Lakehead University

Overview

The M.Sc. in Computer Science with a focus on Artificial Intelligence at Lakehead University is a comprehensive, thesis-based program designed to equip students with advanced skills in machine learning, deep learning, and intelligent data analysis. This program emphasizes the integration of coursework with supervised research, allowing students to develop practical models and communicate their findings effectively for real-world AI applications.

What You'll Study

This program encompasses a blend of graduate-level coursework and rigorous research, culminating in a substantial thesis and, where required, an academic defense.

• Graduate Coursework: Engage in essential courses that lay the groundwork in artificial intelligence and machine learning, alongside other computing disciplines.
• Research Training: Enhance your research skills through literature reviews, thesis proposal planning, and continuous mentorship from faculty advisors.
• Thesis Component: Conduct significant research leading to a written thesis and an academic defense, as stipulated by departmental guidelines.

Possible Course Themes: Offerings may vary, but typical themes may include:

• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision / Image Processing
• Pattern Recognition
• Artificial Intelligence
• Data Science (when aligned with your research focus)

Note: Your specific study plan will be influenced by your research interests and the availability of courses in each term.

Entry Requirements

• Academic Background: A recognized bachelor's degree (or equivalent) that is comparable to a Lakehead University 4-year degree.
• Minimum GPA: A minimum of 75% or 3.0 on a 4.0 Canadian scale is generally expected.
• English Language Proficiency:
  • IELTS: Minimum score of 6.5
  • TOEFL iBT: Minimum score of 80
  • Duolingo English Test: Minimum score of 110
• Thesis Programme Guidance: It is advisable to identify a potential supervisor early in the application process and submit proof of English proficiency at the earliest opportunity.
• Typical Documents: Submit academic transcripts, proof of English proficiency, and any additional materials required by the graduate admissions office, such as a CV/resume and a statement of purpose.

Career Prospects

Graduates of this program will be well-prepared to pursue various career paths in the rapidly evolving field of artificial intelligence and computer science. Opportunities may include roles in academia, industry research, software development, data analysis, and specialized AI applications across multiple sectors.