Simulate, model, and optimize
Learn the high-level analytical skills that are in high demand in a wide spectrum of managerial disciplines, including marketing, strategic consulting, finance, health care 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.
By “analytics”, we mean quantitative analysis going beyond simple Excel spreadsheets. The tools employed may involve statistical/data mining techniques, simulation models, optimization models, and more. 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.
"Our MBA program is at the forefront of education, integrating model-based problem solving, innovation, and leadership."
- Tiff Macklem, Dean, Rotman School of Management
Requirements to Complete the Major
The key techniques underlying effective spreadsheet modeling for decision support, including optimization and simulation models are developed along with applications of these techniques drawn from a variety of functional areas in The Art of Modeling with Spreadsheets. 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. The rich variety of approaches to time-series modeling and forecasting are the subject of Forecasting Models & Econometric Methods. Finally, the uses of “big data” in marketing is covered in Data Driven Marketing.
You must successfully complete 4 courses from the following list, including at least 1 course from the “core” list and at least 1 course from the “elective” list.
Core Courses (Choose between 1 and 3 courses):
- The Art of Modeling with Spreadsheets
- Predictive Analytics for Effective Business Decisions
- Information-Based Strategy: New Patterns of Profit and Power
- Marketing Research
- Forecasting Models & Econometric Methods
A range of more specialized applications of analytics to specific managerial problems, ranging from pricing to sports analytics are covered in the elective courses.
Elective Courses (choose between 1 and 3 courses):
- Sports Analytics and Economics
- Experiential Marketing Management
- Game Theory and Applications for Management
- Competitive Strategic Analysis
- Analytics in Action
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 increase (one recent study estimated that the North American economy will add 40,000 new jobs in the area of business analytics in 2015, while the number of trained analytics professionals available during the same period is will be around 15,000).
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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