General Information
Rotman MBA students may take up to the equivalent of five courses (2.5 FCEs) outside of MBA electives, subject to the appropriate Academic Director’s approval, via the following:
- Other Masters courses at Rotman
- PhD courses at Rotman
- Other University of Toronto graduate departments
- Through the Ontario Visiting Graduate Student Program
- Note: limit of two courses or 1 FCE
- Graduate Exchange Program
Other Rotman Masters Programs
Masters of Management Analytics Courses
Requests Deadline: September 1, 2023 to the Registrar’s Office.
Students must request permission and receive approval as per the process outlined below.
A limited number of spaces are open in the Masters of Management Analytics (MMA) courses listed below. Course descriptions are available on the main Rotman site.
Important Notes
- Each course in the Fall term will use at least one of the four languages (SQL, SAS, R, Python), sometimes two of these.
- Those students contemplating a Fall course must demonstrate adequate skills in the relevant language(s)—the ones used in each course should be clear from the course description. Students who are unsure whether they meet the requirements, should contact the course instructor(s) to clarify.
- Students who have a good coding background (in any language) should be able to get adequate proficiency in the languages used in the program by taking MMA bootcamps in the relevant languages.
- Students without strong coding experience will likely not be allowed to take MMA courses—taking MMA bootcamps will not be enough. The coding experience can come from prior course work, job, on-line courses, etc.
- MMA courses will count as an elective course credit. Students may also take these courses for extra credit. The maximum number of MMA courses any non-MMA student can take is two.
- A maximum of five MBA students can be enrolled in a given MMA course.
- Ensure a conflict-free course schedule. Note that MMA and MBA courses cannot conflict.
- Spring courses are not open to MBA students.
Request Process
Please submit the following to the Registrar’s Office by September 1, 2023:
- School of Graduate Studies Course Add/Drop Form (PDF) ranking a maximum of three MMA courses. Students may only be approved for a maximum of two MMA courses. Students must also indicate MBA courses to be dropped should MMA courses be approved.
- The School of Graduate Studies Course Add/Drop Form (PDF) must include a physical signature (i.e. no typed, print, computer fonts, or computer signatures)
- Transcript or statement addressing their background in coding. Students must have coding knowledge (some Python, some R—depending on the course). Those with weak skills may consider attending the MMA bootcamps.
- Incomplete requests will not be reviewed.
The Registrar’s Office will forward the packages for review as appropriate.
MBA students may be able to attend the MMA bootcamp subject to MMA Academic Director’s recommendation.
Students will be notified by early September.
Intro Term MMA Courses (August to September)
Section 1
| Course Code/Title | Instructor | Class Day/Time | Location |
|---|---|---|---|
| RSM8502H – Data-Based Management Decisions | Binyamin Oz | Wednesdays/Fridays Aug 11, 16, 18, 23, Sept 1, 8, 13 13:00–16:00 Friday, Sept 15 9:00–13:00 Tutorials: Monday, Aug 21 14:00–15:00 Tuesday, Sept 5 12:00–13:00 Thursday, Sept 14 12:00–13:00 | L1035 (Aug 21 is in L1060) |
| RSM8901H – Analytics in Management | Various | See Table Below | Various |
RSM8901H – Analytics in Management (Section 1)
| Day | Time | Instructor | Area | Location |
