Program overview
Admission Requirements
Intakes

Last updated on 2025-07-11

Program overview

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 is designed to provide students with a strong foundation in both fields, preparing them for a variety of career paths and further studies.

Program Structure

The Integrated Mathematics and Computer Science program offers a comprehensive curriculum that spans four or five years of full-time study. Students can choose between a regular program or a co-op option, which provides valuable work experience. Key features of the program structure include:

  • Experiential learning opportunities, including a capstone project and research study.
  • Access to courses taught by area experts in mathematics and computer science.
  • Flexibility in upper-year courses tailored to various career trajectories.
  • Direct-entry co-op program that allows students to apply classroom concepts in real-world situations.

This program is delivered in-class at Ontario Tech University, located in North Oshawa, with a start date in September. Students are encouraged to engage in self-directed group projects inspired by industry problems, enhancing their learning experience.

Featured Experiences

  • Co-op option providing full-time, paid employment opportunities during studies.
  • Experiential learning in data science, machine learning, and artificial intelligence.
  • Capstone project that allows students to apply their knowledge to real-world challenges.
  • Research study and undergraduate thesis opportunities for deeper exploration of topics.
  • Strong partnerships with leading employers in business and industry for networking and job placements.

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 and models that enable machines to learn from data.
  • Data Scientist: Extract insights from large data sets using statistical methods and programming skills.
  • Software Developer: Design and implement software applications to meet user needs and improve functionality.

Additionally, an Honours undergraduate degree in this field allows graduates to pursue further 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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