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Management in Artificial Intelligence

Management in Artificial Intelligence

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LocationEmail AddressProgram Website
W263, Seymour Schulich

The Graduate Program in Management in Artificial Intelligence ( MMAI ) is designed to prepare individuals to seek and obtain meaningful employment in artificial intelligence (AI)-related management positions, whether in private, public or non-profit organizations. AI-related fields include, but are not limited to: data science, machine learning, visualizations, natural language understanding, intelligent robotics, knowledge representation, reasoning and management, intelligent agents, human computer interfaces, and recommendation systems.

This graduate program addresses a growing need in post-graduate management education for programs that train students in the tasks of designing, evaluating, refining and implementing practical AI-related solutions and technologies. The degree focuses on strategic thinking, tactical decision making, design techniques and ethics in AI. The objective is to produce well-rounded managers who have the potential to become leaders in AI-management.

The program achieves these objectives over the course of three terms and the completion of 45 credits, and is structured to facilitate the acquisition of AI and management knowledge and skills. A key component is the integration of the acquired knowledge through a capstone community-involved experiential learning project, the AI Consulting Project. This project takes place during the second and third terms.

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Admission Requirements

Master of Management in Artificial Intelligence

The minimum admission requirements are as follows:

Applicants should possess an undergraduate degree from a recognized postsecondary institution with a minimum B+ average in the last two full years (or equivalent) of academic work. To be considered for admission to the MMAI program, applicants must have an undergraduate degree from a postsecondary institution in one of the following subjects: mathematics, business, computer science, economics, engineering or science.

Successful applicants will have completed at least one university course on a listed topic, from at least two of the three categories below.


  • introductory statistics
  • calculus
  • data mining and machine learning
  • introduction to data science
  • linear algebra

Computer Science

  • introduction to programming
  • introduction to data structures
  • algorithms
  • introduction to databases
  • data mining


  • business intelligence
  • data management
  • data Science for business
  • artificial intelligence for business
  • business analytics
  • work experience is not required, but internships or prior work experience is recommended;
  • demonstration of academic ability through high GMAT/GRE are recommended but not required;
  • a supplementary application form that shows strong evidence of leadership ability; and,
  • two letters of recommendation, at least one of which should be from a professor.

Proof of English language proficiency if prior studies were not completed in English: Test of English as a Foreign Language (iBT): 100 with minimum component scores of 23 or International English Language Testing System: 7.0 overall with minimum component scores of 6.5.

Degree Requirements

Master of Management in Artificial Intelligence

Students must successfully complete:

  • 45 credits of coursework, consisting of:
  • 39 credits from 13 required 3.0 credit courses and,
  • 6 credits from an experiential capstone project.

All other requirements are identical to those of Schulich’s other master’s programs.

The MMAI program can be completed on a full-time basis. Entry is fall term.

The Graduate Program in Management in Artificial Intelligence is a three-term program.