|---|---|---|---|---|
| Tuesday, August 15 | 10:00–12:00 | Sridhar Moorthy | Marketing | L1035 |
| Tuesday, August 15 | 13:00–15:00 | Maria Rotundo | OB/HRM | L1035 |
| Wednesday, August 16 | 10:00–12:00 | Sridhar Moorthy | Marketing | L1035 |
| Thursday, August 17 | 13:00–15:00 | Maria Rotundo | OB/HRM | L1035 |
| Thursday, August 17 | 10:00–12:00 | Mike Simutin | Finance | L1035 |
| Tuesday, August 22 | 10:30–12:00 | Kristina McElheran | Strategy | L1035 |
| Tuesday, August 22 | 13:00–15:00 | Maria Rotundo | OB/HRM | L1035 |
| Wednesday, August 23 | 10:00–12:00 | Sridhar Moorthy | Marketing | L1035 |
| Thursday, August 24 | 13:00–14:30 | Maria Rotundo | OB/HRM | L1035 |
| Thursday, August 24 | 10:00–12:00 | Mike Simutin | Finance | L1035 |
| Tuesday, August 29 | 13:00–14:30 | Kristina McElheran | Strategy | L1035 |
| Tuesday, August 29 | 10:00–12:00 | Mike Simutin | Finance | L1035 |
| Thursday, August 31 | 10:30–12:30 | Exam | N/A | Various |
| Friday, September 1 | 10:00–11:30 | Maria Rotundo | OB/HRM | L1035 |
| Tuesday, September 5 | 9:30–11:30 | Partha Mohanram | Accounting | L1035 |
| Wednesday, September 6 | 9:30–11:30 | Partha Mohanram | Accounting | L1035 |
| Wednesday, September 6 | 12:00–14:00 | Vahid Roshanaei | Operations | L1035 |
| Thursday, September 7 | 9:30–11:00 | Partha Mohanram | Accounting | L1035 |
| Friday, September 8 | 10:00–12:00 | Vahid Roshanaei | Operations | L1060 |
| Tuesday, September 12 | 9:30–11:30 | Partha Mohanram | Accounting | L1035 |
| Wednesday, September 13 | 10:00–12:00 | Vahid Roshanaei | Operations | L1035 |
| Thursday, September 14 | 9:30–11:00 | Partha Mohanram | Accounting | L1035 |
| Monday, September 18 | 15:00–16:30 | Final Exam | N/A | Various |
Section 2
| Course Code/Title | Instructor | Class Day/Time | Location |
|---|---|---|---|
| RSM8502H – Data-Based Management Decisions | Binyamin Oz | Wednesdays/Fridays Aug 11, 16, 18, 23, Sept 1, 8, 13 9:00–12:00 Friday, Sept 15 14:00–18:00 Tutorials: Monday, Aug 21 12:00–13:00 Tuesday, Sept 5 10:00–11:00 Thursday, Sept 14 10:00–11:00 | L1060 (Aug 21 and Sept 15 in L1035) |
| RSM8901H – Analytics in Management | Various | See Table Below | Various |
RSM8901H – Analytics in Management (Section 2)
| Day | Time | Instructor | Area | Location |
|---|---|---|---|---|
| Tuesday, August 15 | 13:00–15:00 | Sridhar Moorthy | Marketing | L1060 |
| Tuesday, August 15 | 10:00–12:00 | Maria Rotundo | OB/HRM | L1060 |
| Wednesday, August 16 | 13:00–15:00 | Sridhar Moorthy | Marketing | L1060 |
| Thursday, August 17 | 10:00–12:00 | Maria Rotundo | OB/HRM | L1060 |
| Thursday, August 17 | 13:00–15:00 | Mike Simutin | Finance | L1060 |
| Tuesday, August 22 | 13:00–14:30 | Kristina McElheran | Strategy | L1060 |
| Tuesday, August 22 | 10:00–12:00 | Maria Rotundo | OB/HRM | L1060 |
| Wednesday, August 23 | 13:00–15:00 | Sridhar Moorthy | Marketing | L1060 |
| Thursday, August 24 | 10:00–11:30 | Maria Rotundo | OB/HRM | L1060 |
| Thursday, August 24 | 13:00–15:00 | Mike Simutin | Finance | L1060 |
| Tuesday, August 29 | 10:30–12:00 | Kristina McElheran | Strategy | L1060 |
| Tuesday, August 29 | 13:00–15:00 | Mike Simutin | Finance | L1060 |
| Thursday, August 31 | 10:30–12:30 | Exam | N/A | Various |
| Friday, September 1 | 13:00–14:30 | Maria Rotundo | OB/HRM | L1060 |
| Tuesday, September 5 | 12:00–14:00 | Partha Mohanram | Accounting | L1060 |
| Wednesday, September 6 | 12:00–14:00 | Partha Mohanram | Accounting | L1060 |
| Wednesday, September 6 | 9:30–1:30 | Vahid Roshanaei | Operations | L1060 |
