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PROCEDURE FOR APPLYING TO MILA

  • The following programs are Mila programs:

    • Research degrees in the MSc program 217510 involving segments other than segment 77, such as segment 72 (Artificial Intelligence), if the research is carried out at MILA.
    • Research degrees in the PhD program 317510 if the research is carried out at Mila
    • Degrees from the Machine Learning Professional Masters with stage (217510, segment 77).
    • The DESS in Machine Learning (217512).

To be admitted to any Mila program you must be selected both by Mila and by the Department of Computer Science and Operational Research (DIRO).

 

  • Admission to all Mila programs involves a two-step procedure.

    1. The first step in the Mila-Admission process is to fill in the GOOGLE FORM found on the Mila web-site.

      • The portal to fill in the GOOGLE FORM is open ONLY from October 01th to December 01th each year.

       

    2. The second step in the MILA-admission process is to apply to the University of Montreal (DIRO) as a student in the desired program. Thus, all students, including those applying for Mila programs, must complete an admission form online on the University of Montreal website: https://admission.umontreal.ca/admission/depot-de-la-demande/demande-dadmission/. For the professional programs (DESS and professional MSc), the application to DIRO should be done within 4 day after receiving the notification of acceptance from Mila. For research programs (MSc and PhD), the application to DIRO should be submitted after receiving the confirmation of supervision from Mila.

     

  • Students applying for admission to Mila programs are advised that there will be very little time between the date they are informed of their acceptance to the Mila program and the DIRO deadline. They should therefore prepare their applications to the DIRO at the same time as they apply on the Mila website, so that they can apply to the DIRO on very short notice. Note that applying to DIRO through the University of Montreal website is a mandatory step, the admission or supervision notification from Mila does not constitute by itself an acceptation to the program.
  • Note that students applying to the program 217510 involving segments other than segment 77, such as segment 72 (Artificial Intelligence), involving projects that are not to be carried out at Mila but rather at the DIRO itself, should not submit an application on the Mila web-site. The same is true for students applying to the PhD program 317510 if the research is not to be carried out at Mila.
  • The description of how to qualify as a DIRO student is given elsewhere:
    https://diro.umontreal.ca/english/programs/graduate-programs/masters-in-computer-science/
    https://diro.umontreal.ca/english/programs/graduate-programs/phd-in-computer-science/
  • If you are a student interested in non-Mila programs, it is sufficient to look at the sites just mentioned. Some of the information given on the first of these two sites is repeated here, however, for the benefit of students carrying out the second step of their application to Mila MSc programs.

To qualify for the DIRO as a student in the MSc program in Computer Science, the candidate must meet the following conditions:

  • Hold a B.Sc. degree in computer science or another relevant degree, all degrees having been successful with an average of at least 3,0/4,3 or equivalent, or certified training deemed equivalent.
  • Have successfully completed a minimum of 40 credits of university courses, or the equivalent, in computer science and mathematics, including the following courses (or their equivalents):

    • MAT1400 Calcul 1
    • MAT1600 Algèbre linéaire 1
    • MAT1978 Probabilités et statistiqueà
    • IFT1015 Programmation 1
    • IFT2015 Structures de données
    • IFT2125 Introduction à l’algorithmique

         Otherwise the department may impose additional courses.

It is also assumed that the student has some proficiency in programming (the equivalent of the content of the course IFT1015). This may be crucial for success in some courses, such as IFT2015.

  • Having a sufficient knowledge of French, English and any other language necessary for research and study activities.

 

Further Information: