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Areas of Specialization

MSc in Analytics

Students in this specialization first develop a grounding in data science, machine learning, operations research and solving prescriptive analytics programs, followed by the opportunity to focus on applications in the areas of revenue management, operations and supply-chain management. Graduates of this specialization are well prepared to pursue PhD studies as well as research-based careers in consulting, financial services or logistics.

Is this Specialization for you?

Discover how this program aligns with your academic or research oriented career goals. Request a virtual one-on-one meeting with a member of our program team.

Recommended Undergraduate Degrees

  • Bioinformatics
  • Business or Commerce
  • Computer Science
  • Data Science
  • Economics
  • Engineering
  • Math or Stats
  • Physics
  • Other degrees on a case-by-case basis

Program Structure and Content

This is a 12-month program beginning in September. Each student is required to complete the following courses and a research project of publishable quality. Course work completion consists of the following:

Course Credits
Deterministic Operations Research Models (MGMT 860) 3
Probabilistic Operations Research Models (MGMT 861) 3
Applied Statistics and Econometrics (MGMT 988) or elective 3
Advanced Topics in Analytics (MGMT 964) / Analysis of Supply Chains (MGMT 965)
(Offered alternate years, one of the two is required)
Big Data Analytics (MGMT 962) / Machine Learning and Artificial Intelligence (MGMT 963)
(Offered alternate years, one of the two is required)
Econometric Methods (MGMT 890) or elective 3

Major Research Project (MGMT 898)


*Students must select MGMT 988 or MGMT 990