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  4. Rotman School of Management: Master of Management Analytics

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Rotman School of Management: Master of Management Analytics

MBA School Profile

Program Information

Program Type: Analytics & Data Science, Business Analytics

Tuition: Domestic student: $41,400 CAD, International Student: $64,580 CAD

Program Length: 9 months

Program Start: August

Delivery Method: On-Campus

Contact Information:

Email

+1 416-978-7720

MMA Admissions
105 St. George Street
Toronto ON M5S 3E6

The profile was last updated on December 28, 2022. If you have any questions, please contact Georgina Hannah.

About the Program

The Rotman Master of Management Analytics aims to give students the advanced data management, analytic, managerial and communication skills needed to become an analytical professional in only nine months.

The program was developed in consultation with analytic professionals in the industry who identified the need for graduates who excel at the technical aspects of analytics and who possess business acumen. Students can expect to become skilled in using analytical tools and techniques (Fall term) and then learn to apply the  knowledge to managerial situations (Spring term).

Program Format and Schedule

The program starts with a four-week introduction term to analytics in management, and data-based management decisions. Bootcamps will cover tools such as SAS/SQL, R, Python.

During the second, 13-week Fall term the focus is on the analytical tools and techniques that are fundamental to a career in the field. The final 13-week Spring term will consider the application of analytics to solve management problems across different business areas.

A key component of the program is the Management Analytics Practicum where teams of two/three students tackle a real management problem set by one of the organizations we work with at Rotman. The practicum will start after the introductory term and will allow students to apply their learning in the classroom to real-world situations.

Courses include:

  • Structuring and Visualizing Data for Analytics
  • Modeling Tools for Predictive Analytics
  • Big Data Analytics
  • Tools for Probabilistic Models and Prescriptive Analytics
  • Improving Customer Value with Analytics
  • Analytics for Marketing Strategy
  • Analytic Insights Using Accounting and Financial Data
  • Optimizing Supply Chain Management and Logistics

Short-course topics (2018/19 class) include:

  • Ethical and Legal Issues in AI
  • The Basics of API Usage and Design
  • Hadoop for Data Analytics
  • Text Analytics and Semantic Analysis
  • Neural Network: Topology and Tuning
  • Deep Learning

Note: courses and short courses subject to change.

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