Program overview
Admission Requirements
Intakes

Last updated on 2025-04-17

Program overview

Program Overview

The Computing Mathematics and Analytics program at Queen's University is designed to equip students with a strong foundation in both mathematics and computer science. This interdisciplinary program emphasizes the application of mathematical techniques and computational methods to solve complex problems. Students will engage in a curriculum that fosters critical thinking, analytical skills, and practical experience, preparing them for a variety of careers in technology and data analysis.

Program Structure

The Computing Mathematics and Analytics program is structured to provide a comprehensive education over a four-year period. The program includes:

  • A blend of theoretical and practical coursework.
  • Opportunities for hands-on learning through projects and collaborative work.
  • Options for co-op placements, allowing students to gain real-world experience.
  • Flexibility in choosing electives to tailor the program to individual interests.

Students will benefit from a well-rounded education that combines mathematics, statistics, and computer science, ensuring they are well-prepared for the demands of the job market.

Featured Experiences

  • Co-op opportunities that provide valuable industry experience.
  • Access to state-of-the-art laboratories for practical learning.
  • Field experiences that enhance understanding of real-world applications.
  • Joint partner programs that may offer additional learning opportunities.

Career Options

  • Data Analyst: Analyze data sets to identify trends and insights that inform business decisions.
  • Software Developer: Design and implement software solutions to meet user needs and improve functionality.
  • Mathematician: Apply mathematical theories and techniques to solve practical problems in various industries.
  • Systems Analyst: Evaluate and improve computer systems to enhance efficiency and effectiveness.
  • Quantitative Researcher: Conduct research using mathematical models to support financial and investment strategies.

 

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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