Artificial Intelligence and Data Science
Develop professional expertise in Artificial Intelligence and Data Science with our state-of-the-art curriculum, industry-led instruction, and hands-on training.
Credential
DIPLOMA
Duration
2 Years
Credits
60 Canadian CR
Campus Location
Ottawa, ON (Main)
Study Format
Full-Time & Co-op
Program Overview & Objectives
Develop professional expertise in Artificial Intelligence and Data Science with our state-of-the-art curriculum, industry-led instruction, and hands-on training.
Offered through the Department of Information Technology within the School of Technology, this program provides students with direct access to Cannoga’s state-of-the-art academic resources, experiential learning laboratories, and comprehensive Admissions Services.
Industry-Aligned Curriculum
Designed in collaboration with Canadian industry partners. View all Degree Programmes.
Hands-On Practicum & Co-op
Embedded terms providing direct workplace experience in Ottawa. See International Student Support.
Curriculum & Course Structure
Required core subjects, specialized courses, and capstone modules:
| Code | Area | Course Title | Credits | Prerequisite / Eligibility |
|---|---|---|---|---|
| COMP 1001 | Core | Foundations of Computing Semester 1 | 3 CR | Open Enrollment |
| COMP 1002 | Core | Programming Fundamentals Semester 1 | 3 CR | Open Enrollment |
| COMP 1003 | Core | Discrete Mathematics for Computing Semester 1 | 3 CR | Open Enrollment |
| COMP 1004 | Core | Computer Systems Semester 1 | 3 CR | Open Enrollment |
| COMP 1005 | Core | Database Fundamentals Semester 1 | 3 CR | Open Enrollment |
| COMP 1006 | Core | Data Structures and Algorithms Semester 2 | 3 CR | Open Enrollment |
| COMP 1007 | Core | Object-Oriented Programming Semester 2 | 3 CR | Open Enrollment |
| COMP 1008 | Core | Web Technologies Semester 2 | 3 CR | Open Enrollment |
| COMP 1009 | Core | Computer Networks Semester 2 | 3 CR | Open Enrollment |
| COMP 1010 | Core | Software Engineering Semester 2 | 3 CR | Open Enrollment |
| COMP 2011 | Core | Operating Systems Semester 1 | 3 CR | Open Enrollment |
| COMP 2012 | Core | Information Security Semester 1 | 3 CR | Open Enrollment |
| COMP 2013 | Core | Cloud Computing Semester 1 | 3 CR | Open Enrollment |
| COMP 2014 | Core | Systems Analysis and Design Semester 1 | 3 CR | Open Enrollment |
| COMP 2015 | Core | Applied Data Analytics Semester 1 | 3 CR | Open Enrollment |
| COMP 2016 | Core | Artificial Intelligence Fundamentals Semester 2 | 3 CR | Open Enrollment |
| COMP 2017 | Core | Machine Learning Semester 2 | 3 CR | Open Enrollment |
| COMP 2018 | Core | Secure Software Development Semester 2 | 3 CR | Open Enrollment |
| COMP 2019 | Core | Technology Project Management Semester 2 | 3 CR | Open Enrollment |
| COMP 2020 | Core | Capstone Project Semester 2 | 3 CR | Open Enrollment |
Career Prospects & Industry Pathways
Graduates of the Artificial Intelligence and Data Science are equipped for high-demand roles across public and private sector organizations in Ontario and Canada. Learn more about Tuition & Financial Aid Options or connect with our Career Advisory Team.
Target Roles & Career Positions
Artificial Intelligence and Data Science Practitioner, Industry Specialist, Professional Assistant.
Average Starting Salary
$58,000 – $74,000 CAD
Graduate Employment Rate
94.2% within 6 Months
Work Permit Eligibility
Eligible (PGWP Pathway)
Admission Requirements
Academic Requirement:
Secondary school diploma or equivalent. English proficiency test results (IELTS 6.0+ or equivalent). Minimum average of 65% in required courses required.
Minimum Admission Grade:
65%
Language Proficiency:
IELTS 6.0 overall (no band under 5.5) or TOEFL iBT 80. See International Requirements.
Estimated Tuition (2026–2027)
Department Faculty
Tom Nguyen
Faculty
Scarlett Lee
Assistant Professor
Alexander Kim
Professor