General Information
Rotman MBA students may take up to the equivalent of five courses (2.5 FCEs) outside of MBA electives 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 3, 2021 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
- Students who are expected to graduate in June 2022: These students are not eligible to take Term 2 (Spring) courses as they end in mid-May.
- Each course in the Fall term will use at least one of the four languages (SQL, SAS, R, Python), sometimes two of these.
- Each course in the Spring term will expect students to be able to code in all four languages.
- 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 Opher Baron, MMA Academic Director, or the course instructor 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.
Request Process
Please submit the following to the Registrar’s Office by September 3, 2021:
- 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.
Term 1 MMA Courses (November–February)
Course Code/Title / Delivery Mode | Instructor | Class Day/Time | Notes |
---|---|---|---|
RSM8411H – Structuring and Visualizing Data for Analytics INPER | G. Trippen | Mon/Wed (Oct 4-Dec 6) 4:00 – 5:30 pm Fri, Dec 10 2:00 – 4:30 pm | SAS and SQL knowledge required. |
RSM8413H – Big Data Analytics INPER | G.Trippen | Mon/Wed (Oct 4-Dec 6) Wednesday, Dec 6 2:00 – 4:30 pm | Python knowledge required. |
RSM8512H – Modeling Tools for Predictive Analytics INPER | A. Senderovich | Tues/Fri (Oct 5-Dec 10) Tues: 4:00 – 5:30 pm Fri: 10:00 – 11:30 am | R knowledge required. |
Exam week for above courses | Dec 14-21, 2021 (time TBC) |
RSM8431H – Analytics Colloquia (Audit only) (August 2021 – May 2022)
Class # | Day | Date | Time | Room | Topic | Instructor |
---|---|---|---|---|---|---|
1 | Friday | August 6, 2021 | 9:30 am – 11:30 am | Online | Comp Sci | Mike MacDonald |
2 | Wednesday | August 11, 2021 | 9:30 am – 11:30 am | Online | Comp Sci | Mike MacDonald |
3 | Friday | August 13, 2021 | 9:30 am – 11:30 am | Online | Comp Sci | Mike MacDonald |
4 | Wednesday | August 18, 2021 | 9:30 am – 11:30 am | Online | Comp Sci | Mike MacDonald |
5 | Friday | August 20, 2021 | 9:30 am – 11:30 am | Online | Comp Sci | Mike MacDonald |
6 | Wednesday | August 25, 2021 | 9:30 am – 11:30 am | Online | Comp Sci | Mike MacDonald |
7 | Tuesday | August 24, 2021 | 4:00 pm – 6:00 pm | Online | Responsible AI | Gillian Hadfield |
8 | Tuesday | August 31, 2021 | 4:00 pm – 6:00 pm | Online | Responsible AI | Gillian Hadfield |
9 | Tuesday | September 7, 2021 | 4:00 pm – 6:00 pm | Online | Responsible AI | Gillian Hadfield |
10 | Thursday | October 7, 2021 | 3:00 pm – 5:00 pm | D Hall | Causal Modeling | Mike Ryall |
11 | Thursday | October 14, 2021 | 3:00 pm – 5:00 pm | D Hall | Causal Modeling | Mike Ryall |
12 | Thursday | October 21, 2021 | 3:00 pm – 5:00 pm | D Hall | Causal Modeling | Mike Ryall |
13 | Thursday | October 28, 2021 | 3:00 pm – 5:00 pm | D Hall | API | Adrian Petrescu |
14 | Thursday | November 4, 2021 | 3:00 pm – 5:00 pm | D Hall | API | Adrian Petrescu |
15 | Thursday | November 11, 2021 | 3:00 pm – 5:00 pm | D Hall | API | Adrian Petrescu |
16 | Thursday | November 18, 2021 | 3:00 pm – 5:00 pm | Streaming into D Hall | Social Network Analysis | Kanchana Padmanabhan |
17 | Thursday | November 25, 2021 | 3:00 pm – 5:00 pm | Streaming into D Hall | Social Network Analysis | Kanchana Padmanabhan |
18 | Thursday | December 2, 2021 | 3:00 pm – 5:00 pm | Streaming into D Hall | Social Network Analysis | Kanchana Padmanabhan |
19 | Friday | February 11, 2022 | 1:00 pm – 3:00 pm | L1035 | Hadoop | Adrian Petrescu |
20 | Tuesday | February 15, 2022 | 3:00 pm – 5:00 pm | L1035 | Hadoop | Adrian Petrescu |
21 | Friday | February 18, 2022 | 1:00 pm – 3:00 pm | L1035 | Hadoop | Adrian Petrescu |
22 | Friday | February 25, 2022 | 1:00 pm – 3:00 pm | L1035 | Hadoop | Adrian Petrescu |
23 | Friday | March 4, 2022 | 1:00 pm – 3:00 pm | L1035 | CRM | Adam Eveline & Sandeep Kumar |
24 | Friday | March 11, 2022 | 1:00 pm – 3:00 pm | L1035 | CRM | Adam Eveline & Sandeep Kumar |
25 | Thursday | March 17, 2022 | 3:00 pm – 5:00 pm | L1035 | CRM | Adam Eveline & Sandeep Kumar |
26 | Friday | April 8, 2022 | 1:00 pm – 3:00 pm | L1035 | SAS: Fraud Detection | SAS |
27 | Thursday | April 14, 2022 | 10:00 am – 12:00 pm | L1035 | SAS: Fraud Detection | SAS |
28 | Friday | April 22, 2022 | 1:00 pm – 3:00 pm | L1035 | SAS: Fraud Detection | SAS |
