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MS in Applied Computing in Data Science
at University of Toronto, Toronto

4.3 /5

(20 Reviews)

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#1 in MS in Canada

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Public University
Department of Computer Science

MS in Applied Computing in Data Science
at
University of Toronto
Overview

Department of Computer Science at University of Toronto offers MS in Applied Computing in Data Science. The 16 months Degree course has primary stream as IT & Software. The University of Toronto tuition fees for international students is CAD 58350.0. The Degree course offered by the at University of Toronto requires IELTS and TOEFL. Graduation cutoff for admission is CGPA - 8.0/10.

Duration	16 months
Course Level	PG Degree
Mode of Course	Full Time
International Students Admission Website	Go to Website
Tuition & Fees	₹35.07 Lakh View full breakup
English proficiency exam waiver applicable	Yes
Type of University	Public
Official Career Service Website	Go to Website

MS in Applied Computing in Data Science
at
University of Toronto
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 35,06,835

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 10,10,942
Insurance	INR 45,436
Transportation	INR 42,971
Books	INR 66,110
Application Fee	INR 7,512
Internet, phone bill	INR 97,662
Clothing	INR 45,075
Entertainment and other expenses	INR 1,20,200
Total approximate fees	INR 14,35,908

Calculated at the exchange rate of 1 CAD = INR 60.1 | Tuition & expenses were last updated on 4ᵗʰ February 2025

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MS in Applied Computing in Data Science
at
University of Toronto
Curriculum

Latest curriculum for MS in Applied Computing in Data Science at University of Toronto can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at University of Toronto

MS in Applied Computing in Data Science
at
University of Toronto

Frequently Asked Questions

MS in Applied Computing in Data Science
at
University of Toronto
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

CGPA - 8/10
An appropriate bachelor’s degree from a recognized university in a related area such as statistics, computer science, mathematics, or any discipline where there is a significant quantitative component

A standing equivalent to at least B+ (U of T 77-79%) in their final year (i.e., two terms) of study (the equivalent of 5 full credits, or 10 half credits)

The program will consider admitting candidates without an undergraduate degree in computer science, statistics, or a related field, but who show a demonstrated aptitude to be an excellent data scientist. Applicants should be able to demonstrate a potential to conduct and communicate applied research at the intersection of computer science, statistics, and a domain area. Background academic preparation to be successful in graduate-level computer science and statistics courses typically, though not always, includes intermediate or advanced undergraduate courses in the following topics:

Algorithms and Complexity, Database Systems, or Operating Systems.

Statistical Theory/Mathematical Statistics, Probability Theory, or Regression Analysis

India specific requirements:-
Minimum GPA: 1st Class/Div or 8.0/10; 7.5/10 from Indian Institutes of Technology

A Minus GPA: 1st Class/Div or 9/10; 8.5/10 from Indian Institutes of Technology

B Plus GPA: 1st Class/Div or 8.5/10; 8/10 from Indian Institutes of Technology

Bachelors Equiv: Bachelor`s Degree, requiring a minimum of 4 years of study (e.g. BPharm, MBBS, BDS, BTech, BEng, BArch, etc.) or completion of BOTH a Bachelor`s (three-year) degree and a Master`s

Masters Equiv: MPhil; MTech; MEng; MSc (Eng)
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TOEFL

Marks - 93/120
Overall Score: 93
Writing/Speaking: 22

Register for TOEFL iBT® Test Today and get ?1500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
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IELTS

Marks - 7/9
7.0 (Academic) with at least 6.5 for each component.

Get a Full FREE IELTS Prep Course with Shiksha Study Abroad â€“ Limited Seats for Weekend & Weekday Batches! Register now for IELTS

GRE

Marks - 326/340
Applicants who have not previously gained (or are about to gain) a degree from a Canadian university are encouraged to submit GRE test scores. Scores are not mandatory to provide and will not be taken as a substitute where academic grades do not meet the eligibility requirements.

Average scores are within the 80th percentile for Verbal (158+) and 95th percentile for Quantitative (168+).
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Work Experience Lock Icon

Work experience (including co-op placements or internships) is preferred, but not required.

