At Queen's University in Kingston, Canada, Master of Management in Artificial Intelligence is offered as a master's degree in AI & Machine Learning programme. The programme runs for 12 months, delivered in a hybrid format.
At a glance
Degree:Master's Degree
Field:AI & Machine Learning
Duration: 12 months
Delivery: Hybrid
We have no tuition fees or an application deadline on record for this programme yet — see the official programme page.
— it helps other students.
The Master of Management in Artificial Intelligence at Queen's University's Smith School of Business focuses on the application of artificial intelligence and machine learning in business decision-making, preparing students to identify AI opportunities, guide responsible adoption, and lead organizational transformation. The program is completed in 12 months and uses a HyFlex delivery model, allowing students to attend live sessions in person or participate remotely. The curriculum is recognized by the Vector Institute for Artificial Intelligence, and students with strong prior academic standing may be eligible for Vector Institute scholarships. Admission requires an undergraduate degree from an accredited institution, normally in a quantitative or analytical field such as business, computer science, economics, engineering, mathematics, or science, though applicants from other disciplines may also be considered. Applicants should have at least two years of relevant work experience, though exceptional applicants without it may be considered, and must show evidence of quantitative proficiency along with foundational programming knowledge, as Python is used throughout the curriculum. Applicants whose undergraduate studies were not conducted in English must demonstrate English language proficiency.
Requirements
Admission Requirements: Admission requires an undergraduate degree from an accredited institution, normally in a quantitative or analytical field such as business, computer science, economics, engineering, mathematics, or science, though applicants from other disciplines may also be considered. At least two years of relevant work experience is expected, though exceptional applicants without it may be considered. Applicants must show evidence of quantitative proficiency through university-level coursework in mathematics, statistics, or computer science, prior exposure to calculus, linear algebra, or statistics, experience in programming, data analytics, or mathematical modeling, or a satisfactory GMAT or GRE score, and must have foundational programming knowledge prior to the start of the program, as Python is used throughout the curriculum. Applicants whose first language is not English, and whose undergraduate studies were not conducted in English, must demonstrate English language proficiency, which cannot be waived.
