University of Toronto

Overview

The Master of Management Analytics (MMA) at the University of Toronto is an intensive, full-time graduate program focused on harnessing the power of AI and data to inform business decisions. Over the course of your studies, you will develop practical skills in predictive modeling, machine learning, and analytics applications, culminating in a supervised industry practicum that allows you to apply your knowledge in real-world scenarios.

What you'll study

The MMA curriculum spans foundational topics in analytics and data-driven decision-making, advancing to complex machine learning and AI applications. The program concludes with an applied practicum where you will engage with a practical business problem.

Core coursework

• Analytics in Management
• Data-based Management Decisions
• Structuring and Visualizing Data for Analytics
• Modeling Tools for Predictive Analytics
• Machine Learning Analytics
• Tools for Probabilistic Models and Prescriptive Analytics
• Analytics for Marketing Strategy
• Improving Customer Value with Analytics
• Analytic Insights using Accounting and Financial Data
• Optimizing Supply Chain Management and Logistics
• Service Analytics for Management Analysis
• Healthcare Analytics

Applied practicum

The program includes a 4-month supervised practicum, enabling students to apply analytical methods to real business challenges while showcasing their ability to frame problems, conduct analyses, and communicate results effectively.

Entry requirements

Academic background

• A four-year degree in a relevant discipline such as Computer Science, Statistics, Mathematics, Engineering, Physical Science, Economics, or Commerce.
• A minimum mid-B average in your final year of study, with successful applicants typically demonstrating higher grades.
• Your GPA will be calculated based on your first undergraduate degree, though additional academic credentials may be considered for the overall application.

Quantitative/technical preparation

• Proficiency in computer programming is required, typically demonstrated by achieving a minimum B average in relevant courses.
• If your programming skills are not clearly evident, you may be asked to provide additional documentation.

Standardised tests

• GRE scores are required, with strong scores encouraged.
• English language proficiency must be demonstrated through TOEFL iBT or IELTS scores.

English language scores

• TOEFL iBT: Minimum score of 100
• IELTS: Minimum score of 7.0

Work experience

• No prior work experience is necessary for application.

Documents

• Official academic transcripts
• English language test scores (TOEFL iBT or IELTS)
• GRE scores (if applicable)
• Supplemental evidence of programming proficiency (if required)

Career prospects

Graduates of the MMA program are well-equipped to pursue careers in various industries, leveraging their analytics expertise to drive business insights and strategic decisions. The combination of practical experience and advanced analytical skills positions them favorably in the job market.