Program overview
Admission Requirements
Intakes

Last updated on 2025-11-12

Program overview

Program Overview

The Master of Science in Applied Modelling & Quantitative Methods with a focus on Data Science and Analytics at Trent University is designed to equip students with the essential skills and knowledge needed in today's data-driven world. This program emphasizes a blend of theoretical understanding and practical application, preparing graduates for a variety of roles in the field of data science. Students will engage in rigorous training that fosters critical thinking and analytical skills, making them well-prepared to tackle complex data challenges in various industries.

Program Structure

The Master of Science in Applied Modelling & Quantitative Methods - Data Science and Analytics is structured to provide a comprehensive educational experience. Key details of the program include:

  • Program Length: Typically completed in two years of full-time study.
  • Credits: The program requires the completion of a specified number of credits, which includes both core and elective courses.
  • Options: Students may have opportunities for co-op placements or internships, allowing them to gain valuable real-world experience while studying.

This program is designed to be flexible, accommodating the needs of students who may wish to balance their studies with work or other commitments.

Featured Experiences

  • Co-op opportunities that provide hands-on experience in the field.
  • Access to state-of-the-art labs and technology for practical learning.
  • Field experiences that enhance understanding of real-world applications.
  • Joint partner programs that may offer additional learning and networking opportunities.

Career Options

Graduates of the Master of Science in Applied Modelling & Quantitative Methods - Data Science and Analytics can pursue a variety of career paths in Canada, including:

  • Data Scientist: Analyzes complex data sets to inform business decisions and strategies.
  • Quantitative Analyst: Utilizes mathematical models to assess financial risks and opportunities.
  • Business Intelligence Analyst: Transforms data into actionable insights to drive business growth.
  • Data Analyst: Interprets data and provides reports to help organizations make informed decisions.
  • Statistician: Applies statistical methods to collect, analyze, and interpret data for various applications.

 

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

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