Computer Science: Applied Computing MScAC

​Master of Science in Applied Computing​

The MScAC program is offered as a general program (no concentration) or as an Applied Mathematics or Data Science concentration. The Data Science concentration is offered jointly by the Department of Computer Science and the Department of Statistical Sciences.

 

MScAC General Program (No Concentration)

Minimum Admission 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 in computer science.

  • A minimum average grade of B+ over the final two years of undergraduate studies.

  • Applicants whose primary language is not English and who have graduated from a university where the primary 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.

  • Three letters of support from faculty and/or employers.

  • A statement of purpose.

Program Requirements

  • Coursework. Completion of 3.0 full-course equivalents (FCEs) including:

    • 1.0 FCE in required courses: technical communications (CSC 2701H) and technical entrepreneurship (CSC 2702H).

  • An eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department, and evaluated on a pass/fail basis.

  • There is no thesis requirement.

Program Length

4 sessions full-time (typical registration sequence: F/W/S/F)

Time Limit

3 years full-time

 

MScAC Program (Applied Mathematics Concentration)

Minimum Admission 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 from a recognized university in a related area such as applied mathematics, mathematics, physics, computational mathematics, statistics, computer science, or any discipline where there is a significant quantitative and/or mathematical component. The completed bachelor’s degree must include significant exposure to advanced mathematics, statistics, and computer science, including coursework in advanced and multivariate calculus (preferably analysis), linear algebra, probability and statistics, programming languages, and general computational methods.

  • A minimum average grade of B+ or equivalent over the final two years of undergraduate studies.

  • Applicants whose primary language is not English and who have graduated from a university where the primary 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.

  • Three letters of reference from faculty and/or employers, with preference for at least one such letter from a faculty member in Mathematics or Applied Mathematics.

  • A statement of purpose (limited to 500 words) explaining the applicant's interest in applied mathematics and objectives for the program.

  • Applicants must indicate a preference for a concentration in Applied Mathematics in their application. Admission is competitive, and students who are admitted into the MScAc program are not automatically admitted to this concentration upon request.

Program Requirements

  • Coursework. Completion of 3.0 full-course equivalents (FCEs) including:

    • 1.0 FCE chosen from the MAT 1000-level courses or higher. This may include courses cross-listed as APM400 level.

    • 1.0 FCE chosen from the Computer Science (CSC course designator) graduate course listings.
    • 1.0 FCE in required courses:

      • CSC 2701H Communication for Computer Scientists (0.5 FCE) and

      • CSC 2702H Technical Entrepreneurship (0.5 FCE).

    • Course selections should be made in consultation with the Program Director.

  • An eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department and evaluated on a pass/fail basis.

Program Length

4 sessions full-time (typical registration sequence: F/W/S/F)

Time Limit

3 years full-time

 

MScAC Program (Data Science Concentration)

Minimum Admission 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 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 completed bachelor’s degree must include significant exposure to statistics, computer science, and mathematics, including coursework in advanced calculus, linear algebra, probability and statistics, programming languages, and computational methods.

  • A minimum average grade of B+ over the final two years of undergraduate studies.

  • Applicants whose primary language is not English and who have graduated from a university where the primary 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.

  • Three letters of support from faculty and/or employers.

  • A statement of purpose.

  • Applicants must indicate a preference for a concentration in Data Science in their application. Admission is competitive, and students who are admitted to the MScAC program are not automatically admitted to this concentration upon request.

Program Requirements

  • Coursework. Completion of 3.0 full-course equivalents (FCEs) including:

    • 1.0 FCE chosen from the STA 2000-level courses or higher. This may include a maximum of 0.5 FCE chosen from the STA 4500-level of six-week modular courses (0.25 FCE each).

    • 1.0 FCE chosen from the Computer Science (CSC course designator) graduate course listings.

    • 1.0 FCE in required courses:

      • CSC 2701H Communication for Computer Scientists (0.5 FCE) and

      • CSC 2702H Technical Entrepreneurship (0.5 FCE).

    • Course selections should be made in consultation with the Program Director.

  • An eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department and evaluated on a pass/fail basis.

  • There is no thesis requirement.

Program Length

4 sessions full-time (typical registration sequence: F/W/S/F)

Time Limit

3 years full-time