Our Concentrations

Artificial
Intelligence

# 10

University in Canada

# 0

Computer Science
department globally

$ 25 K

average internship salary

450 +

companies represented

What is Artificial Intelligence?

While much of AI is centered in Computer Science, the field draws on tools, techniques, and expertise from many disciplines including statistics, mathematics, and engineering. Today, AI includes intellectual focus such as knowledge representation, probabilistic and statistical theory, machine learning (deep learning), computational linguistics and natural language processing, computer vision, and robotics. The efficacy of AI is embraced in industry as we witness rapid adoption from recommenders in e-commerce to self-driving vehicles in transportation.

Endless Career Opportunities

Discover the endless possibilities to accelerate your career as a world-class innovator.

AI wizard Research Engineer

Machine Learning Engineer AI Research Scientist

Deep Learning Research Scientist Applied Research scientist

Career Opportunities in Artificial Intelligence

AI Wizard
Applied Research Scientist
Artificial Intelligence Engineer
AI Research Scientist
Computer Vision Researcher
Deep Learning Research Scientist

Director, AI Model Risk
Machine Learning Engineer
Research Engineer
Senior 3D Computer Vision Engineer
Senior Machine Learning Applied Researcher
Senior Machine Learning Research Scientist

Program Requirements

Students must successfully complete six graduate level courses (totalling 3.0 Full Course Equivalents (FCEs))* as follows:
- Two courses (1.0 FCEs) must be selected from the core list of AI courses (see list below) and cover two different research areas.
- One course (0.5 FCE) must be chosen from additional AI courses outside the core list.
- One course (0.5 FCE) must be chosen from courses outside of AI
- Two required courses (1.0 FCEs): Communication for Computer Scientists (CSC 2701H) and Technical Entrepreneurship (CSC 2702H).

Students are permitted to choose a maximum of two courses (1.0 FCEs) from outside the Computer Science graduate course listing.

An eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department and evaluated on a pass/fail basis. ‘Pass’ grades are awarded based on evaluations received from the industry/academic supervisors of the internship project and submission of an appropriately written final report, documenting the applied research internship.
Students in the artificial intelligence concentration are permitted to choose a maximum of two courses (1.0 FCEs) from outside the Computer Science graduate course listing.
Students in the artificial intelligence concentration may also request a waiver of an AI core course requirement by demonstrating mastery of equivalent material. All waivers are subject to approval of the Academic Director, Professional Programs. Note that such a waiver would allow students to take additional AI courses from outside the core list. In all cases, students must complete 1.5 FCEs in AI courses.

All course selections should be made in consultation with and approved by the Program Director. Appropriate substitutions may be possible with approval.

AER1513H – State Estimation for Aerospace Vehicles
AER1517H – Control for Robotics
CSC2501H – Computational Linguistics
CSC2502H – Knowledge Representation and Reasoning
CSC2503H – Foundations of Computer Vision
CSC2511H – Natural Language Computing
CSC2515H – Introduction to Machine Learning (exclusion: ECE1513H)
CSC2516H – Neural Networks and Deep Learning (exclusion: MIE1517H)
CSC2529H – Computational Imaging
CSC2533H – Foundations of Knowledge Representation
CSC2630H – Introduction to Mobile Robotics
ECE1512H – Digital Image Processing and Applications
ECE1513H – Introduction to Machine Learning (exclusion: CSC2515H)
MAT1510H – Deep Learning: Theory and Data Science
MIE1517H – Introduction to Deep Learning (exclusion: CSC2516H)