Management Analytics

Program Overview

The Rotman Master of Management Analytics is a 15-month program that includes 11 months of study and a four-month practicum experience. Learn the latest in AI, machine learning and predictive analytics and discover how to harness their power to shape business strategy.

The program provides a diverse approach to developing
your capacity in management analytics and will make you an
ideal candidate across many industries like financial services,
consulting, retail, healthcare and more. You’ll develop a precise understanding of the factors influencing managerial decisions and learn how to design data and analytical solutions to support them.


Quick Facts

Domestic International
Application deadline MMA:

Fall 2026 Entry

Round 1 – October 15, 2025
Round 2 – January 21, 2026
Round 3 – April 15, 2026

MMA:

Fall 2026 Entry

Round 1 – October 15, 2025
Round 2 – January 21, 2026

Minimum admission average MMA:

A minimum B average in the final year of a bachelor’s degree from a recognized university.

MMA:

A minimum B average in the final year of a bachelor’s degree from a recognized university.

Program length (full-time only) MMA:

11 months + 4 months of practicum, starting in August.

MMA:

11 months + 4 months of practicum, starting in August.

Are any standardized tests required/recommended? MMA:

Evidence of a high level of proficiency (a minimum B average) in each of the quantitative courses that cover subjects such as statistics, calculus, linear algebra, and econometrics is required.

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.

MMA:

GMAT/GRE (recommended); IELTS/TOEFL (if required)

Evidence of a high level of proficiency (a minimum B average) in each of the quantitative courses that cover subjects such as statistics, calculus, linear algebra, and econometrics is required.

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.