APPLICATION PROCEDURE FOR PROGRAMS WHOSE INTERNSHIP IS COORDINATED BY MILA OR WHOSE RESEARCH IS COORDINATED BY A DIRO PROFESSOR AFFILIATED WITH MILA
- These are the following 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).
Admission to all programs affiliated with Mila involves a two-step procedure:
STEP1 [*ONLY open from October 15th to December 1st*]- For the DESS in Machine Learning (217512) and Machine Learning Professional Masters (217510, segment 77), the first step is to fill in the application form found on smapply.
- For Research programs (MSc and PhD) supervised by a professor affiliated with Mila, the first step is to submit a superivsion request on the Mila website to help you find a supervisor. All instructions can be found here.
- Students applying for admission to programs affiliated with Mila are advised that there will be very little time between the date they are informed of their acceptance to the programs affiliated with Mila and the DIRO deadline. They should therefore prepare their applications to the DIRO at the same time as they complete STEP 1 of the admission procedure, 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 follow STEP 1 of the admission procedure. 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 programs that are not affiliated with Mila, 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 MSc programs affiliated with Mila.
- 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 statistiques
- IFT1015 Programmation 1
- IFT2015 Structures de données
- IFT2125 Introduction à l’algorithmique
- Having a sufficient knowledge of French, English and any other language necessary for research and study activities.
- Additional information concerning admission is given here: https://admission.umontreal.ca/admission/depot-de-la-demande/faire-parvenir-les-documents/ DIRO's Graduate Studies Committee must have obtained all the required documents, and your application for admission, before examining the application. You must provide the originals of the following documents: transcripts of all your studies, diplomas and your birth certificate.
- You will receive an email from the University of Montreal with the Notice of Decision. This Notice is your official letter giving you the decision concerning your admission to the program. This Notice allows foreign students to request their CAQ and Study Permit from the Immigration Department.
- You will have 30 working days to accept an admission offer in your Student Center - Synchro.
- If you are accepted into the program and you decide not to enroll in the program at the University of Montreal, you must notify the TGDE of the program of your withdrawal by e-mail ( cyclesup@iro.umontreal.ca ).
- If you have to delay your admission to the program in the chosen semester, you must postpone the admission by following the procedure at https://diro.umontreal.ca/english/programs/graduate-programs/masters-in-computer-science/admission/
- Payment terms are mentioned on our website at the following link: https://admission.umontreal.ca/admission/cycles-superieurs/frais-dadmission/
- Please note that documents must be sent to University of Montreal by uploading them to your Student Center – Synchro within 10 business days after submitting your online application. Address: https://admission.umontreal.ca/index.php?id=1277
The portal to fill in the application forms and supervision requests are open ONLY from October 15th to December 1st each year.
STEP2
The second step is to apply to the University of Montreal (DIRO) as a student in the desired program. Thus, all students, including those applying for Mila affiliated programs, must complete an admission form online on the University of Montreal website. 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.
To qualify for the DIRO as a student in the MSc program in Computer Science, the candidate must meet the following conditions:
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.
Further Information: