Program overview
Admission Requirements
Intakes

Last updated on 2025-07-21

Program overview

Program overview

The Machine Learning (AEC) program is designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of artificial intelligence. This program focuses on the principles and techniques of machine learning, enabling students to develop algorithms and models that can analyze and interpret complex data. With a strong emphasis on practical applications, students will engage in hands-on projects that prepare them for real-world challenges in various industries.

Program structure

The Machine Learning (AEC) program offers a comprehensive curriculum that spans a duration of 1 year. This program is structured to provide students with a solid foundation in machine learning concepts and practices. Key features of the program structure include:

  • Hands-on learning experiences through practical projects.
  • Access to state-of-the-art technology and tools used in the industry.
  • Opportunities for collaborative learning and teamwork.
  • Flexible learning options, including full-time and part-time study.
  • Potential for co-op placements or internships to gain real-world experience.

Featured Experiences

  • Co-op opportunities that allow students to gain valuable industry experience.
  • Access to labs equipped with the latest machine learning software and hardware.
  • Field experiences that provide practical applications of machine learning concepts.
  • Joint partner programs with industry leaders to enhance learning and networking.
  • Workshops and seminars led by industry professionals to stay updated on trends.

Career Options

  • Data Scientist: Analyze and interpret complex data sets to help organizations make informed decisions.
  • Machine Learning Engineer: Design and implement machine learning models and algorithms for various applications.
  • AI Research Scientist: Conduct research to advance the field of artificial intelligence and develop innovative solutions.
  • Business Intelligence Analyst: Utilize data analysis techniques to provide insights that drive business strategies.
  • Software Developer: Create software applications that incorporate machine learning functionalities to enhance user experience.

 

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

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