Program overview
Admission Requirements
Intakes

Last updated on 2025-07-21

Program overview

Program overview

The Artificial Intelligence and Machine Learning (AEC) program is designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of AI and machine learning. This program focuses on practical applications and theoretical foundations, ensuring that graduates are well-prepared to tackle real-world challenges. Students will engage in hands-on projects and collaborative learning experiences, fostering a deep understanding of AI technologies and their implications in various industries.

Program structure

The Artificial Intelligence and Machine Learning program is structured to provide a comprehensive education over a specific duration. The program includes:

  • Hands-on learning experiences through projects and labs
  • Opportunities for co-op placements to gain real-world experience
  • Collaborative projects that encourage teamwork and innovation
  • Access to state-of-the-art technology and resources

Students will benefit from a curriculum that adapts to the latest industry trends, ensuring they are equipped with relevant skills upon graduation. The program is designed to be flexible, allowing students to tailor their learning experiences to their career goals.

Featured Experiences

  • Co-op opportunities that provide valuable industry experience
  • Hands-on lab sessions to apply theoretical knowledge in practical settings
  • Field experiences that enhance learning through real-world applications
  • Joint partner programs with industry leaders for enhanced networking
  • Access to workshops and seminars led by industry experts

Career Options

  • Data Scientist: Analyze and interpret complex data to help organizations make informed decisions.
  • Machine Learning Engineer: Design and implement machine learning models and algorithms to solve specific problems.
  • AI Research Scientist: Conduct research to advance the field of artificial intelligence and develop new technologies.
  • Business Intelligence Analyst: Use data analysis tools to provide insights that drive business strategies.
  • Software Developer: Create software applications that incorporate AI and machine learning functionalities.

 

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

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