29 | Tuesday | April 26, 2022 | 3:00 pm – 5:00 pm | L1035 | MLOps | IBM |
30 | Friday | April 29, 2022 | 1:00 pm – 3:00 pm | L1035 | MLOps | IBM |
31 | Wednesday | May 4, 2022 | 1:00 pm – 3:00 pm | L1035 | MLOps | IBM |
Term 2 MMA Courses (March–June) – Subject to Change
- Not available for credit to MBA students graduating in 2022 as they end in mid-May
- Each course in the Spring term will expect students to be able to code in all four languages (SQL, SAS, R, Python)
- There is a two-week break for the practicum sprint from March 21 to April 1, 2022
Course Code /Title / Delivery Mode | Instructor | Class Day/Time |
---|---|---|
RSM8224H – Analytic Insights using Accounting and Financial Data INPER | S. Liao | Tues/Thurs (Feb 10 – May 5) 11:30 am – 1:00 pm |
RSM8423H – Optimizing Supply Chain Management and Logistics INPER | A. Cire | Mon/Wed (Feb 7 – May 2) 3:00 – 4:30 pm |
RSM8521H – Improving Customer Value with Analytics to Leveraging AI and Deep Learning Tools in Marketing INPER | B. Keng | Mon/Wed (Feb 7 – May 2) 5:30 – 7:00 pm |
RSM8522H – Analytics for Marketing Strategy HYBRID | M. Shi | Tues/Thurs (Feb 10 – May 5) 9:00 – 10:30 am |
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 2021 Dates | Time | Instructor | Area |
---|---|---|---|
Wednesday, September 1 | 9:00 am – 11:00 am | J. Cao | SQL |
Friday, September 3 | 1:00 pm – 3:00 pm | J. Cao | SQL |
Tuesday, September 7 | 9:00 am – 11:00 am | J. Cao | SQL |
Thursday, September 2 | 10:00 am – 12:30 pm | D. Krass | Stats |
Tuesday, September 7 | 12:30 pm – 3:00 pm | D. Krass | Stats |
Tuesday, September 9 | 10:30 am – 12:30 pm | D. Krass | Stats |
Friday, September 10 | 10:30 am – 12:30 pm | D. Krass | Stats |
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. Visit the Faculty of Law for information on their senior level courses.
Courses are reviewed 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 to inquire if they accept “out of faculty” requests.
Incomplete requests will not be considered.
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
Centre for Global Engineering
Course | Insturctor(s) | Schedule | Format |
---|---|---|---|
JCR1000Y – An Interdisciplinary Approach to Global Challenges Note: Equivalent to 1.0 FCE (2 Rotman elective credit) Syllabus (PDF) | Erica Di Ruggiero; Anita McGahan; Joseph Wong; | Fall + Spring Term Fri 9:00 a.m.–12:00 p.m. (To accommodate speaker schedules, there will be a few classes outside of the scheduled time) | Online Synchronous |
Course Descriptions
JCR1000Y — An Interdisciplinary Approach to Global Challenges
In order to create sustainable solutions to the world’s most important challenges, global development professionals must reach beyond the traditional boundaries of their field of expertise combining scientific/technological, business, and social ideas in an approach known as integrated innovation.
In this project-based course, students from multiple disciplines (e.g. engineering, management, health and social sciences) will work together—using participatory methods with an international partner—to address a locally relevant challenge. This year’s focus lies at the intersection between gender and employment. The final deliverables for addressing the challenge at the end of the school year will include: a prototype of the end product, a business plan, a policy analysis, and analysis of impact on global health.
Faculty of Law
Course | Instructor(s) | Schedule |
---|---|---|
LAW6039HS – Looking Ahead: Blurred Lines of Technology, Body, and Mind | Benjamin Alarie Daniel Debow | Mon 8:30 a.m.–10:20 a.m. |
Faculty of Music
Registration for Faculty of Music graduate courses opens Wednesday, August 4, 2021. To start the registration process, students should send the Instructor, Professor Catherine Moore, the SGS add/drop form, with the top part of the form filled in, clearly written email address, and signature. Please send the form to: catherinej.moore@utoronto.ca
The focal points for Digital Media Distribution in 2021 will be innovative business, technology, and creative environments such as Virtual Reality, Artificial Intelligence, Blockchain (especially as the supporting infrastructures for NFTs), and VUIs (“smart speakers”). The course content reflects the ongoing collaboration across the Faculty of Music’s U of T Faculty partners: distribution models; technology; computer science; law; policy; digital media rights-holders; and the creation of multi-media experiences.
