Looking for Innovators and AI Visionaries
The MMAI program start date is changing to May or Summer beginning in 2023 (subject to Senate approval).
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 the Deloitte Cognitive Analytics and Visualization Lab student teams 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.
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“In the coming decade, the demand for talented individuals with management skills and knowledge of advanced AI applications will continue to grow exponentially. The Schulich MMAI program will produce well-rounded managers who have the potential to become leaders in the fast-growing, transformative field of AI.”
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.Visit the Centre for Career Design
Our MMAI could lead you to an exciting career in an organization such as...
MMAI Program Details by Category
Admission RequirementsView details Hide details
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.
1 – 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.
• Introductory Statistics
• Data Mining and Machine Learning
• Introduction to Data Science
• Linear Algebra
• Introduction to Programming
• Introduction to Data Structures
• Introduction to Databases
• Data Mining
• Business Intelligence
• Data Management
• Data Science for Business
• Artificial Intelligence for Business
• Business Analytics
2- Work Experience
- Not required but internships or prior experience is recommended
3 – Completion of the online application which requires:
4 -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)
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.
- Strong applicants whose first language is not English and do not meet the above language requirements may be considered for admission with the condition of completion of the MBA/Specialized Master’s Preparation Program offered by the York University English Language Institute.
*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.
The Master of Management in Artificial Intelligence is offered on a full-time basis only. Full time studies start in May (subject to Senate approval).
|Entry||Round 1*||Round 2||Round 3||Round 4**|
|May 2023||September 21, 2022||November 23, 2022||February 15, 2023||N/A|
*International students are encouraged to apply in Round 1. International students are still welcome to apply after this date and will be considered for admission pending space in the program. Please keep in mind that you must have enough time to apply for a study permit if you are granted an offer.
**For domestic applicants only.
Please note: Responses from referees can be completed after the application has been submitted.
Students may only submit a single application. Students are not permitted to apply in multiple rounds or to multiple programs.
Tuition & FeesView details Hide details
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 2022-2023 fee framework, and are subject to change.
|Student Status||Full-Time Tuition per Term/Semester*
Charged in Fall, Winter, and Summer.
|Estimated Program Total**
Current tuition fee multiplied by typical number of terms required for program completion.
Canadian Citizen, Landed Immigrant,
|$ 17,995||$ 54,000|
|$ 28,041||$ 84,100|
*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.
**Tuition fees have not yet been set for the 2023-2024 academic year. Program totals are estimates only and subject to change. The Estimated Program Total is calculated by multiplying current 2022 tuition fees by the standard number of terms required to complete the program. Program total estimates are rounded to the nearest $50.
Study OptionsView details Hide details
Curriculum OverviewView details Hide details
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.View Program Requirements Hide Program Requirements
Term 1 (Fall)
Click on the course code to view the full description.
- MMAI 5000 3.00 ARTIFICIAL INTELLIGENCE FUNDAMENTALS
- MMAI 5100 3.00 DATABASE FUNDAMENTALS
- MMAI 5200 3.00 ALGORITHMS FOR BUSINESS ANALYSIS
- MGMT 6300 3.00 CASE ANALYSIS AND PRESENTATION SKILLS
- GS/PHIL 5340 3.00 ETHICS AND SOCIETAL IMPLICATIONS OF ARTIFICIAL INTELLIGENCE
Term 2 (Winter)
- MMAI 5040 3.00 BUSINESS APPLICATIONS OF ARTIFICIAL INTELLIGENCE I
- MBAN 5140 3.00 VISUAL ANALYTICS AND MODELLING
- MMAI 5300 3.00 NUMERICAL METHODS AND ANALYSIS
- MMAI 6050 6.00 AI CONSULTING PROJECT
- ORGS 6350 3.00 MANAGING CHANGE
NOTE: MMAI 6050 6.00 spans Terms 2 and 3. Students will enrol in Winter and continue the course in Term 3 (Summer).
Term 3 (Summer)
FacultyView details Hide details
Program faculty members
Julian Scott Yeomans
Professor of Operations Management and Information Systems; Director, Master of Business Analytics; Director, Master of Management in Artificial IntelligenceView profile
Associate Professor of Operations Management and Information Systems; Director, Centre of Excellence in Analytics & AI Leadership, Schulich Executive Education Centre; Special Advisor, AI & Business AnalyticsView profile
Professor of Operations Management & Information SystemsView profile
Associate Professor of Operations Management and Information Systems; York Research Chair in Managing AI-Driven Technologies in Health CareView profile
Adjunct Professor, Master of Management in Artificial Intelligence (MMAI) Program and Master of Business Analytics (MBAN) Program; President, DHE Consulting; Managing Partner, illuminaiteView profile
Richard H. Irving
Professor Emeritus of Operations Management and Information SystemsView profile
Lecturer, Master of Business Analytics and Master of Management in Artificial IntelligenceView profile
Henry M. Kim
Associate Professor of Operations Management and Information Systems; Co-Director, BlockchainLabView profile
Deloitte Data Scientist; Adjunct Professor, Master of Business Analytics and Master of Management in Artificial IntelligenceView profile
Professor of Operations Management and Information Systems; CPA Ontario Chair in International Entrepreneurship; Co-director of Entrepreneurial StudiesView profile
Wade D. Cook
University Professor Emeritus of Operations Management and Information Systems; Gordon Charlton Shaw Professor of Management ScienceView profile
Zhepeng (Lionel) Li
Associate Professor of Operations Management and Information SystemsView profile