Artificial Intelligence, MS (Executive Hybrid)

Program Description

Students will learn the theoretical foundations of artificial intelligence and gain hands-on experience in data acquisition, machine learning, deep learning, and other core AI components. They will develop practical skills in areas such as natural language processing, algorithms, computer vision, and robotics. The program also emphasizes the formulation of AI-based solutions using cutting-edge technologies while considering ethical and legal boundaries. 

Program Learning Outcomes

• Analyze opportunities for the use of Artificial Intelligence based on fundamental concepts and methodologies 
• Evaluate technologies instrumental to the development of Artificial Intelligence solutions 
• Develop Artificial Intelligence solutions using leading technology components 
• Evaluate ethical, economic, and environmental implications of proposed AI solutions 
• Develop a decision-making framework to guide ethical AI processes 
• Apply critical thinking and problem-solving skills related to the planning and implementation of artificial intelligence projects in organizations 

Residency-Based Hybrid Delivery 

The program follows a 3 term per academic year structure, with mandatory 3-day residencies during each term. Students must attend all residencies to continue enrollment in the program. In the period before and after the residencies, students will complete their course work online. Instructors will maintain regular ‘virtual’ office hours and will be available to assist students as required throughout the term. 

Course Map

Please visit the course map by term for this program here: Artificial Intelligence, MS (Executive Hybrid) Course Map