Computer Science - Artificial Intelligence Major (B.Sc.)

63–68 credits · Faculty of Science · 2026-2027 catalogue

Computer Science - Artificial Intelligence Major (B.Sc.) as a checklist, with when each course runs in 2026–27. On a computer, check off the courses you have taken or plan to take to add up your credits.

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Required Courses (36-39 credits)

  • COMP 202 Foundations of Programming (3 credits) · Offered: Summer, Fall, Winter
  • COMP 206 Introduction to Software Systems (3 credits) · Offered: Fall, Winter
  • COMP 250 Introduction to Computer Science (3 credits) · Offered: Fall, Winter
  • COMP 251 Algorithms and Data Structures (3 credits) · Offered: Fall, Winter
  • COMP 273 Introduction to Computer Systems (3 credits) · Offered: Fall, Winter
  • COMP 302 Programming Languages and Paradigms (3 credits) · Offered: Fall, Winter
  • COMP 303 Software Design (3 credits) · Offered: Fall, Winter
  • COMP 424 Artificial Intelligence (3 credits) · Offered: Fall
  • MATH 222 Calculus 3 (3 credits) · Offered: Summer, Fall, Winter
  • MATH 223 Linear Algebra (3 credits) · Offered: Fall, Winter
  • MATH 240 Discrete Structures (3 credits) · Offered: Fall, Winter
  • MATH 323 Probability (3 credits) · Offered: Summer, Fall, Winter
  • MATH 324 Statistics (3 credits) · Offered: Fall, Winter

Complementary Courses (24-26 credits)

Group A (6 credits)

6 credits selected from:

  • COMP 330 Theory of Computation (3 credits) · Offered: Fall, Winter
  • COMP 350 Numerical Computing (3 credits) · Offered: Fall
  • COMP 360 Algorithm Design (3 credits) · Offered: Fall, Winter

Group B (3 credits)

3 credits selected from:

  • COMP 310 Operating Systems (3 credits) · Offered: Fall, Winter
  • COMP 421 Database Systems (3 credits) · Offered: Winter

Group C (3–4 credits)

3 or 4 credits selected from:

  • COMP 451 Fundamentals of Machine Learning (3 credits) · Not scheduled for 2026–2027
  • COMP 551 Applied Machine Learning (4 credits) · Offered: Fall, Winter

Group D (3 credits)

3 credits selected from:

  • COMP 345 From Natural Language to Data Science (3 credits) · Offered: Winter
  • COMP 370 Introduction to Data Science (3 credits) · Offered: Fall

Group E (3–4 credits)

3 or 4 credits selected from:

  • COMP 417 Introduction Robotics and Intelligent Systems (3 credits) · Offered: Winter
  • COMP 445 Computational Linguistics (3 credits) · Offered: Fall
  • COMP 511 Network Science (4 credits) · Not scheduled for 2026–2027
  • COMP 514 Applied Robotics (4 credits) · Offered: Winter
  • COMP 545 Natural Language Understanding with Deep Learning (4 credits) · Not scheduled for 2026–2027
  • COMP 549 Brain-Inspired Artificial Intelligence (3 credits) · Not scheduled for 2026–2027
  • COMP 550 Natural Language Processing (3 credits) · Offered: Winter
  • COMP 558 Fundamentals of Computer Vision (4 credits) · Offered: Fall
  • COMP 562 Theory of Machine Learning (4 credits) · Not scheduled for 2026–2027
  • COMP 565 Machine Learning in Genomics and Healthcare (4 credits) · Offered: Fall
  • COMP 579 Reinforcement Learning (4 credits) · Offered: Winter
  • COMP 585 Intelligent Software Systems (4 credits) · Not scheduled for 2026–2027
  • ECSE 552 Deep Learning (4 credits) · Offered: Fall, Winter
  • ECSE 557 Introduction to Ethics of Intelligent Systems (3 credits) · Offered: Fall

Group F (6 credits)

6 credits of COMP courses at the 300 level or above (except COMP 396 Undergraduate Research Project. ).

Source: McGill Course Catalogue. myDegree is an independent student project, not affiliated with McGill University.