Sessional Lecturer, INF- Introduction to Statistics Data Science

Sessional Lecturer – INF
1344H – Introduction to Statistics for Data Science

University of Toronto – Faculty of Information – Summer Term 2026 (Session

F)

This course will provide students an introduction to statistics and statistical methods. It is intended and designed for students who have little or no familiarity with statistics in the Master of Information program so that their knowledge base is built on a solid foundation, which will prepare them for advanced data science courses in the program. This course emphasizes the application of statistical concepts and methods.

This course will help students develop the ability to use quantitative methods to describe real world situations and to make ethical inferences and decisions based on the statistical results. Students will strengthen critical thinking skills to assess the value and limitations of measures and statistical estimates. This course will help students learn to construct reports that include meaningful charts, tables, and graphs for various audiences and that provide text that is appropriate for different audiences.

The course will have lab sessions throughout the semester. The purpose of the lab session is to provide students with hands‑on experience with data handling and regression analysis.

Estimated course enrollment: 70

Estimated TA support: 75 hours with enrollment of 36 or greater. Allocation of TA hours, if any, will be based on enrollment numbers.

Class schedule: TBD. You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date.

Sessional dates of appointment:
May 1, 2026 – June 30, 2026

• Sessional Lecturer I: $10,696
• Sessional Lecturer I Long Term: $11,445
• Sessional Lecturer II: $11,445
• Sessional Lecturer II Long Term: $11,713
• Sessional Lecturer III: $11,713
• Sessional Lecturer III Long Term: $11,986

Rates stipulated in the collective agreement, if different, shall prevail.

Preferably, candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred.

• Preparing course materials
• Delivering course content (e.g., seminars, lectures, and labs)
• Developing and administering course assignments, tests & exams
• Grading
• Holding regular office hours

Feb. 9, 2026

Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one PDF file to the attention of Nafiseh Yazdian, Administrative Coordinator, Faculty of Information, 140 St. George Street, University of Toronto, via email to s This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.

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 (Use the "Apply for this Job" box below)..

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

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