our everyday lives in innumerable ways. Graduate degree-holders in computer science are in high demand. Graduates from our programs have a wide range of exciting career options in industry and academia.
Careers include but are not limited to:
software developer
data scientist
database analyst
computer vision scientist
roboticist
information technologist
professor
Our faculty actively collaborate with industrial partners, which makes Ryerson’s central downtown location advantageous. It provides walking distance access to Toronto’s vibrant and rapidly growing start-up community, major companies, financial institutions and research hospitals.
The program provides funding to each domestic thesis student. Typical funding packages are outlined below.
Facilities
Location
Start date
Start date
About this course
Completion of a master’s degree in computer science or a closely related discipline from an accredited institution
Minimum grade point average (GPA) or equivalent of 3.33/4.33 (B+)
Statement of intent
Resumé/CV
Transcripts
Three letters of recommendation
English language proficiency requirement
Reviews
Subjects
- Computing
- Networks
- Database
- Database training
- Dissertation
- Candidacy
- Examination
- Intelligence
- Robotics
- Soft
- Machine
Course programme
- Doctoral Candidacy Examination
- Doctoral Dissertation
- Research Methods: Doctoral
- Method of Instruction
- Doctoral Seminar
Field I: Intelligence and Robotics
- Soft Computing and Machine Intel
- Topics in Data Science
- Advanced Programming Languages
- Adv Human-Computer Interaction
- Collaborative Computing
- Knowledge Discovery
- Presence Through Robotic Interaction
- Introduction to Computer Vision
- Visualization
- Genetic Programming
- Directed Studies - Intelligence and Robotics
- Advanced Artificial Intelligence
- Special Doctoral Topics: AI & R
- Machine Learning
- Reinforcement Learning
- Introduction to Deep Learning
- Deep Learning in Computer Vision
- Advanced Algorithms
- Advanced Software Engineering
- Advanced Database Systems
- Secure Computing
- Software Metrics
- Distributed Systems
- Directed Studies-Networks
- Special Doctoral Topics: Networks
- Performance Evaluation
- Program Analysis for Cyber Security
Computer Science - PhD