The Business Intelligence planning and analytics team has played an integral role in warehousing information on course and program enrolments, student housing, student awards and co-curricular activities. Through a variety of specialized tools, administrators can use this information to view application and admissions rates, take appropriate action to improve student retention rates, and refine curriculum. Priority projects for the current timeframe include:
Retention and Graduation Rate Analysis – Phase 1
The purpose of this project is to better understand the student admissions to graduation life cycle with a view to helping students at the University of Toronto be more successful by using data analysis to identify and isolate potential barriers to success.
The project will provide data and reporting tools related to retention, persistence and graduation of students in direct entry undergraduate programs.
The project will track students through multiple stages:
- Retention: Students’ outcomes from Year 1 to Year 2.
- Persistence: Students’ outcomes from year to year for years beyond Year 2.
- Graduation: Students’ outcomes from admissions to graduation, including by year of graduation.
The intended usage of the data will be to provide users the ability to:
- Review student attributes to identify opportunities for improvement at the curricular level.
- Track trends in retention, persistence and graduation rates.
- Identify factors affecting retention, persistence and graduation outcomes.
- Provide dashboards and analysis to provide insights on factors influencing time to graduate at the aggregate level.
Some examples of the data being analyzed in this project are:
- Cohort binning of students in order to identify the number and percentage of newly admitted students who return, graduate or are inactive
- Course enrolment data to analyze student performance and identify barriers to success such as waitlists.