Program Highlights

• Co-op is available (apply after first year).
• Concentrations in Financial Risk Analysis or Big Data.
• You can access experiential learning opportunities through co-op and labs.
• There is a large demand for the skills learned in the program: IBM has indicated that 71% of financial institutions report that having data science as part of their business makes them more competitive.
• In 2017, IBM indicated that demand for data scientists will soar 28% by 2020.
• Small class sizes, which means you get more personalized attention.
• This is a multidisciplinary program that offers broad-based knowledge and learning.

First-Year Courses

• Introduction to Data Analytics
• Introduction to Programming
• Introductory Linear Algebra
• Calculus I
• Data Structures I
• Introduction to Discrete Structures
• Introduction to Mathematical Proofs
• Understanding the Business Environment
• Introduction to Business Principles for Entrepreneurs
• 1.5 elective credits

Choice may be offered for a selection of these courses. For detailed information, visit Program Requirements.

Admission Requirements

We encourage applicants of all academic backgrounds to apply.

Ontario High School Curriculum

• Minimum admission range: low 80s.
• Competitive admission range, based on last year’s admitted students: high 80s.
• English at 70%.
• Advanced Functions at 80%.
• Calculus & Vectors at 80%.
• All required courses calculated in admission average, including English. 

Other Curriculums

Visit our admission requirements section to find specific requirements for international curriculums, other Canadian curriculums, transfer students and more.

Design Your Degree

These are a few popular academic opportunities that allow you to dive deeper into your major area of study or broaden your knowledge:

• Entrepreneurship Core
• Management Option
• Geomatics Option
• Economics Minor
• minors in natural, physical and social sciences or humanities disciplines

Check out other options to enhance your degree.