Research experience (including summer research assistantships or internships) is preferred, but not required.

Other eligibility criteria Lock Icon

Applicants may be asked to do a technical interview as part of the application process.

Which exams out of the above do I need to give?

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MS in Applied Computing in Data Science
at
University of Toronto
Application Process

Step one

Prepare documents for application

LOR

Three letters of support from faculty and/or employers with preference for at least one such letter from a faculty member in Computer Science/Statistical Sciences.

Resume/CV (1–2 pages in length)

Step two

Additional documents required

Copies of all academic transcripts pertaining to qualifications gained from undergraduate onwards (high school certificates are not required).
Answers to the program-specific questions addressing their interest in the preferred concentration(s) and objectives for the program.
Proof of english language proficiency
Copy of passport

Step three

Start your online application

https://mscac.utoronto.ca/apply/

Step four

Application fees for this course

CAD 125 = INR 7.51 Thousand

Mode of payment: Credit card

Step five

Application deadline

Fall (Sept): 2nd Dec

*The dates specified are tentative dates as per the previous year records. Our expert counselors can help with exact deadline date. Connect with the expert now!

MS in Applied Computing in Data Science
at
University of Toronto
Rankings

Course Ranking

University Ranking

Rank	Rank Publisher
#11	Pharmacy and Pharmacology QS, 2024
#25	PG Computer Science THE (Times Higher Education), 2024
#19	Mathematics ARWU (Shanghai Ranking), 2023

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MS in Applied Computing in Data Science
at
University of Toronto
Placements

Particulars	Statistics (2023)
Internship Available	Yes, Students will have the oppurtunity to complete an eight-month industrial internship. The internship is coordinated by the department, and evaluated on a pass/fail basis.

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MS in Applied Computing in Data Science
at
University of Toronto

Students also asked

University of Toronto
Students Ratings & Reviews

4.3/5

18 Verified Reviews Info Icon

Vibe of Campus

Academically oriented
Multi-dimensional
Stressful
Liberal

Student Views

50% students never faced discrimination in this university

Internships4.2

Part time work3.9

Post study jobs4.2

Quality of faculty4.3

Student Life4.1

Value for money4.1

Public transportation4.7

Safety4.4

Indian Food4.4

Permanent Immigration4.4

Anurag Pareej Verified Icon

BSc (Hons) in Biology for Health Sciences/ Master of Teaching - Batch of 2028

Offered by University of Toronto

4.3

The university is great although highly competitive and academic.

Tips: It is a world-class institution, but it is highly competitive. You will have to study a lot to survive. A transition from high school is natural. I am here on a 50% scholarship. You can apply for it. Overall, I am very satisfied with the University of Toronto.

Likes (Safety): I rated the University of Toronto high on safety because I felt safe on campus and in the surrounding areas. I never saw any shootings, and campus police are available at all hours. The university also provides multiple emergency contacts for students. The only potential risk I saw was from homeless people at night, but even then I felt safe.

Dislikes (Part time work): I rated the University of Toronto low on part-time work because campus and off-campus jobs are easily available. However, the university is highly competitive, and most students don't have time for part-time work. Some jobs are even available remotely, such as being a PA or TA, which can pay up to 500 CAD per week or 2000-2400 CAD per month.

Reviewed on 27 Oct 2024Read more

Karishma Punjabi Verified Icon

BSc Hons in Psychology - Batch of 2023

Offered by University of Toronto

4.3

University of Toronto (Scarborough) - smaller campus, better exposure, better opportunities.

Tips: Getting out of your comfort zone is essential at the beginning of your studies at the University of Toronto. You will need to adapt to the weather and the people, and there will be a cultural shift because there are people from all around the world. Do not shut any experience off. Make connections with faculty members because they will nominate you for scholarships and awards. Overall, since this is a smaller campus, the exposure is great, and the opportunities are tremendous. Build connections and network well. This is the only campus that offers co-ops, so join a co-op programme and get experience while you are studying.

