Sessional Lecturer, INF2167H - R for Data Science
Toronto, ON, CA
University of Toronto
The University of Toronto is a globally top-ranked public research university in Toronto, Ontario, Canada.University of Toronto
Faculty of Information
Sessional Lecturer
Fall Term 2025 (September - December)
INF2167H - R for Data Science
Course Description: Data science is a fast-growing field and new tools and techniques are designed everyday to perform data analysis in quick and robust ways. This course covers the fundamentals of data science using the R language and environment for statistical computing and graphics. R is currently widely used by information students and data scientists from various disciplines. The course will teach students how to do data science in an easy way. It is designed for students from the social sciences and from non-programming backgrounds. The course focus is not on learning a new programming language but rather on providing students with skills to approach various research questions that involve analysis of social sciences data. We will learn skills of data collection, storage, cleaning, transformation, visualization, and various techniques of data analysis. Most important, we will learn how those skills are applied in research involving the social world. We will apply those techniques to analyze structured tabular data, networked data, and unstructured text data through experimenting on real datasets, including online data. This course will provide students with a new skill highly in demand in the information and data sciences job markets.
Estimate of the course enrolment: 35
Estimate of TA Support: None anticipated. Estimate of 75 hours with enrollment of 36 or greater. Allocation of TA hours, if any, will be based on enrolment 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: September 1, 2025 – December 31, 2025
Salary:
Sessional Lecturer I: $10,300
Sessional Lecturer I Long Term: $10,764
Sessional Lecturer II $11,021
Sessional Lecturer II Long Term: $11,227
Sessional Lecturer III: $11,279
Sessional Lecturer III Long Term: $11,485
Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Qualifications: 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.
Brief description of duties: Preparing course materials; delivering course content (e.g., seminars, lectures, and labs); developing and administering course assignments, tests & exams; grading; holding regular office hours.
Application Deadline: May 22, 2025
Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of:
Melissa Szopa, Administrative Coordinator, Academic
Faculty of Information, 140 St. George Street
University of Toronto
sessional.ischool@utoronto.ca
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.
Tags: Data analysis PhD R Research Statistics Teaching
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