Artificial intelligence (AI) is a paradigm for creating systems with capabilities that were traditionally reserved for humans. It enables unique insights that can be used to improve decision making in broad areas of application—from farming to finance.
The Collaborative Specialization in AI provides students with a diverse and comprehensive knowledge base in fundamental AI while they pursue a thesis-based Master’s degree in Computer Science, Engineering, Mathematics and Statistics, or Bioinformatics. It complements traditional research-based Master’s programming with foundational courses and learning experiences in AI.
You can customize your training experience by selecting a thesis topic to pursue, as well as from a broad range of courses that cover the fundamentals of AI, its application in diverse sectors, and the policy, regulatory and ethical issues related to AI. The content is delivered through a combination of online modules, lectures, team projects and experiential learning opportunities. At the end of this program, you will have a good overview of leading-edge AI techniques and an in-depth understanding of how to apply them to real-world problems.
Machine Learning Research Scientist
6 January 2020
University of Guelph
50 Stone Road East,
N1G 2W1, Canada
Prospective students must first meet the admission requirements of a participating home program, which includes Bioinformatics (MSc), Computer Science (MSc), Engineering (MASc), and Mathematics and Statistics (MSc). Once the student is admitted to a home program, their application will be forwarded to the Collaborative Specialization’s Graduate Program Coordinator for review.
English Language Proficiency
Canadian Academic English Language Test (CAEL) - 70
International English Language Testing System (Academic) (IELTS) - 6.5
Michigan English Language Assessment Battery (MELAB) - 85
Pearson Test of English Academic (PTE-A) Note: A minimum score of 60 must be achieved in each individual component - 60
Test of English as a Foreign Language (TOEFL Internet-based test (iBT)) Note: A minimum score of 21 must be achieved in each of the four categories (listening, speaking, reading, writing) – 89