| Thursday, September 7 | 12:00–13:30 | Partha Mohanram | Accounting | L1060 |
| Friday, September 8 | 13:00–15:00 | Vahid Roshanaei | Operations | L1035 |
| Tuesday, September 12 | 12:00–14:00 | Partha Mohanram | Accounting | L1060 |
| Wednesday, September 13 | 13:00–15:00 | Vahid Roshanaei | Operations | L1060 |
| Thursday, September 14 | 12:00–13:30 | Partha Mohanram | Accounting | L1060 |
| Monday, September 18 | 14:30–16:00 | Final Exam | N/A | Various |
Term 1 MMA Courses (August to December)
Section 1
| Course Code/Title | Instructor | Class Day/Time | Location |
|---|---|---|---|
| RSM8411H – Structuring and Visualizing Data for Analytics | TBC | Mondays/Wednesdays Sept 27 – Nov 29 15:30–17:00 (No class Oct 9) Dec 4 15:30–16:30 | L1035 |
| RSM8413H – Machine Learning Analytics | Gerhard Trippen | Tuesdays/Thursdays Sept 28 – Nov 28 9:00–10:30 Nov 30 9:00–10:00 | L1060 |
| RSM8414H – Tools for Probabilistic Models and Prescriptive Analytics | Sheng Liu | Tuesdays/Thursdays Sept 28 – Nov 28 11:00–12:30 Nov 30 11:00–12:00 | L1060 |
| RSM8512H – Modeling Tools for Predictive Analytics | Ryan Webb | Mondays/Wednesdays Sept 27 – Nov 29 13:30–15:00 (No class Oct 9) Dec 4 13:30–14:30 | L1035 |
Section 2
| Course Code/Title | Instructor | Class Day/Time | Location |
|---|---|---|---|
| RSM8411H – Structuring and Visualizing Data for Analytics | TBC | Mondays/Wednesdays Sept 27 – Nov 29 13:30–15:00 (No class Oct 9) Dec 4 13:30–14:30 | L1060 |
| RSM8413H – Machine Learning Analytics | Gerhard Trippen | Tuesdays/Thursdays Sept 28 – Nov 28 11:00–12:30 Nov 30 11:00–12:00 | L1035 |
| RSM8414H – Tools for Probabilistic Models and Prescriptive Analytics | Sheng Liu | Tuesdays/Thursdays Sept 28 – Nov 28 9:00–10:30 Nov 30 9:00–10:00 | L1035 |
| RSM8512H – Modeling Tools for Predictive Analytics | Ryan Webb | Mondays/Wednesdays Sept 27 – Nov 29 15:30–17:00 (No class Oct 9) Dec 4 15:30–16:30 | L1060 |
MMA Bootcamps
Interested students must submit audit requests directly to the instructors as listed below and then forward to the Registrar’s Office.
Up to five MBA students may be able to attend the MMA bootcamp, subject to MMA Academic Director’s recommendation.
| Fall 2023 Dates | Time | Section | Location | Instructor | Area |
|---|---|---|---|---|---|
| Thursday, August 3 | 10:00–12:00 | 1 | L1035 | Jay Cao | JMP |
| Thursday, August 3 | 14:00–16:00 | 2 | L1060 | Jay Cao | JMP |
| Tuesday, August 8 | 10:00–12:00 | 1 | L1035 | Jay Cao | JMP |
| Tuesday, August 8 | 14:00–16:00 | 2 | L1060 | Jay Cao | JMP |
| Wednesday, August 9 | 10:00–12:00 | 1 | L1035 | Jay Cao | JMP |
| Wednesday, August 9 | 14:00–16:00 | 2 | L1060 | Jay Cao | JMP |
| Tuesday, August 8 | 10:00–12:30 | 2 | L1060 | Dmitry Krass | Stats |
| Tuesday, August 8 | 14:00–16:30 | 1 | L1035 | Dmitry Krass | Stats |
| Wednesday, August 9 | 10:00–12:30 | 2 | L1060 | Dmitry Krass | Stats |
| Wednesday, August 9 | 14:00–16:30 | 1 | L1035 | Dmitry Krass | Stats |
| Thursday, August 10 | 10:00–12:30 | 2 | L1060 | Dmitry Krass | Stats |
| Thursday, August 10 | 14:00–16:30 | 1 | L1035 | Dmitry Krass | Stats |
| Friday, August 11 | 10:00–12:30 | 1 | L1035 | Dmitry Krass | Stats |
| Friday, August 11 | 14:00–16:30 | 2 | L1060 | Dmitry Krass | Stats |
| Thursday, August 10 | 10:00–12:00 | 1 | L1035 | Jay Cao | SQL |
| Thursday, August 10 | 14:00–16:00 | 2 | L1060 | Jay Cao | SQL |
| Monday, August 14 | 10:00–12:00 | 1 | L1035 | Jay Cao | SQL |
| Monday, August 14 | 14:00–16:00 | 2 | L1060 | Jay Cao | SQL |
| Friday, August 18 | 10:00–12:00 | 1 | L1035 | Jay Cao | SQL |
| Friday, August 18 | 14:00–16:00 | 2 | L1060 | Jay Cao | SQL |
