Last updated on 2025-07-11
Program Overview
Graduate into an industry that has a steady demand for employees with skill sets that combine two disciplines, which has long benefited from trained talents in combining math and computer science. The Integrated Mathematics and Computer Science program at Ontario Tech University prepares students for a competitive edge in the job market, focusing on experiential learning in data science, machine learning, and artificial intelligence. Graduates are well-equipped for both immediate employment and further studies in mathematics and computer science.
Program Structure
The Integrated Mathematics and Computer Science program is designed to be completed in four or five years, depending on the chosen path. Here are some key features of the program structure:
- Full-time program load
- Delivery method: In-class
- Start dates: September
- Experiential learning opportunities, including a capstone project and co-op options
- Flexibility in upper-year courses tailored for various career trajectories
Students can choose between a regular program or a co-op option, which provides valuable work experience and networking opportunities. The curriculum integrates mathematics, computer science, and statistics, allowing students to solve complex problems using programming and mathematical analysis.
Featured Experiences
- Direct-entry co-op program offering full-time, paid employment opportunities
- Experiential learning through self-directed group projects inspired by industry problems
- Access to courses taught by area experts in both mathematics and computer science
- Opportunities for research study and undergraduate thesis
- Recognition as a stand-out program by Macleans University Rankings
Career Options
Graduates of the Integrated Mathematics and Computer Science program can pursue a variety of career paths in Canada, including:
- Computational Analyst: Analyze complex data sets to inform business decisions and strategies.
- Financial Analyst: Evaluate financial data to guide investment decisions and financial planning.
- Machine Learning Engineer: Develop algorithms that enable computers to learn from and make predictions based on data.
- Data Scientist: Utilize statistical methods and programming skills to extract insights from large data sets.
- Software Developer: Design and implement software applications that meet user needs and improve functionality.
With an Honours undergraduate degree in this field, graduates are also well-prepared for graduate studies, including master's programs in Computer Science or Modeling and Computational Science.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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