Overview

Solve complex computer puzzles. Become an AI expert in mathematics, data preparation, and algorithms. Use case studies to resolve specific issues. Excel in a variety of sectors –– including financial technology, cybersecurity, and aeronautics –– and contribute to the future of technology, with LaSalle College Montréal's ACS in Machine Learning.

About the Program

Develop key skills that match the technical needs of the AI industries with LaSalle College Montréal's Machine Learning program (ACS).

Gain all the tools you need to get a job in the field of machine learning. Apply your knowledge to a variety of sectors, including FinTech, cybersecurity, aeronautics, and retail.

Upcoming Sessions

This program is offered in French and in English. Availability may vary. Please contact us to confirm if this program is available in your preferred language for the desired semester.

Start dateLanguageScheduleLocation
Jan 7, 2027

French

Full-Time - Daytime

Montréal - IN-CLASS LEARNINGApply now
May 10, 2027

French

Full-Time - Daytime

Montréal - IN-CLASS LEARNINGApply now

Admissions Criteria

Exceptions to these admission criteria may be applied.

Every application is reviewed by the College.

To be eligible for acceptance into an ACS program, applicants are generally required to meet one of the following criteria:

  • Have obtained a Diploma of College Studies (DCS) or equivalent in computer science; and

  • Have interrupted their full-time studies for at least two (2) consecutive semesters or one (1) full school year; or

  • Have followed post-secondary studies for a period of at least one (1) year; or

  • Have a Secondary School Diploma (DES) or a Diploma of Vocational Studies (DVS), and the program allows them to receive a technical training that is not available in a DCS program; or

  • Have an equivalent education or an instruction deemed sufficient and meet the admission criteria set for college studies.

List of Courses

ACS programs are based on DCS program curricula, but do not have general education courses like French, English, or Philosophy.

Concentration Courses

  • Creativity, innovation and critical thinking (45h)
  • Introduction to artificial intelligence (60h)
  • Calculus (60h)
  • Probability and statistics (45h)
  • Algorithms (60h)
  • Applied machine learning (75h)
  • Advanced data management (75h)
  • Machine learning and neural networks (60h)
  • Research, ethics, profession and artificial intelligence (75h)
  • Applied machine learning II (75h)
  • Convolutional neural networks for visual recognition (90h)
  • Recurrent neural network (75h)
  • Industrial applications (45h)

* The College reserves the right to substitute some courses.