Graduate Diploma (GDip) in Data Analytics (direct entry)

The program information below was valid for the fall 2023 term (September 1, 2023 - December 31, 2023). 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.

• Admit term(s) 
  • Fall
  • Winter
  • Spring
• Delivery mode 
  • On-campus
• Delivery mode information 
  • Note: some courses may be offered online.
• Length of program 
  • 2 terms (8 months)
• Program type 
  • Diploma
• Registration option(s) 
  • Full-time
  • Part-time
• Study option(s) 
  • Coursework

• Minimum requirements 
  • The Department of Management Sciences requires either (i) a 75% overall standing in the last two years, or equivalent, in a relevant four year Honours Bachelor's degree or equivalent; or (ii) a 75% overall standing or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent, as the minimum requirement for admission to the Graduate Diploma (GDip) in Data Analytics (direct entry) program for applicants educated at a Canadian institution. A 75% overall standing or equivalent, in a relevant four-year Honours Bachelor's degree or equivalent is the minimum requirement for admission to the GDip in Data Analytics (direct entry) program for applicants educated outside of Canada.
  • All applicants must submit a "Statement of Purpose" - a one-page statement addressing their academic background and future goals.
• Application materials 
  • Résumé/Curriculum vitae
  • Supplementary information form
  • Transcript(s)
• References 
  • Number of references:  2
  • Type of references: 

    academic (preferred) or professional

• English language proficiency (ELP) (if applicable)

Coursework option:

Graduate Academic Integrity Module (Graduate AIM)

Courses 

• Students must successfully complete the following 4 courses:
  • MSCI 623 Big Data Analytics
  • MSCI 718 Statistical Methods for Data Analytics
  • MSCI 719 Operations Analytics
  • 1 pre-approved elective course from the following list:
    • MSCI 603 Principles of Operations Research
    • MSCI 605 Organizational Behaviour
    • MSCI 607 Applied Economics for Management
    • MSCI 609 Quantitative Data Analysis for Management Sciences
    • MSCI 641 Text Analytics
    • An alternate elective course pre-approved by the Associate Chair for Graduate Studies
• Students must maintain an overall average of at least 73% at the end of each term, with no more than 2 failed courses overall.

Link(s) to courses

• Management Sciences (MSCI) courses