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 from the University of Toronto Mississauga (UTM) and University of Toronto Scarborough (UTSC) can enrol in Arts & Science courses starting Wed, April 14, 2021. Students from the Downtown Toronto Campus (St. George) can enrol in Arts & Science courses offered at UTM and UTSC on the same date.
If you have any questions regarding enrolment dates for our graduate courses, please contact our graduate administrator.
Dropping Courses
The deadlines to drop courses are as follows:
May 28, 2021 for May-to-June F section courses; and
July 12, 2021 for July-to-August S section courses.
Start and End Dates of Classes
| Section Code | Classes Start | Classes End | Make-up Day |
|---|---|---|---|
| F | Monday, May 3, 2021 | June 14, 2021 | June 15, 2021 |
| Y | Monday, May 3, 2021 | August 16, 2021 | August 17, 2021 |
| S | Monday, July 5, 2021 | August 16, 2021 | August 17, 2021 |
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.
Students enrolling in courses from outside the department need to submit an SGS Course Add Drop Form with approval from their home department and course instructor to grad.statistics@utoronto.ca
Course List Legend
Summer Session 2021: Course Listings
- 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
2021 Summer Term Course Listings
You can also find a list of graduate courses at the School of Graduate Studies page for our department.
- Summer 2021 F & S Session Courses will be offered completely online.
| Course | Title (Click for description) | Session | Section/Time | Location | Instructor | Delivery Method |
|---|---|---|---|---|---|---|
| STA1001H (STA302H1) |
(also offered as undergraduate course STA302H1) Introduction to data analysis with a focus on regression. Initial Examination of data. Correlation. Simple and multiple regression models using least squares. Inference for regression parameters, confidence and prediction intervals. Diagnostics and remedial measures. Interactions and dummy variables. Variable selection. Least squares estimation and inference for non-linear regression. Prerequisite:
|
F |
L0101: TBA
L5101: TR6-9
|
Online
Online
|
TBA | Online - Synchronous |
| STA1001H (STA302H1) |
(also offered as undergraduate course STA302H1) Introduction to data analysis with a focus on regression. Initial Examination of data. Correlation. Simple and multiple regression models using least squares. Inference for regression parameters, confidence and prediction intervals. Diagnostics and remedial measures. Interactions and dummy variables. Variable selection. Least squares estimation and inference for non-linear regression. Prerequisite:
|
S | L5101: MW6-9 | Online | TBA | Online - Synchronous |
| STA1002H (STA303H1) |
(also offered as undergraduate course STA303H1) Analysis of variance for one-and two-way layouts, logistic regression, loglinear models, longitudinal data, introduction to time series. Prerequisite: STA1001H or equivalent |
S | L0101: MW9-12 | Online | TBA | Online - Synchronous |
| STA1003H (STA304H1) |
(also offered as undergraduate course STA304H1) Design of surveys, sources of bias, randomized response surveys. Techniques of sampling; stratification, clustering, unequal probability selection. Sampling inference, estimates of population mean and variances, ratio estimation., observational data; correlation vs. causation, missing data, sources of bias. Exclusion: STA322H1 Prerequisite: ECO220Y1/ECO227Y1/GGR270Y1 / PSY202H1/SOC300Y1/STA221H1/STA255H1/261H1/248H1 |
F | L0101: TBA | Online | TBA | Online - Synchronous |
| STA1004H (STA305H1) |
(also offered as undergraduate course STA305H1) This cross-listed course covers a number of topics used in the design and analysis of experiments. The course is intended for students of statistics as well as students of other disciplines (eg. engineering, experimental science, etc.) who will use experimental design and analysis in their work. The course will cover the following topics: randomization, blocking Latin squares, balanced incomplete block designs, factorial experiments, confounding and fractional replication, components of variance, orthogonal polynomials, response surface methods. Additional topics will be covered based on students’ interest as time permits. Prerequisite: STA302H/352Y/ECO327Y/ECO357Y or permission of instructor |
S | L0101: TR1-4 | Online | TBA | Online - Synchronous |