| Monday, August 14 | 10:00–12:00 | 2 | L1060 | Gerhard Trippen | R Programming |
| Monday, August 14 | 14:00–16:00 | 1 | L1035 | Gerhard Trippen | R Programming |
| Monday, August 21 | 10:00–12:00 | 1 | L1035 | Gerhard Trippen | R Programming |
| Monday, August 21 | 14:00–16:00 | 2 | L1060 | Gerhard Trippen | R Programming |
| Monday, August 28 | 10:00–12:00 | 1 | L1035 | Gerhard Trippen | R Programming |
| Monday, August 28 | 14:00–16:00 | 2 | L1060 | Gerhard Trippen | R Programming |
| Friday, August 25 | 10:00–12:00 | 2 | L1060 | Mike MacDonald | Python Bootcamp |
| Friday, August 25 | 14:00–16:00 | 1 | L1035 | Mike MacDonald | Python Bootcamp |
| Monday, August 28 | 10:00–12:00 | 2 | L1060 | Mike MacDonald | Python Bootcamp |
| Monday, August 28 | 14:00–16:00 | 1 | L1035 | Mike MacDonald | Python Bootcamp |
| Thursday, September 7 | 9:30–11:30 | 2 | L1060 | Mike MacDonald | Python Bootcamp |
| Thursday, September 7 | 12:00–14:00 | 1 | L1035 | Mike MacDonald | Python Bootcamp |
| Monday, September 11 | 10:00–12:00 | 2 | L1035 | Mike MacDonald | Python Bootcamp |
| Monday, September 11 | 13:00–15:00 | 1 | L1060 | Mike MacDonald | Python Bootcamp |
Rotman PhD Courses
- MBA students may, with the permission of the instructor, take a doctoral-level course through the Rotman PhD Program. Some courses may be better suited to the academic needs and abilities of MBA students than others; ultimately, the instructor will assess an applicant’s candidacy, with further consideration of space availability.
- Anyone wishing to complete a Rotman PhD course must complete the School of Graduate Studies Course Add/Drop Form (PDF) and, together with a course outline and brief rationale for taking the course, submit these to the Registrar’s Office. Forms must be submitted by the deadline to add a course.
- A comprehensive list of PhD course offerings will be available in mid-July.
Other University of Toronto Graduate Departments
Many MBA students take graduate courses at other graduate departments, mainly Economics, Information, Industrial Relations, and Law (senior level undergraduate courses only). Students are advised to contact the department or faculty of interest regarding course offerings. Visit the School of Graduate Studies (SGS) for details and contact information for each graduate department at U of T.
The lists below represent only a sample of the courses available to students and those that the departments have asked Rotman to advertise.
Courses are reviewed by the appropriate Academic Director, on the basis of the following:
- Credit value (must be three credit hours / 0.5 FCE each)
- Appropriate level (graduate level courses, with the exception of senior level undergraduate courses in the Faculty of Law, University of Toronto)
- Suitability (fit with a student’s goals for the MBA program)
- Content (ensuring no duplication of coursework relative to MBA courses taken/to be taken)
To take a course at another department/Faculty at the University of Toronto, students must:
- Complete the School of Graduate Studies Course Add/Drop Form (PDF)
- Submit a course outline
- Submit a brief rationale for taking the course to the Registrar’s Office (RO).
- Ensure the host Department will approve the request by contacting the department well in advance. Ask whether they accept “out of faculty” requests, if there is space available in the course that you are interested in, and if there are any deadlines to enroll in the course.
Incomplete requests will not be considered. Enrolment is subject to Academic Director’s approval.
