Last updated on 2025-11-26
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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