Program overview
Admission Requirements
Intakes
Program overview

Program overview

The Master of Science in Computer Science at Lakehead University offers a comprehensive exploration of advanced knowledge in the field. This program is designed for students who wish to engage in research and develop expertise in various areas of computer science. With a focus on innovative technologies, students will have access to state-of-the-art facilities and resources. The program is available in three distinct routes: Thesis, Project, and Course-based, allowing students to choose the path that best aligns with their academic and career goals. The program also includes an optional co-op placement for those pursuing the Project and Thesis routes, providing valuable industry experience.

Program structure

The Master of Science in Computer Science program at Lakehead University is structured to provide flexibility and depth in learning. The program options include:

  • Master’s by Course: A one-year program focused on coursework aligned with IT industry requirements.
  • Master's by Project: A two-year program that combines coursework with a limited research project.
  • Master's by Thesis: A two-year program that emphasizes substantial research with fewer courses.

Students can also specialize in Artificial Intelligence through the thesis-based route. The program is designed to be completed within a maximum of two years of continuous registration. For those opting for the co-op placement, students must complete two terms of coursework before being eligible for co-op opportunities, which typically last for eight months. This structure ensures that students gain both theoretical knowledge and practical experience, preparing them for advanced roles in the tech industry.

Featured Experiences

  • Co-op placement opportunities available for Project and Thesis students, enhancing real-world experience.
  • Access to state-of-the-art computing facilities, including smart lecture rooms and specialized labs.
  • Specialization in Artificial Intelligence, focusing on core AI techniques and ethical considerations.
  • Research opportunities in various emerging technologies such as deep learning and natural language processing.
  • Collaboration with the Student Success Centre for co-op placements and career support.

Career Options

  • Software Developer: Design and develop software applications, working on various platforms and technologies.
  • Data Scientist: Analyze and interpret complex data to help organizations make informed decisions.
  • AI Researcher: Conduct research in artificial intelligence, focusing on developing new algorithms and technologies.
  • Systems Analyst: Evaluate and improve IT systems to enhance business efficiency and effectiveness.
  • Network Engineer: Design, implement, and manage computer networks, ensuring optimal performance and security.

 

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

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