MMAI
Master of Management in Artificial Intelligence
Looking for Innovators and AI Visionaries
The Schulich MMAI is a 12 month, full-time, in person program with one intake per year, Summer (May).
Artificial Intelligence (AI) is undergoing a landmark evolution, transforming the private and public sectors. As organizations adopt and invest in AI technology, a new style of management is needed – one that pairs a leader’s vision with a scientist’s mastery over a growing body of specialized knowledge.
The 12-month full-time Master of Management in Artificial Intelligence (MMAI) is designed to meet the growing need for talented professionals with the skills and advanced applied knowledge to develop, evaluate, refine and implement AI-related applications and technologies.
The immersive curriculum offers a technical foundation in natural language processing, computational methods and modeling, paired with core business skills. Students will explore a critically evolving ethical landscape as they confront moral topics in AI, such as algorithmic bias, data privacy and intelligent agent autonomy.
The capstone Artificial Intelligence Consulting Project (AICP) provides students with an opportunity to solve a significant business problem by designing a managerial approach. Working in teams, students will deliver a solution to a client organization, interacting with industry managers, technicians, suppliers and other stakeholders.
The MMAI is recognized by the Vector Institute for Artificial Intelligence as delivering a curriculum that equips its graduates with the skills and competencies sought by industry. All MMAI students may be eligible for merit based Vector Institute Scholarships valued at $17,500.
Career Opportunities
The MMAI will produce creative problem-solvers equipped to leverage AI in business, non-profit, governmental or start-up organizations. Graduates will possess a competitive combination of management skills, technical expertise and the ethical sensibilities required to execute solutions to business challenges.
Career support is embedded throughout the MMAI program journey, with structured training in areas such as personal branding and case interview preparation. Students will grow their expertise in Apache Hadoop, Structured Query Language (SQL), Tableau Data Visualization and Microsoft Azure.
As part of your MMAI career services you will also have access to the Centre for Career Design (CCD), providing you with online access to year-round job postings and career tools as well as corporate information sessions and CCD-run events.
Our MMAI could lead you to an exciting career in an organization such as...
MMAI Program Details by Category
Requirement Checklist
The general admission requirements for the MMAI are listed below. Meeting the minimum admission requirements does not guarantee admission, as space in the program is limited. A holistic approach is taken during the application review process and all components of the application are thoroughly reviewed. Three-year degree holders who have strong results in relevant technical courses and have a year or more of professional work experience in data intensive computing may be considered for admission.
An undergraduate degree from a recognized post-secondary institution with a minimum B+ average in the last two full years (or equivalent) of academic work in one of the following subjects: Mathematics, Business, Computer Science, Economics, Engineering or Science. Undergraduate degree holders in other subject areas (Social Sciences, Arts and Humanities, Fine and Performing Arts, Education etc.) will be considered if they have completed a significant number of university courses in relevant topics (see list below). Successful applicants will have completed at least one university course on a listed topic, in two of the following categories.
Mathematics/Statistics:- 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:- Business Intelligence
- Data Management
- Data Science for Business
- Artificial Intelligence for Business
- Business Analytics
- Work Experience
Not required but internships or prior experience is recommended
- Completion of the online application which requires:
- Essays (2 written, 1 timed written, 2 video)
- An up-to-date resume
- Two references
- Unofficial copies of transcripts from all previously attended post-secondary institutions*
*Official copies of these documents will be required if an applicant receives an offer to the program
- GMAT/GRE not required
- Proof of English language proficiency if studies were not completed in English.
Accepted Tests Minimum Score IELTS (Academic Test) 7.0 overall (minimum 6.5 on each dimension) TOEFL 100 iBT (minimum 23 on each dimension) for tests taken before January 21, 2026
5 iBT (minimum 4.5 on each dimension) for tests taken after January 21, 2026
Schulich's TOEFL code is B710 with Department Code 02
- Applicants who have completed at least two years of full-time study at an accredited university in a country (or institution) where English is the official language of instruction are not required to submit an English proficiency test.
- Admissions Interview
- Select applicants may be invited to an Admissions Interview as the final stage of the admissions process. If you are selected, you will receive an email invitation with instructions to book a 30-minute virtual interview with a member of the Schulich Admissions team overseeing your program of interest.
- The interview helps us learn more about you beyond your academic history and application materials. Questions may cover topics such as your short and long-term career goals, your interest in, and fit for the program, and examples from your experience related to teamwork, leadership, initiative, communication, adaptability, and problem-solving.
- Please note: An invitation to interview does not guarantee an offer of admission.
*Official copies of these documents will be required if an applicant receives an offer to the program
For more information please see our Application Tips.
Deadlines
The MMAI program is offered on a full-time basis only and starts in May.
| Entry | Round 1 | Round 2* | Round 3 | Round 4** |
|---|---|---|---|---|
| May 2027 | July 8, 2026 | September 23, 2026 | November 4, 2026 | February 10, 2027 |
*International students are encouraged to apply in Round 2. Please keep in mind that you must have enough time to apply for a study permit if you are granted an offer.
Please note: Responses from referees can be completed after the application has been submitted.
Please note: Students may only submit a single application. Students are not permitted to apply in multiple rounds or to multiple programs.
Master of Management in Artificial Intelligence (MMAI) Program Fees
The full-time Master of Management in Artificial Intelligence is completed over three terms. A term is equivalent to one semester, or 12 weeks.
Fees below are based on the Summer 2026 framework, and are subject to change.
| Student Status | Full-Time Tuition per Term/Semester* | Estimated Program Total** |
|---|---|---|
| International Students – Visa/Study Permit | $30,985 | $92,954 |
*Fees are rounded to the nearest dollar and include supplementary fees. For full details on all current tuition, supplementary fees, and student health plans refer to the Student Financial Services website: https://sfs.yorku.ca/fees/courses
**Program totals are estimates only and subject to change. The Estimated Program Total is calculated by multiplying tuition fees by the standard number of terms required to complete the program. Tuition fees charged in Summer, Fall, and Winter.
This program is eligible for OSAP.
From the moment you apply through to graduation and beyond, Schulich provides dedicated support to help international students navigate the application process, immigration requirements, settle into life in Toronto, and prepare for career success in Canada and globally.
Available delivery options
- Full-time 12 months
Location(s)
- Schulich School of Business - Keele Campus, Toronto, ON
Graduation Requirements
To graduate, a student must achieve an overall GPA of at least 4.40. Students must complete the following to be eligible to graduate from the program:
- 45.00 credits of Required Core Courses
Additional pre-start program requirements and promotion standards apply.
The MMAI program is comprised of 45.00 credits of core courses.
Students are eligible for graduation upon their successful completion of 45.00 credits. Expand the menu below to see detailed curriculum requirements.
Click on the course code to view the full description.
Note that course sequencing is subject to change.
Term 1 (Summer)
This course introduces students to the field of artificial intelligence, with a focus on AI- driven business applications. It provides a historical perspective tracing the emergence of basic concepts of contemporary AI. Students learn key artificial intelligence techniques including knowledge representation and symbolic reasoning, biologically inspired approaches to AI, supervised, unsupervised and reinforcement learning, multi-agent systems and natural language processing.
Database Management Systems are computer-based systems used by organizations to manage the vast amount of data that accompany daily operations, support data analysis, and enable intelligent decision making. This course provides an applied introduction to database management systems and their use in the business environment. The course covers the fundamentals of database analysis and design.
An introduction to data science techniques designed for students who will work with data scientists or invest in related ventures. The course introduces fundamental concepts and techniques for the analysis of data-centered business problems, the creation and evaluation of solutions, the data science strategies, the basic cycle of a data-mining project, and the integration into business strategies. Prerequisite: MBAN student
This course is designed to give students the opportunity to practice and develop their analytical thinking and presentation skills. The key objective of the course is to train students to successfully participate in national and international case competitions. A secondary objective is to prepare students to successfully interview for management consulting positions. Second year MBA students who enjoy analyzing cases and delivering presentations are encouraged to take the course.
