MS in Applied Computing in Data Science
4.0 /5
- Public University
Department of Computer Science
Talk to ExpertMS in Applied Computing in Data Science at U of T Overview
Duration | 16 months Get Curriculum |
Tuition & Fees | ₹36.86 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Applied Computing in Data Science at U of T Fees
To get admission in MS in Applied Computing in Data Science at University of Toronto students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is CAD 58,350. In addition to this students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 36,85,885 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 11,08,998 |
| Insurance | INR 50,809 |
Calculated at the exchange rate of 1 CAD = INR 67.20793 | Tuition & expenses were last updated on 26ᵗʰ December 2025MS in Applied Computing in Data Science at U of T Curriculum
Candidates interested in the University of Toronto MS in Applied Computing in Data Science course can easily download the detailed curriculum by clicking the green button below. The disciplines that will be taught during the program, the different electives that students can select from, and other crucial course material are all included in one extensive PDF. It also includes a synopsis of the course structure per semester, which helps potential students see how their academic path will develop over time.
Download exam sample paper
MS in Applied Computing in Data Science at U of T Entry Requirements
- No specific cutoff mentioned
- CGPA - 8/10
- Read less
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Completed or be the process of completing an appropriate undergraduate degree for the concentration they are applying to.
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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).
- Data science requirement:
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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.
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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:
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Algorithms and Complexity, Database Systems, or Operating Systems.
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Statistical Theory/Mathematical Statistics, Probability Theory, or Regression Analysis.
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- 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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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
- A three-year bachelor's degree is only accepted if it is followed by a master's degree
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 93/120
- Writing/Speaking: 22
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Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL
- Marks - 7/9
- with at least 6.5 for each component.
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- No specific cutoff mentioned
- It is strongly recommended that GRE test scores are submitted. This is not a mandatory requirement, but good scores will strengthen an application.
- Work experience including co-op placements or internships is preferred, but not required
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Research experience including summer research assistantships or internships is preferred, but not required
MS in Applied Computing in Data Science at U of T Frequently Asked Questions
MS in Applied Computing in Data Science at U of T Application Process
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References: The MScAC program requires three letters of support from faculty members and/or employers. Ideally, at least two of the referee letters should be academic references. However, given the nature of the program, it is entirely appropriate to use referees who have an industry background and been in a senior or supervisory capacity. If a referee does not have an institutional email and is using a non-institutional e-mail address (Gmail, Hotmail, etc.), details of their professional profile, such as a faculty/LinkedIn page, must be included in the “Additional Information” section of the application form.
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Applicants will need to provide a resume or CV detailing educational, professional, and other experience. Depending on their personal experiences
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Copies of all academic transcripts pertaining to qualifications gained from undergraduate onwards (high school certificates are not required).
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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.
MS in Applied Computing in Data Science at U of T Rankings
| Rank | Rank Publisher |
|---|---|
| #12 | |
| #22 | |
| #20 |
MS in Applied Computing in Data Science at U of T 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. |
MS in Applied Computing in Data Science at U of T Students also asked
University of TorontoStudents Ratings & Reviews
41 Verified Reviews- 25% students never faced discrimination in this university
MS in Applied Computing in Data Science at U of T 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.
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