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Sessional Instructor Assistant-MAF3003

University of Toronto

University of Toronto

Posted on Mar 31, 2026

Sessional Instructor Assistant-MAF3003

Date Posted: 03/30/2026
Req ID: 47506
Faculty/Division: School of Graduate Studies
Department: UTSC:Dept-Management
Campus: University of Toronto Scarborough (UTSC)
Existing Vacancy: Yes

This is a Posting Only. Applications will only be accepted here: https://www.utsc.utoronto.ca/webapps/cupehiring/posting/13948/details

Sessional Instructional Assistant (SIA)

Description: MAF3003H - Business Data Analytics - Summer 2026

The course lays the foundation for predictive analytics and “Big Data” methodologies via state-of-the-art data science techniques and computational tools, and incorporates a series of hands-on case studies motivated by industrial applications and current research questions in the field. By the end of the course, students will be familiar with data manipulation and transformation techniques, and will be capable of applying analytics and data architecture plans to improve decision making in business processes and investigate new ways of exploiting the value of the data. Credit Value (FCE) 0.50 Campus(es) Scarborough Delivery Mode In Class

MAccFin Sessional Instructional Assistant – Summer 2026

The following positions for Sessional Instructional Assistants are available in the Department of Management Scarborough for Summer academic session.

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.” It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment.

Summer 2026 Session Dates: May 4, 2025 - August 31, 2025 or May 4, July 31, 2025

Note: All positions involve completion of all course grading.

Minimum Qualifications

Masters or above. Experience in Excel, Python (Pandas), and Data Analytics. Teaching assistance experience.

Preferred Qualifications

Previous experience is the more relevant criterion than the need to acquire experience in respect of this posted position. Master's or above. Experience in Excel, Python (Pandas), and Data Analytics. Teaching assistance experience.

Relevant Criterion

Previous experience is the more relevant criterion than the need to acquire experience in respect of this posted position.

Teaching Assistant – Summer 2026

The following positions for Teaching Assistants are available in the Department of Management, MAccFin at UTSC for the 2026 Summer academic session.
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.” It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment.
Summer 2026 Session Dates: May 4, 2026 - August 31, 2026
Note: All positions involve completion of all course grading.

TA Support

Marking assignments, cases, exams, and weekly comments. marking papers, tutorials. Holding office hours.

Closing Date: 04/06/2026, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.


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