This course covers the strategic, organizational, and operational aspects of managing projects. Students learn to manage the technical, behavioral, political, and cultural aspects of temporary groups performing unique tasks. Topics covered include: defining deliverables, formulating project strategy, effective group organization and management, dynamically allocating resources, managing without authority, and resolving conflict. Course Credit Exclusion: MGMT 6700 3.00
Term 2 (Fall)
The emphasis in this course will be on automation and autonomous cyber-physical system applications of artificial intelligence. Students will delve deeper into topics which include: probabilistic reasoning & handling uncertainty; search; perception & sensing; human- computer interfacing; conversational systems; and autonomous robotics, drones, and autonomous vehicles.
This course provides the tools needed to build models from data sets, validate models, and make predictions. The course emphasises the SAS environment. Major areas for discussion include analysis of variance, regression, categorical data analysis, and predictive modelling. The course emphasizes both theory and practice, allowing students to use statistical theory for purposes of business case analysis.
This course focuses on the principles and technologies of statistical machine- learning-based natural language processing and their application in text analytics, including retrieval, extraction, recognition, and analysis of information from large textual collections. Prerequisite: MMAI 5040 3.00 Business Applications of Artificial Intelligence I and MMAI 5300 3.00 Numerical Analysis.
Deep learning systems, embodied by a variety of neural network models, are used increasingly in modern business applications. Students will learn about the basics of neural network and deep learning, and their applications to a range of business issues. By the end of the course, students will have sufficient domain knowledge to address practical business problems.
The AI Consulting Project is an intensive, 2-term course where groups of 4 students undertake a comprehensive artificial intelligence (AI) project of an organization and provide business insights to enhance the site’s success. At the conclusion of the project students present their work to a panel of at least two experts, including the course director, and to the client site.
Term 3 (Winter)
This course bridges the theoretical foundation and the business applications of artificial intelligence technology. Through in-class lecturing and hands-on activities, students learn fundamentals of AI technology, formulate business problems in AI paradigm and Applications of AI in addressing business problems. The class covers up-to-date AI applications such as Recommendation Systems, FinTech, Social Network Analytics, Sentiment Analysis etc.
The course covers main approaches to design and analysis of algorithms used in business contexts, including important algorithms and data structures, and results in complexity and computability. This course is a pre-requisite for MMAI 5300.
This course is an introduction to the fundamental theories of visual communication design applied in data visualization and visual analytics. Students become familiar with data-driven decision making workflows and storytelling best practices. Major areas for discussion include visual design principals, data structures, taxonomy of data visualization models and weekly technical tutorials using the Tableau software.
This course explores the ethical underpinning of several technological issues including Artificial Intelligence, Privacy, Machine Replacement, etc. Students will seek to understand the implications of such technological developments on society, and to manage employees and organizations in a way that balances the tension between technological advancement and human ethics.
NOTE: MMAI 6050 6.00 spans Terms 2 and 3. Students will enrol in Fall and continue the course in Term 3 (Winter).
Faculty members teaching in the AI program come from a wide range of backgrounds, including engineering, business, mathematics, statistics and information systems. They have extensive experience in business and industry, and regularly act as consultants and advisors to both private and public organizations.
Program faculty members
- David ElsnerProgram Director, Master of Business Analytics (MBAN) Program; Adjunct Professor of Operations Management and Information Systems; President, DHE Consulting
- Hjalmar TuressonProgram Director, Master of Management in AI program; Adjunct Professor
CI Financial Internships Initiative
CI Financial is a diversified global wealth and asset management company with over $364 billion (as of October 2022) of assets under management/administration. Since 1965, CI Financial has consistently anticipated and responded to the changing needs of investors, driven by a commitment to provide individuals and institutions with the highest-quality investments and advice.
The goal of this initiative is to leverage the strengths and synergies of the two organizations to bring real world learning experiences to students through internships, innovative projects, and industry events. Two team projects in business analytics are already underway this fall.
About Schulich School of Business
Located in Toronto, Canada's business capital, the Schulich School of Business at York University is recognized as one of the world's most innovative and globally relevant business schools. Founded in 1966, Schulich has consistently been ranked #1 in Canada and among the top globally.
With a commitment to leading change, Schulich prepares the next generation of business leaders through rigorous academics, experiential learning, and a deeply international perspective. Our 37,000+ alumni network spans more than 90 countries, providing unparalleled connections for career advancement.