Likes (Student Life): Since I'm on the smaller campus, you get to know everyone. I participated in extracurricular and joined multiple clubs, gaining experience and friendships. It is easy to start with the mentorship programs and then work with a senior mentor to guide you through academic, social and extracurricular on campus.

Dislikes (Post study jobs): You don't need visa sponsorship from your job because you qualify for an open work permit. With psychology, it was easier to get into mental health than psychology but since that was not my area of interest, I added a minor - Statistics and Food Studies. Statistics helped me realize that I want to be a data analyst. It was easier to find jobs in this field.

Reviewed on 10 Oct 2024Read more

Raghav Kumar Prasad Verified Icon

Bachelor of Applied Science in Computer Engineering - Batch of 2027

Offered by University of Toronto

3.9

Great, academically oriented university to study from but expensive.

Tips: In the beginning, you would feel a big cultural shock as the place and its education are quite different from that in India. But, you would find many people from India and all around the world who are willing to talk, know about you and share their experiences. However, once the years progress you will feel a sense of competition which is a good thing, as everyone becomes more aware and concerned about their future. Also, the university provides us opportunities to experience and learn about several different fields and sub-fields of study in the giant universe of ECE, where each sub-field could have a different career path. The university also has resources like ECC and others to help you prepare for the jobs, but securing a job is quite difficult in my field of study, especially at this economic phase. Regarding the scholarships, I didn't receive any and many of my international friends didn't either. Most scholarships require you to be a Canadian citizen or PR but there are exceptions and few international students do get the scholarships. Overall, I am quite satisfied with my university, course and country.

Likes (Quality of faculty): I think the faculty is quite easy to access and approach and is highly knowledgeable in their concepts and field of study. There is more focus on hands-on learning through practicals than most other colleges though the weightage of it towards the overall course grade is usually few, they prefer to put more weightage towards written exams. In terms of diversity, you would find teaching faculty coming from all around the globe, China, Egypt, India, Pakistan, Switzerland, and so many others.

Dislikes (Part time work): I think it is easy to find a part-time job in this area but doing a part-time job while studying is quite difficult for an undergrad ECE student at UofT. Most technical courses are workload-heavy with several lengthy assignments which spare little to no free time. Maybe for Masters, the picture would be different.

Reviewed on 4 Sep 2024Read more

Anonymous

MSc Applied Computing in Artificial Intelligence - Batch of 2022

Offered by University of Toronto

4.3

Good campus, great internship support from the college and a great city.

Tips: Canada is very welcoming. I did not experience a cultural shift because I have lived abroad before. I did apply for a scholarship but unfortunately could not get the scholarship but I know many people who got one. The course is good for quickly getting Canadian working experience. It is however not the best course if you want a classroom experience because you only take 4-5 classes a week.

Reviewed on 11 Jun 2024Read more

Vignesh Edithal Verified Icon

MSc Applied Computing in Artificial Intelligence - Batch of 2023

Offered by University of Toronto

4.8

Hardworking and friendly folks

Tips: UofT provides you with tremendous opportunity to boost your career. Alumni are friendly. You can participate in a plethora of activities with students from other departments. There are not many scholarships available at Master's level but a lot for Ph.D.

Likes (Student Life): UofT campus is always buzzing with activities and events. It is easy to find a peer group and have some fun while learning new skills. During orientation you will get an opportunity to enroll in a vast array of clubs. There is always free food at some or the other event on the campus where you can make friends.

Dislikes (Part time work): All upcoming students get an option to apply for Teaching Assistantship roles. Moreover, students can connect with faculty members for Research Assistantship roles. Alumni is very friendly, you can reach out to them for part time roles in the industry.

Reviewed on 30 Jan 2024Read more

View All 20 Reviews

MS in Applied Computing in Data Science
at
University of Toronto
Highlights

Data Science concentration offers students an advanced understanding of statistical and computer science methods.
The programe will give students vigereous research training and the opportunity to test your knowledge in the real world through our applied research internship.
The goal of data science is to acquire knowledge from data.
The field is rapidly progressing with data collection and processing technologies and has origins in statistics and computer science.