Professional Masters in Machine Learning

The professional masters in machine learning combines specialized coursework, with emphasis on Mila artificial intelligence classes, and work experience in the artificial intelligence industry.

Applicants should consult Mila recruitment procedure, indicating they are applying for the industrial masters. Once accepted, they can apply to the relevant department, and Mila will take care of finding internship and guiding the students during their work.

Mandatory classes

1st semester
6390 Fondements de l’apprentissage machine
6758 Science des données

2nd semester
6135 Apprentissage de représentations
6759 Projets avancés en apprentissage automatique

Note that 6390, 6758 and 6135 are taught in English.

Expected knowledge to succeed in the program

Sufficient knowledge in computer science and mathematics is expected to enter the program (and is one of the criteria evaluated by the admission committee). In particular, the program builds upon the syllabus of the following courses (or their equivalent), which should be mastered by students of the program:

  • MAT1400 – Calcul 1 (calculus)
  • MAT1600 – Algèbre linéaire 1 (linear algebra)
  • MAT1978 – Probabilités et statistique (probability and statistics)
  • IFT2015 – Structures de données (data structures)
  • IFT2125 – Introduction à l’algorithmique (algorithms)

If sufficient knowledge of these topics is not satisfied, the department may impose additional courses (note that these additional courses are taught in French).

To get a clear idea of the prerequisites needed for the program, we invite you to consult the prerequisites page for the course IFT 6390 – Fondements de l’Apprentissage Machine, which is one of the first courses of the program.

It is also assumed that students have some proficiency in programming (the equivalent of the content of the course IFT1015).

Recommended classes

Université de Montréal: Masters in Computer Science (internship option)

The program starts with 6 graduate level classes. This is followed by a 6 months internship in industry or in an academic laboratory. Students are supervised by a professor and a staff member from Mila research and development team, who provide daily guidance and linkage with industrial partners.

Internship procedure
Internship documents (French)

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