If you are planning to enrol in a graduate course at the Department of Statistical Sciences, we recommend you read through this page carefully. Please also note, that this course schedule is subject to changes. We will post changes and updates here, so check back frequently.
Enrolment Dates
Students Enroled at Our Department
Registration for the F Session starts at 6:00 am EST on Friday, April 4, 2025 for students enroled at the Department of Statistical Sciences only.
Students from Other Departments
Course enrolment for students from other departments will start on Friday, April 11, 2025. You will not be able to add courses before this date. To enrol in one of our graduate courses, you will have to...
- fill out the add/drop courses form
- have your home department and the course instructor sign off on the form
- email the form to our graduate student administrator
Note: May 12, 2025 is the final date to enrol in the F Session
Start and End Dates of Classes
|
Section Code |
Classes Start |
Classes End |
|---|---|---|
| F | May 1, 2025 | June 30, 2025 |
| Y | May 1, 2025 | August 31, 2025 |
| S | July 1, 2025 | August 31, 2025 |
For dates regarding university closures, course drop and registration deadlines, and tuition payment deadlines, please have a look at the School of Graduate Studies sessional dates calendar.
Course List Legend
- F = a half-year course in the first term (September – December)
- S = a half-year course in the second term (January– April)
- Y = a full-year course (September – April)
- (J) indicates a a cross-listed course (a joint graduate/undergraduate course)
- M = Monday
- T = Tuesday
- W = Wednesday
- R = Thursday
- F = Friday
- See Building Codes and the Campus Map.
- L0101 or L0201 = 9:00 am to 5:00 pm
- L5101 = 5:00 pm onwards
2025 Summer Term Course Listings
You can also find a list of graduate courses on the School of Graduate Studies page for our department.
|
Course |
Title (Click for description) |
Session |
Section/Time |
Location |
Instructor |
Delivery Method |
|---|---|---|---|---|---|---|
| STA2202H (STA457H1) |
An overview of methods and problems in the analysis of time series data. Topics include: descriptive methods, filtering and adjustment, spectral estimation, bivariate time series models. The course will cover the following topics:
Further topics, time permitting: multivariate models; GARCH models; state-space models Course credit: 0.5 FCE |
F | L5101: MW6-9 | Online | Wang, Lijia | Online |