MSc Program Requirements

Both the Statistical Theory and Applications field and the Probability field have the same program requirements. All programs must be approved by the Associate Chair for Graduate Studies.

Program Length: 3 sessions full-time (typical registration sequence: Fall; Winter; Summer); 6 sessions part-time

Part-time students are limited to taking 1.0 FCE during each session. In exceptional cases, the Associate Chair for Graduate Studies may approve 1.5 FCEs in a given session.

Students must complete a total of 4.0 full-course equivalents (FCEs)

As part of the MSc program, all students are required to take at least 1.0 FCEs (Two 0.5 FCE courses) from the courses listed below: 

  • STA2101H Methods of Applied Statistics I
  • STA2201H Methods of Applied Statistics II
  • STA2111H Probability Theory I
  • STA2211H Probability Theory II
  • STA2112H Introduction to Statistical Theory for Data Science
  • STA2212H Advanced Statistical Theory for Data Science
  • STA2311H Advanced Computational Methods for Statistics I
  • STA2312H Advanced Computational Methods for Statistics II
  • The remaining 3.0 FCEs may be selected from:
    • Any Department of Statistical Sciences 2000-level course or higher.
    • Any 1000-level course or higher in another graduate unit at the University of Toronto with sufficient statistical, computational, probabilistic, or mathematical content.
    • One 0.5 FCE as a reading course.
    • One 0.5 FCE as a research project.
    • A maximum of 1.0 FCE from any STA 4500-level modular course (each are 0.25 FCE).
  • All programs must be approved by the Associate Chair for Graduate Studies. Students must meet with the Associate Chair to ensure that their program meets the requirements and is of sufficient depth.
  • Part-time students are limited to taking 1.0 FCE during each session. In exceptional cases, the Associate Chair for Graduate Studies may approve 1.5 FCEs in a given session.

In Person

For more information on program requirements, please visit the School of Graduate Studies calendar. 

 

Please have a look at our graduate course descriptions. Not all courses are offered every academic session. For sessional offerings, please see our timetable. 

 

Course Planning 

Course planning sessions will be available during the summer months (July and August) by appointment. Please contact the graduate team at grad.statistics@utoronto.ca. 

 

Questions about your program? 

Please reach out to the graduate team at grad.statistics@utoronto.ca.