Carleton University is an English-language public research institution located in Ottawa, Ontario, Canada, established in 1942. Carleton University proffers a wide range of academic programs and is systemized into six faculties.
Carleton University has various specialized institutions, including the Arthur Kroeger College of Public Affairs, the Norman Paterson School of International Affairs, the Carleton School of Journalism, the School of Public Policy and Administration, and the Sports School of Business.
Carleton University is a more popular institution for its quality of research, teaching, and learning innovation. Carleton University has an outstanding community of talented, highly experienced, and dedicated faculty members to provide diverse knowledge through great learning strategies.
Carleton University is a dynamic among the top-ranked universities in Canada by accomplishing the highest ranking in the country and in the world. Carleton University offers more than 65 degree programs, including UG and PG programs in multiple specializations such as arts, languages, engineering, law, business, public affairs, journalism, engineering, high technology, and international studies.
Among all the programs, the Carleton University Data Science program is prominent among learners. Being a research-intensive university, Carleton University is dedicated to assuring an excellent learning experience for its students. Carleton University has world-renowned researchers for conducting innovative, interdisciplinary, and international approaches to research and discovery.
Address: 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada
Phone: +1 613-520-3663
Email: registrar@carleton.ca
Website: https://carleton.ca/
• Introduction to Computer Science (BSc)
• Computer Architecture (BSc)
• Operating Systems (BSc)
• Algorithms and Data Structures (BSc)
• Computer Networks (BSc)
• Software Engineering (BSc)
• Computer Systems (MSc; Ph.D.)
• Computer Security (MSc; Ph.D.)
• Networking and Distributed Computing (MSc; Ph.D.)
• Software Design and Implementation (MSc; Ph.D.)
• Computational Mathematics (BSc; MSc; Ph.D.)
• Algorithms (MSc; Ph.D.)
• Programming Languages (BSc; MSc; Ph.D.)
• Database Systems (BSc; MSc; Ph.D.)
• Artificial Intelligence (BSc; MSc; Ph.D.)
• Human-Computer Interaction (BSc; MSc; Ph.D.)
• Computer Graphics (BSc; MSc; Ph.D.)
• Advanced Topics in Computer Science (BSc; MSc; Ph.D.)
• Advanced Software Engineering (MSc; Ph.D.)
• Distributed Systems (MSc; Ph.D.)
• Machine Learning (Ph.D.)
• Natural Language Processing (Ph.D.)
• Computer Vision (Ph.D.)
• Robotics (Ph.D.)
Carleton University offers a wide range of research opportunities in the field of computer science from artificial intelligence to software engineering.
• Algorithms and Data Structures
• Artificial Intelligence
• Computer Networks and Systems
• Database Systems
• Human-Computer Interaction
• Theory
Algorithms and Data Structures:
• Computational Geometry
• Complexity Theory
• Graph Algorithms
• Computational Number Theory
Artificial Intelligence:
• Knowledge Representation and Reasoning
• Robotics
• Natural Language Processing
• Computer Vision
Computer Networks and Systems:
• Network Security
• Operating Systems
• Distributed Systems
Database Systems:
• Data Mining
• Database Security
• Data Warehousing
• Big Data
Human-Computer Interaction:
• Accessibility
• Usability Engineering
• Social Computing
• Multimodal Interaction
Programming Languages:
• Program Analysis
• Formal Methods
• Concurrency
Carleton University has numerous computer science research labs and groups that allow students to explore leading-edge research topics in the field of computer science.
• Artificial Intelligence and Machine Learning (AIML) Lab
• Carleton Computer Security Lab (CCSL)
• Carleton-s Human-Oriented Research in Usable Security Lab (CHORUS)
• Carleton University Institute for Data Science (CUIDS)
• Carleton Internet Security Lab (CISL)
• Computational Geometry Lab (CGLAB)
• Graphics, Imaging, and Games Lab (GIGL)
• HotSoft Research Group (HotSoft)
• Intelligent Information Systems and Data Analytics
• Advanced Database Lab (ADB)
• Carleton International Tuition Award
• Vanier Canada Graduate Scholarship
• Mitacs Accelerate Ph.D. Scholarship
• Carleton Graduate Student Scholarship
• Carleton Faculty of Graduate and Postdoctoral Affairs Graduate Funding
• Carleton Graduate Student Travel Award
• Carleton Graduate Student Research Award
• Carleton Graduate Student Conference Support Award
• Carleton University Graduate Scholarship
• Carleton University Graduate Research Award
Funded projects in computer science at the Carleton University Ottawa, Canada
• Open Source Software Development
• Robotics for Health and Wellness
• Interactive Visualization for Data Understanding
• Intelligent Data Analytics for Smart Environments
• Automated Speech Recognition
• Computer Vision for Human-Robot Interaction
The admission requirements for a Ph.D. in Computer Science at Carleton University are given as follows:
• A Master-s degree in Computer Science or a closely relevant field from an authorized institution with a minimum Grade Point Average (GPA) of 3.0 (on a 4.0 scale) in the last two years of the undergraduate degree program and the Master-s program.
• Applicants must submit an online application through the Carleton Student Information System
• Applicants must attend the Exams of Proficiency in English, such as a TOEFL of at least 92/120 (iBT/CBT) or an IELTS of at least 7
• Submission of a Statement of Intent and letter of reference
• Submission of a Curriculum Vitae and official transcripts from all prior studied institutions
