Mila collaborates in managing the professional programs in machine learning at the Université de Montréal, particularly in the selection process and researching and coordinating internships for students.
Most courses are taught by professors affiliated with Mila and many are held in our spaces on Saint-Urbain Street. Depending on the option chosen, students have the opportunity to do one or more internships and benefit from connections between Mila and organizations that are looking to integrate new technologies into their products and services.
The recruitment period for new Mila students (DESS and Professional Master’s in machine learning) runs from October 15 to December 1, 2022. Applicants who are selected by Mila will be notified at the end of January.
Detailed guidelines for applying to this program are available on this page on the DIRO website. Please read those guidelines carefully.
The first step of the application process is to complete the online Mila application form. We will send a message acknowledging that we have received the application and a professor will examine your application. If you are accepted at Mila, you will then need to complete an application to Université de Montréal’s Masters in Computer Science (internship option – program 217-510 segment 77) or the D.E.S.S in Machine Learning (217512). Note that there will be very little time between the date you are informed of acceptance to the Mila program and the Université de Montréal deadline. You should prepare your application for Université de Montréal at the same time as you prepare the one for Mila. If you are accepted, you should start the student permit / visa process as soon as possible (unless you are a Canadian citizen or permanent resident).
Mila believes in the immense richness of a diversified and inclusive community. As part of its equity, diversity and inclusion (EDI) action plans and policies, Mila has recently launched an EDI Scholarships Program to ensure the strong participation of women in the AI ecosystem and to encourage diversity as a lever for innovation in research:
To learn more about the program, click here.