The program information below was valid for the fall 2019 term (September 1, 2019 - December 31, 2019). This is the archived version; the most up-to-date program information is available through the current Graduate Studies Academic Calendar.

The Graduate Studies Academic Calendar is updated 3 times per year, at the start of each academic term (January 1, May 1, September 1). Graduate Studies Academic Calendars from previous terms can be found in the archives.

Students are responsible for reviewing the general information and regulations section of the Graduate Studies Academic Calendar.

  • Admit term(s) 
    • Fall
    • Winter
    • Spring
  • Delivery mode 
    • Online
  • Program type 
    • Master's
    • Professional
  • Registration option(s) 
    • Part-time
  • Study option(s) 
  • Minimum requirements 
    • An Honours Bachelor's degree (or equivalent) with a minimum 75% standing in the last two years.
    • Background in quantitative methods (e.g., Calculus, Linear Algebra, Probability and Statistics).
    • All applicants must submit a "Statement of Purpose” - a one page statement addressing their academic background and future goals.
    • Applicants who fall slightly below the minimum academic requirements may be considered for admission as conditional or probationary students.
  • Application materials 
    • Résumé/Curriculum vitae
    • Supplementary information form
    • Transcript(s)
  • References 
    • Number of references:  2
    • Type of references: 

      at least 1 academic

  • English language proficiency (ELP) (if applicable)

    Coursework option:

  • Graduate Academic Integrity Module (Graduate AIM)
  • Courses 
    • Students must demonstrate competency in the material covered by the following 6 courses:
      • MSCI 602 Principles of Management of Technology
      • MSCI 603 Principles of Operations Research
      • MSCI 605 Organizational Theory & Behaviour
      • MSCI 606 Foundations of Senior Management
      • MSCI 607 Economic Concepts for Management
      • MSCI 609 Quantitative Data Analysis for Management Sciences
    • Students in the program must take at least 2 additional courses, totaling a minimum requirement of 8 courses overall (0.50 unit weight per course/4 units of credit). These courses must be at the 600 and 700 level. Students must maintain an overall average of at least 73% at the end of each term, with no more than two failed courses overall.
  • Link(s) to courses