Important:
- Rotman grade submission deadlines must be met, regardless of the deadlines of the other department(s) involved.
- It is the student’s responsibility to know, and adhere to, the Add/Drop deadlines, accommodations policy, etc. of the host department.
Courses Available at Other University of Toronto Faculties
The following lists are of selected courses available to MBA students. For more courses, please visit the School of Graduate Studies (SGS) for details and contact information of each graduate department at UofT.
- Faculty of Law
- Faculty of Music
- Institute of Health Policy, Management & Evaluation (IHPME)
- School of Cities
- Faculty of Applied Science and Engineering
Faculty of Law
Please note that the below Faculty of Law courses are representative of the 2022-2023 Academic Year. Details for the 2023-2024 Academic year will be coming soon.
| Course | Instructor(s) | Schedule |
|---|---|---|
| Robert Vaux Gesta Abols | Thursdays 4:10 pm – 6:00 pm | |
| Benjamin Alarie Daniel Debow | Mondays 8:30 am – 10:20 am |
Faculty of Music
Registration for Faculty of Music graduate courses opens Wednesday, August 2, 2023. To start the registration process, students should send the Instructor, Prof Catherine Moore, the SGS add/drop form, with the top part filled in, clearly-written e-mail address, and their signature. Please send the form to: catherinej.moore@utoronto.ca.
Please refer to the section Other University of Toronto Graduate Departments for instructions on how to submit requests to the Registrar’s Office.
The focal points for Digital Media Distribution in 2023 will be innovative business, technology, and creative environments such as Virtual Reality, Artificial Intelligence (including ChatGPT uses for music creation & distribution), Blockchain (especially as the supporting infrastructure for NFTs), and VUIs (“smart speakers”). The course content reflects the ongoing collaboration across the Faculty of Music’s U of T Faculty partners: business management; distribution business models; technology; computer science; law; policy; digital media rights-holders; and the creation of multi-media experiences.
Cross-disciplinary course in which graduate-student teams from across U of T collaborate on new business models. Please note that no music knowledge or training is required to take this course.
| Course | Instructor(s) | Schedule | Location |
|---|---|---|---|
| JDM3619H-F Digital Media Distribution | Catherine Moore | Fridays: September 8 – December 1 3:10 pm to 6:00 pm | Room 215 – Edward Johnson Building Faculty of Music 80 Queen’s Park (with some aspects via MS Teams as needed) |
Course Description
JDM3619HF – Digital Media Distribution
The course tackles the strategic problems of digital media in the streaming and download age, its re-monetization for creators and other stakeholders, potential new business models, policy development, distribution structures, and intellectual property regimes. Students work with faculty within and across disciplinary boundaries and with distinguished guests from the field to create innovative outcomes, from policy papers to potential startups. Students are exposed to the existing situation through in-depth lectures and workshops from faculty and expert guests. Teams are tasked to create viable business models for new paradigms that will encourage creators/performers/supporters, respect radicalizing technologies and intellectual property contexts, identify new markets and partnerships, and establish viable and sustainable distribution models.
Institute of Health Policy, Management & Evaluation (IHPME) – Dalla Lana School of Public Health
Master of Health Informatics (MHI) Courses
| Course | Term | Instructor(s) | Schedule |
|---|---|---|---|
| MHI2001H – Fundamentals of Health Informatics | Fall 2023 | Karim Keshavjee | Tuesdays: September 5 – December 5 2:00pm – 5:00pm (No class October 9) Health Sciences Building Rm 108 (155 College St.) |
| MHI2018H – Knowledge Management and Systems | Winter 2024 | Karim Keshavjee Abbas Zavar | Thursdays: January 11, February 15, April 4 5:00pm – 9:00pm Fridays: January 12, February 16, March 22 2:00pm – 6:00pm |
| MHI2024H – Advanced Topics in Data Governance in Health Informatics* | Fall 2023 | Don Willison Karim Keshavjee Jennifer Tin Kiren Handa | Mondays: September 11 – December 4 5:00pm – 7:30pm (No class October 9) Health Sciences Building Rm 618 (155 College St.) |
*Please see below for further instructions for MHI2024.
There are not formal course pre-requisites but, because of the limited class size of 12 and the seminar format, we are looking to identify students for whom a course in data governance will constitute an important contribution to their career trajectory. While prior work experience in the health sector is an asset, it is not required. We are also interested in bringing together students from across many disciplines.
