Master of Science [M.S] (Computer Science)
Field of Study:
$16,122 /Yr
The master's degree comprises a minimum of 45 credits. It is offered with the following options:
- The General option (Segment 70), which can be taken according to the following methods: dissertation (MM), internship (ST), or tutorials (TD).
- The Automatic learning option (segment 77), which is followed according to the modality with stage (ST).
Important Dates
Event | Application Date |
---|---|
Application Deadline For Autumn 2024 Intake | |
Application Deadline For Summer 2025 Intake | Feb 1, 2025 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $16122 (CAD 21786) |
Eligibility & Entry Requirement
Academic Eligibility:
- Applicants must hold a specialized B. Sc. (computer science), or a diploma adequately preparing him for the studies he wants to undertake or attest to a training deemed equivalent
- They must have obtained, in the 1st cycle, an average of at least 3.0 out of 4.3 or the equivalent
- They should have already successfully completed a minimum of 40 credits of university courses (or the equivalent) in computer science and mathematics, including courses in calculus, linear algebra, probability and statistics, data structures and algorithmics; the Department may, otherwise, impose preparatory and complementary courses.
Scores Required
![Times Higher Education logo](https://images.collegedunia.com/public/college_data/images/agencyLogo/the_logo1546499408.png?h=48&w=101&mode=stretch)
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Similar Programs
Program | Important Date | Total Fees | Median Exams Score | Action |
---|---|---|---|---|
USD 14,581 /Yr CAD 19,704 /Yr |
| |||
Application Deadline For 2025 Intake (15th Dec 2024) | USD 9,058 /Yr CAD 12,240 /Yr |
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Application Deadline For Winter Intake (1st Dec 2024) Application Deadline For Summer Intake (1st Apr 2025) | USD 17,531 /Yr CAD 23,690 /Yr |
| ||
Application Deadline For Winter Intake (1st Oct 2024) | USD 18,168 /Yr CAD 24,552 /Yr |
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Application Deadline For Fall 2025 Intake (1st Feb 2025) | USD 10,795 /Yr CAD 14,588 /Yr |
|
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Career and Placement after Course
Career opportunities can be found as:
- Database administrator
- Webmaster
- IT systems security specialist
- Analyst Programmer
- Computer network manager
- IT consultant
- Multimedia product designer
- Software designer
- Multimedia assembler-integrator
- IT systems architect
- Business IT analyst
- IT analyst
- IT systems administrator
- Multimedia project manager
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Aga khan Foundation Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
ASID Foundation Legacy Scholarships | Scholarship per student$ 2,960/Yr$4,000 | Level Of StudyBachelor | TypeMerit-Based | |
Rotary Foundation Scholarships- Global Grants | Scholarship per student$ 29.6 L/Yr$4,000,000 | Level Of StudyMaster | TypeCompany-Sponsored | |
Bharat Petroleum Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
BrokerFish International Student Scholarship | Scholarship per student$ 740/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
Generation Google Scholarship Canada & USA | Scholarship per student$ 7,400/Yr$10,000 | Level Of StudyBachelor | TypeMerit-Based |
Reviews
15 Reviews Found
- Likes:
- My supervising professor Prof. Eugene Syriani and the project on which I was working are the main reason for choosing this University. The topic inclines with my area of interest and hence I choose this univeristy.,
- University Of Montreal is one of the most premier institutes in Canada for ML Research. The diversity of the college is the most attractive part, people from around the world sharing the experience both professional and personal helps me grow myself. My Research Group deals with Model Driven Engineering and it is the best research group in country in this domain.
- Dislikes:
- The only problem is that this is a French University so it's a bit hard for anglophones to manage but its still easily manageable. Most of the things can be converted using Google Translate and most of Graduate Courses are either bilingual or have an English version.
Well my overall experience so far is amazing. I learnt a lot and my Research areas are now more clear. I would say this experience not only tech me professionally but also helps me grow personally. People from various culture and experience share their life and it is always amazing to listen their stories.
- Likes:
- Many of the biggest names in ML teach or supervise courses here. I even had a representation learning (Deep Learning) class taught by none other than professor Aaron Courville (one of the three authors of the Deep Learning book, which is THE book.),
- The ML and DL courses in particular imo are some of the best, taught by some of the best professors (top researchers affiliated with MIla, Quebec, are usually professors in UdeM or McGill) in the field.,
- As an IUT student at McGill as well, I would whole heartedly say UdeM has better ML/DL courses than most of the top 20 Universities in the world. UdeM also ranks top 50 in QS specifically for CS overall as well, but the ML courses are really really good.
- Dislikes:
- There is a language issue for a lot of the subjects because it is a French University after all, however anyone pursuing a graduate course under DIRO (CS dept) can take take the English version of the classes.,
- Most (I think all) ML professors affiliated with Mila (Yosua Bengio's ML research lab) teach in English. Mila = English but specifically for undergraduate classes I believe there are no English options.
My personal experience has been top notch. Being a student at UdeM is quite something once you open the course registration every semester and look at the subjects being offered for ML and the person whos is teaching it. The courses are hard and require work but the evaluation is fair and the teaching faculty are the same people who original wrote papers on the stuff that's being taught. Professors are approachable and listen to feedback, there are tons of networking opportunities and you are always surrounded by a cohort that helps you improve. Montreal as a city itself is perhaps my favorite city in North America and probably a students dream come true. Every semester students can also take up to two courses from another University too. Needless to say, I really think the experience is worth it.
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