Course | Instructor(s) | Schedule | Location |
---|---|---|---|
JDM3619H-F – Digital Media Distribution | Catherine Moore | Fridays: September 10 to December 3, 2021 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
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.
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.
University of Toronto Library Guide
Institute of Health Policy, Management & Evaluation (IHPME) – Dalla Lana School of Public Health
Students wishing to take courses at IHPME must forward an SGS Add/Drop form to ro@rotman.utoronto.ca by the following deadlines:
Fall Courses: August 16, 2021
Winter/Spring Courses: December 6, 2021
Summer Courses: March 28, 2022
Master of Health Informatics (MHI) Courses
Course | Term | Instructor(s) | Schedule | Delivery Mode |
---|---|---|---|---|
MHI2001 – Fundamentals of Health Informatics Schedule | Fall 2021 | Karim Keshavjee Aviv Shachak | Fridays: September 24, October 8, October 15, November 26, December 10 (9 am – 1 pm) Thursdays: December 9 (5 pm – 9 pm) | Online Synchronous |
MHI2012 – Introduction to Big Data for Health Schedule | Fall 2021 | Morgan Lim David Kirsch | Tuesdays: September 7 to November 23, 2021 (12 pm to 2 pm) | Online Synchronous |
MHI2018H – Knowledge Management & Systems Schedule | Winter 2022 | Karim Keshavjee | Thursdays: January 6, January 20, February 3, February 17, March 10, March 24 (5:30 pm – 9:30 pm) | TBD |
Health Services Research (HSR) Courses
Course | Term | Instructor(s) | Schedule | Delivery Mode |
---|---|---|---|---|
HAD5760H – Advanced Health Economics & Policy Analysis Schedule | Fall 2021 | Audrey Laporte | Tuesdays September 14 to December 7, 2021 (2 pm – 4 pm) | Online Synchronous |
Master of Health Science (MHSc) – Health Administration Courses
Course | Term | Instructor(s) | Schedule | Delivery Mode |
---|---|---|---|---|
HAD5736H – Operations Research: Tools for Quantitative Health Care Decision Making Schedule | Fall 2021 | Mike Carter Dionne Aleman | Fridays and Saturdays September 17/18 October 8/9 October 29/30 November 19/20 December 10/11 (8 am – 12 pm) | Online Synchronous |
HAD5765H – Case Studies in Health Policy Schedule | Winter 2022 | Raisa Deber | Wednesday January 12 (3 pm – 4 pm) Fridays January 14, February 4, February 25, March 18, April 8 (10 am – 1 pm) | Online Synchronous |
HAD5713H – Introduction to Health Information Systems Schedule | Fall 2021 | Mark Fam | Fridays September 10 (9 am – 12 pm) October 1 (9 am – 12 pm) November 12 (9 am – 12 pm) December 3 (9 am – 4 pm) Saturdays September 11 (9 am – 12 pm) October 23 (9 am – 4 pm) November 13 (1 pm – 4 pm) | Online Synchronous |
System, Leadership & Innovation (SLI) Courses
Course | Term | Instructor(s) | Schedule | Delivery Mode |
---|---|---|---|---|
HAD400H-F3 – Innovation in Integrated Health and Social Care | Fall 2021 | Geoff Anderson | October, November, December 2021 (3 sessions total, to be scheduled to accommodate students enroled) | Synchronous and asynchronous sessions |
HAD2008H – Human Factors, Strategy, and Innovation Leadership Schedule | Winter 2022 | Abi Sriharan | February – April 2022 (5:30 pm – 9 pm) Dates TBD | Online Synchronous |
HAD2003H – Leading and Responding to Health Policy and System Change Schedule | Winter 2022 | Geoff Anderson | Wednesdays January 12, 19, 26 February 2, 9, 16 March 2, 9, 23, 30 April 6 5:30 pm – 8:30 pm | TBD |
HAD2002H – Research Methods for Evaluating Health System Innovation (prerequisite: HAD2003H – Leading and Responding to Health Policy and System Change) Schedule | Spring/Summer 2022 | Geoff Anderson | Wednesdays April 13, 20, 27 May 4, 11, 18 June 1, 8, 15, 22, 29 (5:30 pm – 8:30 pm) | TBD |
HAD2007H – Leading Health Systems Innovation and Transformation Schedule | Summer 2022 | Abi Sriharan Terry Sullivan | June 2022 Five full days (between 9 am – 5 pm) Session dates TBD | TBD |
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 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).
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