Program overview
Admission Requirements
Intakes

Last updated on 2025-11-26

Program overview

Program overview

The Graduate Certificate in Artificial Intelligence and Data Science is a two-year program tailored for students from non-computer science backgrounds who aspire to enter the tech industry or enhance their current skill set. This intensive program lays a solid foundation in computer science and mathematics, followed by advanced studies in artificial intelligence, data science, machine learning, and software development. With a focus on practical experience, students engage in hands-on labs and projects, ensuring they are well-prepared for the demands of the tech world.

Program structure

The Graduate Certificate in Artificial Intelligence and Data Science is structured to provide a comprehensive learning experience over a period of two years. The program includes:

  • 20 courses delivered in Sault Ste. Marie and Brampton.
  • In-person and hybrid delivery options to accommodate various schedules.
  • A strong emphasis on foundational knowledge in computer science.
  • Advanced topics such as machine learning, data visualization, and big data.
  • Hands-on labs and projects for practical experience.
  • Flexible intake options to fit students' needs.

This program is ideal for individuals looking to break into the tech field, upskill for roles in AI and data science, or earn a recognized Canadian credential.

Featured Experiences

The Graduate Certificate in Artificial Intelligence and Data Science offers several unique features that enhance the learning experience:

  • Hands-on labs that provide practical experience in real-world applications.
  • Projects that allow students to apply their knowledge in a collaborative environment.
  • Flexible delivery methods, including hybrid options, to cater to diverse learning preferences.
  • Opportunities for networking and collaboration with industry professionals.

Career Options

Graduates of the Graduate Certificate in Artificial Intelligence and Data Science can pursue a variety of career paths in Canada, including:

  • Artificial Intelligence Engineer: Develops AI models and algorithms to solve complex problems.
  • Machine Learning Engineer: Designs and implements machine learning applications and systems.
  • Data Scientist: Analyzes and interprets complex data to inform business decisions.
  • Business Intelligence Analyst: Utilizes data analysis to support strategic business initiatives.
  • Software Developer: Creates software solutions and applications tailored to user needs.

With experience, graduates can advance into leadership roles or pursue further education, such as a bachelor's degree in Computer Science at Algoma University.

 

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

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