Master of Management Analytics - St. George

Management analytics involves developing a precise understanding of the factors influencing managerial decisions, and designing data and analytical solutions to support these decisions. It encompasses the multiple skills needed to extract insights from real-world business data, including:Acquiring a deep understanding of the managerial problem, Identifying the data sources and create analytical data sets, Designing, validating, and implementing analytical solutions, Communicating your results effectively, During the program, the Management Analytics practicum will provide students with an opportunity to gain in-depth experience through a real-life managerial problem.A Master of Financial Risk Management from Rotman gives you a combination of deep subject matter expertise and technical skill to launch your career in finance. This program is accelerated, connected, and supportive. We provide career services and experiential learning through the Risk Management Project with a real organization, connecting you with current risk managers and potential employers.

Appropriate four-year undergraduate degree or equivalent:Four-year degree in a relevant degree such as, but not limited to, Computer Science, Statistics, Mathematics, Engineering, Physical Science, Economics or Commerce. Minimum mid-B average (3.0 on the U of T Scale) is required across courses in the final year. It is expected that the GPA of those admitted into the program will be higher than the minimum.Evidence of a high level of proficiency (a minimum B average) in quantitative courses that cover subjects is required. Mastery of mathematics including, at a minimum, calculus and linear algebra, is essential, as are courses covering probability and statistics. In cases where evidence of quantitative proficiency is not obvious, applicants must provide supplemental evidence.Demonstrated proficiency in computer programming. This may be demonstrated through a minimum B average in one or more courses in computer science or in courses relying extensively on computer programming. In cases where evidence of computational proficiency is not obvious, applicants must provide supplemental evidence.When we review MMA applications, we screen for knowledge of statistics and computer science. Before the program begins in August, admitted students must demonstrate their understanding of the following four areas: Foundations of Finance; Financial Accounting; Statistics; Python. Two academic references: Demonstration of academic ability though high GMAT/GRE score is encouraged. Satisfactory performance on a standardized English Language Test.