Toronto,
ON,
Canada
Type
Public
Degrees offered
Bachelor's Degree
MSc in Applied Computing - Data Science in Toronto Canada | University of Toronto
University of Toronto
|
Toronto Canada
Visit institution website
for more information
Qualification
Masters Degree
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
CAD
45,420
(c. USD33,183.26)
Attendance
Full-time
Full-time Duration
16 months
The University of Toronto's Master of Science in Applied Computing (MScAC) Program focuses on training tomorrow's leading innovators. Offering specializations in Artificial Intelligence, Applied Mathematics, Computer Science, Data Science, and Quantum Computing, our curriculum delivers an exceptional educational journey. Students gain insights from top-tier professors about advancements in emerging technologies while applying their learning through hands-on research internships with our industry partners. The MScAC program offers an unmatched academic environment.
Statistical science originated from multiple scientific fields, built its theoretical framework through mathematics, and has grown to be fundamentally connected with scientific computing, machine learning, and computer science. Data Science education embodies this progression, transforming it into practical learning experiences. Data Science has developed in response to our expanding capacity to produce vast amounts of data and our growing dependence on it across all areas of human activity. This field's significance has created a novel professional role - the Data Scientist.
Destination of Study
Subjects of Study
Language Requirements
English
IELTS 7.0
Qualification Requirements
Completed or be the process of completing an appropriate undergraduate degree for the concentration they are applying to.
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).
If you completed your undergraduate degree outside of Canada, please use the University of Toronto's International Credentials Equivalencies Tool to determine what credentials are required for admission.
Achieved English-language proficiency according to the requirements set by the School of Graduate Studies.
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.
Applicants are required to submit the following documents:
Copies of all academic transcripts pertaining to qualifications gained from undergraduate onwards (high school certificates are not required).
Resume/CV (12 pages in length)
Answers to program-specific questions addressing their interest in the preferred concentration(s) and objectives for the program.
Details of three referees (names, affiliations i.e university/company, and e-mail addresses).
English Language Proficiency (ELP) test scores (if applicable).
Graduate Record Examination (GRE) scores (if applicable).
Any other relevant information you would like to share with the admissions committee e.g. links to projects, research papers, personal Github repos, etc.
Academic transcripts
CV/Resume
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.
IELTS - Minimum required score 7.0 (Academic) with at least 6.5 for each component.
TOEFL IBT - Overall Score - 93, Writing and Speaking- 22, TOEFL Paper-based Test - Overall Score 580, TWE: 5
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).
If you completed your undergraduate degree outside of Canada, please use the University of Toronto's International Credentials Equivalencies Tool to determine what credentials are required for admission.
Achieved English-language proficiency according to the requirements set by the School of Graduate Studies.
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.
Applicants are required to submit the following documents:
Copies of all academic transcripts pertaining to qualifications gained from undergraduate onwards (high school certificates are not required).
Resume/CV (12 pages in length)
Answers to program-specific questions addressing their interest in the preferred concentration(s) and objectives for the program.
Details of three referees (names, affiliations i.e university/company, and e-mail addresses).
English Language Proficiency (ELP) test scores (if applicable).
Graduate Record Examination (GRE) scores (if applicable).
Any other relevant information you would like to share with the admissions committee e.g. links to projects, research papers, personal Github repos, etc.
Academic transcripts
CV/Resume
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.
IELTS - Minimum required score 7.0 (Academic) with at least 6.5 for each component.
TOEFL IBT - Overall Score - 93, Writing and Speaking- 22, TOEFL Paper-based Test - Overall Score 580, TWE: 5
Tuition
CAD
45,420