Overview

The Management Analytics programme at the University of Toronto provides a comprehensive foundation in data-driven decision-making and strategic business solutions. This intensive course equips students with the technical expertise and managerial skills necessary to translate complex information into actionable change within modern organisations. Students benefit from a curriculum that balances theoretical knowledge with practical applications in artificial intelligence and machine learning.

Why Management Analytics at the University of Toronto?

Studying at the Rotman School of Management places students in the heart of Toronto, the financial capital of Canada. The programme is ranked as the top business analytics master's in the country, offering an incomparable network of global alumni and industry experts. Students gain access to world-class facilities, including the Management Data and Analytics Lab and the Self-Development Lab, which focuses on interpersonal communication and leadership. Furthermore, the degree is recognised by the Vector Institute for its excellence in preparing graduates for the artificial intelligence ecosystem.

Tuition Fee Breakdown

International fee: CAD 78550 per year
National fee: CAD 41400 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to move from foundational bootcamps to advanced managerial applications, concluding with a significant industry project. Modules may include:

Analytics in Management
Modeling Tools for Predictive Analytics
Machine Learning Analytics
Structuring and Visualizing Data for Analytics
AI and Deep Learning Tools
Applications of Large Language Models
Analytics for Marketing Strategy
Service Analytics for Management Analysis
Healthcare Analytics

Careers with Management Analytics

Graduates from this programme are highly sought after, with a significant majority securing employment within six months of finishing their studies. The curriculum prepares students for diverse roles across various sectors, including finance, technology, and consulting. Common career paths include positions such as Data Scientist, Analytical Lead, Machine Learning Engineer, and Business Intelligence Analyst. Alumni have successfully joined leading global organisations such as Google, Deloitte, RBC, and TD Bank, often returning to the university to support the professional development of new cohorts.

Accreditation

The Rotman MMA is an AI-related master's program recognized by the Vector Institute as delivering a curriculum that equips its graduates with the skills and competencies sought by industry.

Programme Structure

Courses include:

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

Improving Customer Value with Analytics to Leveraging AI and Deep Learning Tools in Marketing

Analytics for Marketing Strategy

Analytic Insights using Accounting and Financial Data

Optimizing Supply Chain Management and Logistics
Service Analytics for Management Analysis

Key information

Duration

Full-time
- 11 months

Start dates & application deadlines

Starting 2027-09-02 00:00:00
- Apply before 2027-04-15 00:00:00 , National
- Apply before 2027-01-21 00:00:00 , International

Language

English

TOEFL^® IBT

100

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Credits

30 alternative credits

Delivered

On Campus

Campus Location

Toronto, Canada

Disciplines

Management Studies Data Analytics View 31 other Masters in Data Analytics in Canada

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni

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Academic requirements

GPA

GRE^®

Required

English requirements

TOEFL^® IBT

100

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IELTS

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Other requirements

General requirements

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.
GPA’s are be calculated on the first undergraduate degree. If you have taken additional courses past graduation, or graduate studies those will be considered overall for your application but will not be used for your GPA calculation.
Demonstration of academic ability though high GMAT/GRE score is encouraged.

Work experience

No work experience is required for this program.

Technological requirements

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.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

78550 CAD / year

≈ 78550 CAD / year
Domestic Applies to you

Applies to you

Citizens or residents

41400 CAD / year

≈ 41400 CAD / year

Additional Details

Please visit our website for the most up-to-date fees and funding information.

Living costs

Toronto

Canada

1502 - 2563 CAD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

The Rotman School strives to recruit the best candidates to its programs, and is committed to helping you afford your education. Please visit our website for a list of our current funding opportunities.

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Scholarships Information

Below you will find Master's scholarship opportunities for Management Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Accreditation

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying Computer Science & IT

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Work experience

Technological requirements

Student Insurance via Studyportals Partner

Tuition Fees

International Applies to you

Domestic Applies to you

Additional Details

Living costs

Toronto

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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