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Class Profile

MMAI Class of 2019

Class Size
Average Age
Range: 22-59
Average Years of
Work Experience
Average Years of
Management Experience

Be Part of the Next Class

Types of Roles
  • Director, Product Manager of AI
  • Artificial Intelligence Manager/Architect
  • Senior Project Manager of AI
  • AI and Cognitive Leader
  • Director/Manager of AI Innovation
  • Manager/Director of Data Science and Analytics
  • Solution Head, Artificial Intelligence and Analytics
  • Head of Artificial Intelligence
  • AI and Machine learning (AIM) Program Manager
  • Senior Data Scientist/Senior AI specialist

Employment Background

Top Employers
Scotiabank logoIBM logoTD logoOmnia AI logoLoyaltyOne logoRBCBMO logo

Domestic / International

  • Canada
  • China
  • India
  • Japan
  • Mexico
  • Nigeria
  • Pakistan
  • Venezuela
Advait Bopardikar

“As an alum of the Smith Commerce program, I was aware of the quality of education to expect from Smith’s MMAI program. When the program first launched, Smith was the only institution that offered both a technical and business-oriented program in AI, which further highlighted why Smith is a leader in business education. The MMAI program consists of a diverse group of students, allows you to broaden your skill set and gave me both a broader business perspective as well as a deeper technical knowledge to expand my company’s offerings and team structure. By far the most memorable experience was the opportunity to work on real problems for real companies. In our AI Strategy class, we presented to executives from the NFL about what we think the league should do when it comes to their Data & AI strategy.”

Advait Bopardikar, MMAI’19 / Managing Consultant, Watson & AI, IBM

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