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Data Analytics and Modeling

Simulate, model, and optimize

Master the analytical skills that are in high demand across every managerial discipline: marketing, strategic consulting, finance, healthcare and many others.


The twin forces of exponential increases in data availability and computational power are making advanced quantitative analysis more accessible than ever before. As a result, analytics support for managerial decisions is now the expectation, rather than the exception in many industries. 

Topics covered 

The core courses in the Data Analytics and Modeling emphasis will develop your understanding of data analytics and modeling techniques, as well as applying these techniques in effective analytics support for managerial decisions, thorough understanding of the managerial issues involved, identification of the relevant data sources and analytical techniques, understanding of how to set up and perform the required analysis and then communicating the business implications of the findings to the managerial team.

"Our MBA program is at the forefront of education, integrating model-based problem solving, innovation, and leadership."

- Tiff Macklem, former Dean, Rotman School of Management

The key techniques underlying effective analytic modeling for decision support, including optimization and simulation models are developed in Analytics for Decision-Making, with applications of these techniques drawn from a variety of functional areas. The key aspects of predictive analytics modeling, including data modeling and transformation, classical data analysis techniques such as Regression and Logistics Regression, as well as a variety of Machine Learning techniques, are covered in the core courses. A range of more specialized applications of analytics to specific managerial problems, ranging from pricing to sports analytics are covered in the elective courses.  

Requirements to complete the emphasis in Data Analytics and Modeling 

Complete five half courses (2.5 FCEs) with at least two half courses (1.0 FCE) from the list of main courses. See the Registrar's Office for more detailed information. 


  • Forecasting Models and Econometric Methods
  • Data and Information Management
  • Modeling and Optimization for Decision Making
  • Management Analytics
  • Marketing Research


  • Game Theory and Applications for Management
  • Financial Statement Analysis
  • Analytical Insight from Financial Accounting Data
  • Risk Modeling and Financial Trading Strategies*
  • Supply Chain Management
  • Pricing
  • Digital Marketing

For detailed information on each elective course, please see our MBA electives guide

Career Paths for Analytics Management

High-level analytical skills are in high demand in a wide spectrum of managerial disciplines, including marketing, strategic consulting, finance, health care and many others. Moreover, this high level of demand for business analytics talent is projected to continue to increase, far outstripping the available supply of graduates trained in this area.

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