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Master of Business Analytics and AI (MBAI)

The Master of Business Analytics and Artificial Intelligence (MBAI) is a professional degree program that provides students with a theoretical knowledge base and practical experience working with data and people in decision-making. The content of the degree covers three main domains, which are applications of AI, Business Analytics, and Management Opportunities. The program provides students with multiple perspectives about business analytics and artificial intelligence, ranging from an ethical and managerial level understanding of implications to practical applications of programming business analytics and AI solutions. Graduates of the Master of Business Analytics and AI can find highly successful careers in a variety of business analytics roles in the private and public sectors, where data is used to make decisions. 

Tailor your MBAI experience by focusing on a field that aligns with your interests and career goals in responsible AI, innovation, and data-driven decision-making.

AI Governance

Explore ethical, regulatory and policy frameworks for responsible artificial intelligence.

Entrepreneurship

Turn data-driven insights and AI solutions into innovative ventures and opportunities.

Supply Chain

Apply analytics and AI to logistics, forecasting, operations and global supply networks.

Program learning outcomes

Skills built for an AI-driven workplace

The MBAI program helps students combine analytics, artificial intelligence, business strategy and responsible decision-making to solve real organizational problems.

Analytics & Decisions

Design analytics solutions that support business problem-solving and data-driven decision-making.

AI & Machine Learning

Examine, adapt and evaluate machine learning and AI models for business applications.

Ethics & Governance

Explore ethical, legal and strategic implications of AI, including bias, privacy, trust and fairness.

Data & Databases

Analyze data and apply principles of database design, implementation and administration.

Data Integration

Assess data quality and combine multiple sources and formats for use in analytics models.

AI in Business

Create AI and analytics solutions for new and existing business processes.

Communication

Present complex information to different stakeholders through data-driven storytelling.

Model Evaluation

Compare the significance, reliability and usefulness of competing models and analytics methods.

Project Lifecycle

Understand the full data modelling lifecycle from scoping and development to maintenance and model drift.

What Our Students Are Saying


Emmanuel Rueda escalona
The most valuable aspect has been gaining a realistic and up-to-date understanding of AI and ML—what the technology truly is today, the many dimensions of the technological transformation it represents, and how organizations can take it to the next level. Emmanuel Rueda escalona MBAI Student


What stood out most was the quality of instruction and the way professors connected course concepts to real applications. I felt supported while building skills that are relevant to today’s job market. Anonymous MBAI Student


The program helped me connect technical skills with real-world business problems. Courses in analytics, visualization, programming, and AI gave me practical experience I can carry into my career. Anonymous MBAI Student

What are the full-time study requirements?
  • The standard length of this program is 16 months (4 semesters).
  • 2-3 courses per semester.
  • Experiential component - choose between Applied Integrative Analytics Project or Business Analytics Internship

What are the start dates for the program? 

 September (Fall) & January (Winter)

What is the delivery method?

 Delivered mainly in-person, with online components

What is the application process?

View application information and deadlines.

In addition to the general admission requirements for graduate studies, MBAI applicants must meet the following program-specific requirements:

  • While applicants may hold any four-year honours undergraduate degree (or its equivalent from a recognized institution), preference is given to applicants whose undergraduate degree is in the field of business, management, economics, Informatics or related fields.
  • Minimum overall academic standing of a B (GPA: 3.0 on a 4.3 scale or 73 to 76 per cent), with a minimum B average in the last two full-time years (four semesters) of undergraduate work or equivalent. Work experience or a strong GMAT can be used in lieu of the GPA requirement
  • Successful completion of at least one course in information systems and one course in advanced mathematics (e.g., linear algebra, calculus, statistics etc.)
  • For non-English degree of study, the IELTS test of 7.0 or TOEFL of 100 is required
  • A curriculum vitae (CV) including the applicant's education, employment, teaching and research experience, and publications (if any).

Is this a STEM program?

Yes, the Master of Business Analytics and Artificial Intelligence (MBAI) is a STEM program. The Classification of Instructional Programs (CIP) Canada for the program is 110102 – Artificial Intelligence.

Is there a part-time option?

A part-time option is available for domestic students.

  • Approximately 24 months
  • The option to choose between a comprehensive capstone project or internship.
  • Between 6-10 hours of group study/self-study per week. 
Organization Opportunity
AI-related master’s program

Vector Institute Recognition

The MBAI program has been recognized by the Vector Institute as an AI-related master’s program in Ontario. Students become part of the Vector Institute community and receive access to networking and career events, the Digital Talent Hub, professional development, and other opportunities to grow their AI career.

Students are also welcome to apply for the competitive Vector Scholarships in Artificial Intelligence, which provide $17,500 toward an AI-related master’s degree at an Ontario university.

Visit Vector Institute View AI-related programs Digital Talent Hub Vector Scholarships
Professional designation

Certified Analytics Professional (CAP)

Professional designations are available to graduates of the program and are a valuable addition to your resume. The Certified Analytics Professional designation is a leading certification for analytics practitioners and can help demonstrate your expertise to employers.

Learn about CAP certification
Professional certification

SAS Certification

SAS certifications are globally recognized and can help show employers that you have received in-depth training from industry experts.

Explore SAS certification
You can view all of our Graduate Faculty here!
Learn more about our tours and events.

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Courses

Courses

Tuition and Fees

Tuition and Fees

FAQ

FAQ

International Applicants

International Applicants