Program overview
Admission Requirements
Intakes

Last updated on 2025-07-10

Program overview

Program overview

The Master of Science in Computational Sciences at Laurentian University is designed to advance your computer science career and deepen your expertise. This program focuses on the theories, mathematics, and applications behind computer science, enabling students to find solutions to real-world problems using cutting-edge developments and tools. Graduates will have access to numerous opportunities in expanding fields such as software engineering and scientific computation. The program is delivered on campus in English, providing a collaborative and engaging learning environment.

Program structure

The Master of Science in Computational Sciences is structured to provide a comprehensive education in computational theories and applications. The program is offered in two options: thesis-based and course-based. The thesis-based option requires students to conduct original research and submit a thesis, while the course-based option focuses on coursework without a thesis requirement.

The program length is typically two years, depending on the chosen path and the student's pace. Key features of the program structure include:

  • On-campus delivery method
  • English as the language of instruction
  • Thesis preparation and defense for thesis-based students
  • Opportunity to take elective courses from approved graduate programs
  • Research proposal submission for thesis stream students

Students are encouraged to work closely with faculty members to identify potential supervisors and tailor their academic journey to their interests and career goals.

Featured Experiences

The Master of Science in Computational Sciences program offers several unique experiences that enhance learning and professional development:

  • Thesis research opportunities that allow students to explore innovative topics in computational sciences.
  • Access to state-of-the-art facilities and resources for conducting research.
  • Participation in seminars and workshops led by faculty and industry experts.
  • Collaboration with peers on research projects and presentations.
  • Potential for internships or co-op placements to gain practical experience in the field.

These experiences are designed to prepare students for successful careers in various sectors of the technology and science industries.

Career Options

Graduates of the Master of Science in Computational Sciences program can pursue a variety of career paths in Canada. Here are some potential job options:

  • Software Engineer: Design, develop, and maintain software applications, ensuring they meet user needs and function efficiently.
  • Data Scientist: Analyze complex data sets to inform business decisions, utilizing statistical methods and machine learning techniques.
  • Research Scientist: Conduct research in computational methods and algorithms, contributing to advancements in technology and science.
  • Systems Analyst: Evaluate and improve computer systems and processes within organizations, ensuring they align with business goals.
  • Machine Learning Engineer: Develop algorithms and models that enable machines to learn from data, enhancing automation and predictive capabilities.

These roles highlight the diverse opportunities available to graduates, allowing them to make significant contributions to their fields.

 

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

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