Collaborative Specialization in Artificial Intelligence (CSAI) (M.Sc./M.A.Sc.)

The University of Guelph’s Collaborative Specialization in Artificial Intelligence (CSAI) provides thesis-based master’s students with a diverse and comprehensive knowledge base in artificial intelligence (AI). Students learn from a multidisciplinary team of faculty with expertise in fundamental and applied deep learning and machine learning, while conducting AI-related research guided by a faculty supervisor. Through a combination of online learning, lectures, team-based problem-solving and experiential learning opportunities, students obtain broad expertise in machine learning and AI, including essential skills in programming and algorithmic thinking, mathematical foundations and statistical analysis for AI, optimization, and data visualization. Students also develop an intimate understanding about the policy, regulatory and ethical issues related to AI and its uses.

Admission Requirements

• 4 year Degree in Computer Science.

What You’ll Learn

• Employ common tools in artificial intelligence and machine learning (such as using data visualization techniques to perform exploratory data analysis).
• Express the mathematical foundations of artificial intelligence and machine learning, including relevant topics in calculus, linear algebra, and probability theory.
• Employ general-purpose optimizers to fit the parameters and hyper-parameters of machine learning models, and contrast the similarity and difference between machine learning and optimization.
• Master the algorithmic foundations of artificial intelligence and machine learning, identify canonical algorithmic problems, and propose existing algorithmic paradigms to solve them.