Studyportals
M.Sc. On Campus

Computer Science

University of Toronto

16 months
Duration
27520 CAD/year
6210 CAD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Department of Computer Science at the University of Toronto offers a graduate program leading to the Master of Science in in Computer Science.

Overview

About this Degree

Faculty in the Department of Computer Science are interested in a wide range of subjects related to computing, including programming languages and methodology, software engineering, operating systems, compilers, distributed computation, networks, numerical analysis and scientific computing, financial computation, data structures, algorithm design and analysis, computational complexity, cryptography, combinatorics, graph theory, artificial intelligence, neural networks, knowledge representation, computational linguistics, computer vision, robotics, database systems, graphics, animation, interactive computing, and human-computer interaction.

The MSc degree program at the University of Toronto is designed for students seeking to be trained as a researcher capable of creating original, internationally recognized research in computer science.

Computer Science courses are classified by Methodologies and Research Areas based on their content. Methodologies are core problem-solving approaches and/or techniques and general tools emphasized in the course material, while Research Areas are aligned with the activities of the various research groups in the department.

The MSc program can be taken on a full-time or part-time basis.

Programme Structure

  • Coursework. Completion of 2.0 graduate full-course equivalents (FCEs) in computer science. The courses must satisfy breadth in three of the four different Methodologies of Computer Science to ensure that MSc graduates have a breadth of skills for research and problem solving throughout their careers.

  • A major research paper (CSC4000Y; 1.0 FCE) demonstrating the student's ability to do independent work in organizing existing concepts and in suggesting and developing new approaches to solving problems in a research area. The standard for this paper is that it could reasonably be submitted for peer-reviewed publication.

Key information

Duration

  • Full-time
    • 16 months
  • Part-time
    • 30 months

Start dates & application deadlines

Credits

2 alternative credits

2.0 graduate full-course equivalents (FCEs)

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
B+

Other requirements

General requirements

  • Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Department of Computer Science's additional admission requirements stated below.

  • An appropriate bachelor's degree with a standing equivalent to at least a University of Toronto B+. Preference given to applicants who have studied computer science or a closely related discipline.

  • Applicants whose primary language is not English and who graduated from a university where the language of instruction is not English must achieve a Test of English as a Foreign Language (TOEFL) score of at least 580 on the paper-based test and 4 on the Test of Written English (TWE); 93/120 on the Internet-based test and 22/30 on the writing and speaking sections.

Tuition Fee

To alway see correct tuition fees
  • International

    27520 CAD/year
    Tuition Fee
    Based on the tuition of 27520 CAD per year during 16 months.
  • National

    6210 CAD/year
    Tuition Fee
    Based on the tuition of 6210 CAD per year during 16 months.

Living costs for Toronto

1502 - 2563 CAD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computer Science
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University of Toronto

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