Compare Programs
Use this tool to view programs you're interested in side-by-side. Click "Add" and select a program to compare - you can add up to three.
When you're done, click "Save" to store the program comparison on your dashboard and come back to view it later.
| Data Science (HBSc) | | |
| ChangeRemoveSave | Add | Add |
School | University of Toronto - St. George | | |
Location | Toronto, ON, Canada | | |
School Type | University | | |
School Size | Full-time Undergraduate: 43,790 Full-time Graduate: 19,074 | | |
Degree | Bachelor | | |
Honours | | | |
Co-op | | | |
Length | 4 Year(s) | | |
Entry Grade (%)* | 80% to 100% | | |
Prerequisites | - Grade12 Calculus and Vectors
- Grade12 English
| | |
Prerequisites Notes | Applicants are required to have an Ontario Secondary School Diploma, and six 4U/M courses, including: Calculus & Vectors (MCV4U) and English (ENG4U). | | |
Cost | | | |
Scholarships | 6 scholarship(s) | | |
Description | The field of Data Science is a combination of statistics and computer science methodologies that enable ‘learning from data’. A data scientist extracts information from data, and is involved with every step that must be taken to achieve this goal, from getting acquainted with the data to communicating the results in non-technical language. The Data Science Specialist program prepares students for work in the Data Science industry or government and for graduate studies in Data Science, Computer Science, or Statistics. Students in the program will benefit from a range of advanced courses in Computer Science and Statistics offered by the University of Toronto, as well as from a sequence of three integrative courses designed especially for the program.
| | |
Next Steps | | | |
*We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.