MS in Applied Computing in Data Science atUniversity of Toronto Department of Computer Science

Duration

16 months (Full Time)

Course Level

PG Degree

International Students Admission Website

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Type of University

Public

Year of establishment

1827

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.
Download Curriculum for a detailed course information.

Ranking

  • University Rankings
    • #22

      - ARWU (Shanghai Ranking) 2022

    • #34

      - QS 2023

    • #18

      - THE (Times Higher Education) 2023

    • #18

      - US News & World Report 2023

Fees & Expenses
1st year tuition fees
Fees componentsAmount
Tuition & feesINR 33,76,406
Other expenses in 1st Year
Fees componentsAmount
Hostel & MealsINR 7,37,940
InsuranceINR 46,305
TotalINR 7,84,245

Calculated at the exchange rate of 1 CAD = INR 61.25

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Tuition & expenses were last updated on 6ᵗʰ April 2023

Entry Requirements

QualificationEntry Criteria
12th

No specific cutoff mentioned

Graduation

No specific cutoff mentioned

  • Completed or be the process of completing an appropriate undergraduate degree for the concentration they are applying to.

  • 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.

  • 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.

  • 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).

  • 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

3 year degree accepted

Yes

  • Three year bachelor's degree is also acceptable

TOEFL

Marks - 93/120

  • Minimum of 22 on both the Writing and Speaking sections

IELTS

Marks - 7/9

  •  with at least 6.5 for each component.

Conditional Offer

Not mentioned

Application Process

Step 1: Prepare documents for application

LOR
  • Three letters of support from faculty members and/or employer required
    • Ideally, at least two of the referee letters should be academic references
  • Details of three referees (names, affiliations i.e university/company, and e-mail addresses)

Step 2: Additional documents required

Step 3: Start your online application

Step 4: Application fees for this course

Scholarships
Ontario Graduate Scholarship- Other Master Programs
Rs. 3,00,900
Engineering,Computers,Science + 5 more
J P Song Scholarship for Excellence in ESL Learning
Rs. 60,360
Engineering,Computers,Science + 5 more
Archibald Macmurchy Memorial Scholarship
Not available
Engineering,Computers,Science + 5 more

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University of Toronto

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