If interested in the course, please provide a brief (2 pages maximum) bio-sketch that describes:
- The program in which you are currently enrolled, the courses you have taken to date, and the other courses you intend to take.
- Any other undergraduate or graduate programs you have completed.
- Any work experience you have had, to date, with health data.
- As best you can, the kind of role in which you would like to see yourself in 5-10 years – whether this be academic, government, or industry.
- Whether you see yourself in that role as a data user, as a data administrator, in some data governance/policy role, or some other role related to health data.
Please send your bio-sketch to Adjunct Professor Don Willison, ScD, by July 20 2023, and we will be in touch soon thereafter. Thank you for your interest in the course.
Health Services Research (HSR) Courses
| Course | Term | Instructor(s) | Schedule |
|---|---|---|---|
| HAD5760H – Advanced Health Economics & Policy Analysis | Fall 2023 | Audrey Laporte | Tuesdays: September 12 – December 5 2:00pm – 4:00pm (No class October 10) Health Sciences Building Rm 451 (155 College St.) Schedule |
Master of Health Science (MHSc) – Health Administration Courses
| Course | Term | Instructor(s) | Schedule |
|---|---|---|---|
| HAD5713H – Introduction to Health Information Systems | Fall 2023 | Mark Fam | September 22 – 9:00am – 12:00pm September 23 – 9:00am – 12:00pm (online) October 11 – 5:30pm – 9:00pm (online) October 13 – 9:00am – 12:00pm November 4 – 9:00am – 12:00pm (online) November 24 – 9:00am – 5:00pm December 15 – 9:00am – 5:00pm Health Sciences Building Rm 740 (155 College St.) Schedule |
| HAD5736H – Operations Research: Tools for Quantitative Health Care Decision Making | Fall 2023 | Mike Carter Dionne Aleman | Online: September 13 – 5:30pm – 9:00pm September 16 – 8:00am – 12:00pm October 4 – 5:30pm – 9:00pm October 7 – 8:00am – 12:00pm October 28 – 8:00am – 12:00pm November 18 – 8:00am – 12:00pm December 9 – 8:00am – 5:00pm In-Person: Health Sciences Building Rm 740 (155 College St.) October 27 – 1:30pm – 5:00pm November 17 – 1:30pm – 5:00pm Schedule |
| HAD5765H – Case Studies in Health Policy | Winter 2024 | Raisa Deber | Pre-Class: Wednesday, January 10 3:00pm – 4:00pm Thursdays: January 11 February 1, 22 March 14 April 4 9:00am – 12:00pm Health Sciences Building Rm 412 (155 College St.) Schedule |
System, Leadership & Innovation (SLI) Courses
| Course | Term | Instructor(s) | Schedule |
|---|---|---|---|
| HAD2003H – Learning Health Systems Part 1: Identifying Opportunities for System Change and Designing Sound Innovations | Winter 2024 | Geoff Anderson | Tuesdays: January 9 – April 9 2:00pm – 5:00pm (8 sessions from above dates TBC) Schedule |
| HAD2002H – Learning Health Systems Part 2: Implementation and Evaluation of System Innovations * *Prerequisite: HAD2003H – Learning Health Systems Part 1 | Summer 2024 | Geoff Anderson | Wednesdays: April 24 – June 19 2:00pm – 5:00pm (8 sessions from above dates TBC) Health Sciences Building Rm 412 (155 College St.) Schedule |
| HAD2007H – Leading Health Systems Innovation and Transformation | Summer 2024 | Savithiri Ratnapalan Abi Sriharan | TBC Schedule |
School of Cities
The Multidisciplinary Urban Graduate Seminar (M.U.G.S.) was developed in partnership with other faculties, schools and departments four courses. M.U.G.S courses are for graduate students enrolled in a Masters or PhD program at the University of Toronto. Participants will work in multidisciplinary teams from different academic fields, using their learned perspective to come together to review problems faced by cities and find innovative solutions.
