The Master of Management Analytics (MMA) is a specialized 11-month program at the University of Toronto's Rotman School of Management, designed to equip students with advanced skills in AI, machine learning, and predictive analytics. This program focuses on translating large datasets into actionable business insights and strategies. It is ideal for individuals with quantitative backgrounds seeking to enhance their analytical and communication abilities to lead in a data-driven world. The curriculum integrates theoretical knowledge with practical application, culminating in a four-month practicum experience. This hands-on component allows students to apply their newly acquired skills to real-world business challenges, providing valuable industry experience. The program aims to prepare graduates for impactful roles in various industries by developing their problem-solving capabilities and strategic thinking.
The Master of Management Analytics program is designed to ignite your career by equipping you with the skills to tackle complex business problems and lead in a competitive marketplace. Graduates are prepared for roles that leverage data analytics, AI, and machine learning to drive business strategy and innovation.
Admission is competitive. Applicants are evaluated based on academic achievement, work experience, and leadership potential.
Information regarding specific tuition amounts and living costs for international students can typically be found on the University of Toronto's official website or by contacting the admissions office.
The Rotman MMA is recognized by the Vector Institute for delivering a curriculum that equips graduates with the skills and competencies industry needs in AI and machine learning.
The program consists of 11 months of study followed by a 4-month practicum, for a total duration of 15 months.
Graduates are prepared for roles such as Data Scientist, Business Analyst, Analytics Manager, and Machine Learning Engineer, leveraging data analytics, AI, and machine learning to drive business strategy.
A strong undergraduate degree with a quantitative background is required. Admission is competitive and evaluated based on academic achievement, work experience, and leadership potential.
Information regarding specific tuition amounts and living costs for international students can typically be found on the University of Toronto's official website or by contacting the admissions office.
The program is delivered in-person and full-time. Specific language of instruction is not detailed but is typically English for programs at the University of Toronto.
Applications are currently closed for the upcoming intake. Dates for the next application cycle will be announced on the university's website.