Program Overview

Three students.

The MBAN program is recognized as one of North America’s leading graduate programs in analytics,
offering unparalleled value for professionals aspiring to excel in the dynamic and rapidly growing
field of AI for business. A distinguishing feature of the program is its dual credential, which includes a
Graduate Diploma in Health Data Analytics (GDHDA) at no additional cost.

This comprehensive 42-credit-hour program is designed for efficiency and impact, allowing students
to complete their studies in just 16 months of full-time study (4 semesters). The curriculum includes:

  • 10 core courses to build a strong foundation in analytics and AI,
  • 5 elective courses to tailor the program to specific interests or career goals, and
  • 1 of 3 experiential learning pathways: Consulting, Research, or a paid Internship, providing practical, hands-on experience to bridge academic learning with real-world application. 

Download our Sobey School of Business MBAN Brochure 2025 .

Required courses include

  • Foundations of Professional Analytics
  • Fundamentals of Programming and Database Management
  • Ethics and Governance in Analytics
  • Statistics and Predictive Modeling
  • Prescriptive Analytics and Optimization
  • Enterprise Data Management and Strategy\
  • Machine Learning and Artificial Intelligence
  • Financial and Accounting Analytics
  • Visualization and Data Mining
  • Analytics in Action
  • Marketing Analytics (elective)
  • Business Consulting (elective)
  • People Analytics and Leadership (elective)
  • Operations and Supply Chain Analytics (elective)
  • Healthcare Data Analytics (elective)

Detailed Curriculum 

Internship Project (IP)

This experiential learning pathway will provide students with an opportunity to apply concepts and theories learned during the program in an organizational setting over four months. Students are assigned individually or in teams to a business or a not-for-profit organization to apply their knowledge and skills to real-world data and realize analytics projects under the co-supervision of a SMU faculty member and a qualified mentor at the partner organization.

Consulting Project (CP)

This experiential learning pathway will provide students with an opportunity to apply concepts and theories learned during the program while working as an in-house/in-residence consultant over four months. Students are assigned individually or in teams to a client of the University’s Entrepreneurship Centre and/or other centers to complete a consultancy project under the co-supervision of a SMU faculty member and a qualified mentor at the partner organization.

Research Project (RP)

This experiential learning pathway will provide students with an opportunity to apply concepts and theories learned during the program and acquire research skills and experience while working as a data analytics researcher over four months. Students are assigned individually or in teams to a research project under the supervision of a research-active SMU faculty member. Interdisciplinary projects are particularly encouraged.

Start your application now