Important – All courses listed below require students to fill out an application. Course descriptions and applications for all courses are found here.
| Course | Term | Instructor(s) | Schedule | Notes |
|---|---|---|---|---|
| ENV463H1 – The Edible Campus | Fall 2023 | Michael Classens | Wednesdays 10:00am – 12:00pm St. George Campus | Offered by the School of Cities and the School of the Environment |
| PLA1516H1 – Develop Affordable Housing From Start to Finish | Winter 2024 | Jeanhy Shim | Wednesdays 12:00pm – 2:00pm St. George Campus | Students must take at least one Rotman elective on real estate before/while taking this practicum course |
Faculty of Applied Science and Engineering
The Faculty of Applied Science and Engineering offers graduate-level courses in EDI and Leadership by ISTEP and Troost ILead.
Students who are interested in these courses must follow the steps outlined under Other University of Toronto Graduate Departments.
Students may contact the listed instructors to secure their permission before submitting the form to the Registrar’s Office (RO).
Fall 2023 Term: September 11 – December 20, 2023*
Winter 2024 Term: January 8 – April 8, 2024*
*It is possible a course may run before these dates above or end beyond the dates – please check with course instructor, syllabus or the course schedule.
| Course | Term | Instructor(s) | Schedule | Notes |
|---|---|---|---|---|
| TEP1601H – Equity, Diversity & Inclusivity within Engineering Contexts | Summer 2023 | Mikhail Burke | July 10-Aug 6 Tuesdays 13:00-15:00 Thursdays 16:00-17:00 | |
| TEP1601H – Equity, Diversity & Inclusivity within Engineering Contexts | Fall 2023 | Mikhail Burke | Begins Week of September 14 Wednesdays 15:00-18:00 | Tentative. May not run. |
| TEP1010H – Cognitive and Psychological Foundations of Effective Leadership | Winter 2024 | Robin Sacks | Begins Week of January 8 Tuesdays 18:00-21:00 | |
| TEP1011H – Authentic Leadership | Fall 2023 | Nick Evans and Mike Farley | Begins Week of September 14 Mondays 18:30-21:00 | |
| TEP1027H – Engineering Presentations | Fall 2023 | Lydia Wilkinson | Begins Week of Sept 14 Wednesdays 18:00-21:00 | Not truly about engineering. |
| Fall 2023 | Danny Cushing | Begins Week of October 2 Tuesdays 18:00-21:00 | ||
| TEP1501H – Leadership and Leading in Groups and Organizations | Fall 2023 | TBC | Begins Week of Sept 14 Tuesdays 18:00-21:00 |
Ontario Visiting Graduate Student Exchange Program
Students wishing to take a course at another university in Ontario must:
- Discuss their plans with their Assistant/Associate Director for their respective MBA program.
- Ensure the Department at the host University will approve their request by contacting the Department well in advance—two months before course start is recommended—to confirm session offering and likelihood of request being approved.
- Complete a School of Graduate Studies Ontario Visiting Graduate Student Form (PDF) and submit a course outline as well as a brief rationale for taking the course to the Registrar’s Office (RO).
Note:
- Approval is normally given only if there is no equivalent course being offered at Rotman or other department at the University of Toronto during the academic year following the request.
- Note that Ontario Visiting Graduate Student (OGVS) courses can only be taken for credit (i.e. OVGS courses cannot be designated as Extra credit).
- A maximum of two courses may be taken under this program. If a student wishes to take more than the two courses allowed at a university in Ontario, they must secure approval for the particular course from the Director, Academic Services, Masters Programs and obtain a letter of permission to take the course(s).
- Please do not contact Rotman instructors or Academic Instructors as the Registrar’s Office secures all approvals.
Graduate Exchange Agreement
This agreement is between the University of Toronto and McGill University, Université de Montréal, and University of British Columbia. Each university, whenever feasible, will allow a graduate student in good standing from one university to register as an exchange graduate student at the other university without paying fees at the institution being visited, except for student activity fees. Courses taken will be credited at the home institution and for Rotman School students, may amount to a maximum of five courses (equivalent to 2.5 FCEs).
Students wishing to take a course at one of these universities must:
- Discuss their plans with their Assistant/Associate Director for the respective MBA program.
- Ensure the department at the host university will approve their request by contacting the Department well in advance—three months before course start is recommended—to confirm session offering and likelihood of request being approved.
- Complete a School of Graduate Studies Graduate Exchange Agreement Form (PDF) and submit a course outline as well as a brief rationale for taking the course to the Registrar’s Office (RO).