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. Here, by “analytics” we mean quantitative analysis going beyond simple Excel spreadsheets.
Effective analytics support for managerial decisions entails 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. The core courses in the Management Analytics major will expose the students to a variety of key analytical techniques, as well as to managerial issues these techniques can be effectively applied to.
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 Data Mining/Machine Learning techniques, are covered in Predictive Analytics for Effective Business Decisions. A range of more specialized applications of analytics to specific managerial problems, ranging from pricing to sports analytics are covered in the elective courses. Courses in the new Master of Management Analytics provide in-depth coverage of many of these topics but require strong coding skills as a prerequisite; for course descriptions visit the MMA area on our website.
Please note that special permission is required to take MMA courses.
"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
Requirements to Complete
You must successfully complete 4 courses from the following list, including at least 2 courses from the “Core” list and at least 1 course from the “Elective” list. Please note that the list of elective courses may be incomplete, as new analytics-rich courses are being introduced all the time. If you feel a particular non-listed course has high analytic content and should be counted towards satisfying the emphasis requirement, please email the course details to Coordinator.
- Data and Information Management for Business Analytics
- Modelling and Optimization for Decision Making
- Management Analytics
- Machine Learning and Financial Innovation
- Forecasting Models & Econometric Methods
- Any Fall term course in the MMA program
- Game Theory and Applications to Management
- Real Estate Investment
- Financial Statement Analysis
- Analytics Insight from Financial Accounting Data
- Business Analysis and Valuation
- Risk Modelling and Financial Trading Strategies
- Supply Chain Management
- Service Operations Management
- Marketing Research
- Fintech Marketing: Innovation in the Marketing of Financial Services
- One to One Marketing
- Digital Marketing
- Marketing and Behavioral Economics
- Socially Intelligent Manager
- Introduction to Data Science and Analytics
- Most courses in the MMA program (fall or spring terms)
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.
Flexible Internship Program
The Rotman Full-Time MBA Program provides a unique opportunity for students to integrate and apply management knowledge gained within the program through a 4-month internship. Students are required to complete the course “Applied Management: Placement” in conjunction with a work placement which may be done in the Summer, Fall or Winter terms. Depending on their academic area of concentration/major and career objectives, students will be guided on the best work term option to secure a placement with an employer. Throughout their work placement, students will benefit from enhanced communication with their host employers, tracking of project deliverables and feedback from faculty supervisors.
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