Rotman School of Management

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Master of Management Analytics

Become an expert in data-driven decision-making

The field of management analytics is evolving at a fast pace. For recent graduates looking to break into this exciting field, the Rotman School of Management introduces its Master of Management Analytics (MMA). The MMA is designed to give you the advanced data management, analytic, managerial and communication skills needed to become an analytical professional in just nine months.

Why Management Analytics?

Vast amounts of data are available to businesses of all sizes and industries. 

This data is powerful when it is interpreted and applied to solve business problems. 

People with these skills are highly sought by organizations, and these are exactly the skills you will learn in the Rotman MMA.

The Rotman MMA

When developing our program we consulted with analytic professionals in industry who identified the need for graduates who excel at the technical aspects required AND who possess business acumen. We have structured our program to produce such graduates: student become skilled in using analytical tools and techniques (Fall term) and then learn to apply this knowledge to managerial situations (Spring term).

The capstone project running throughout the program utilizes both skill-sets and applies them to a real-world business situation.

Who should consider the Program?

The program is aimed at those who:

  • are passionate about learning more about data and analytics
  • have a strong quantitative background and little/no work experience looking to uses analytics to improve business decisions
  • wish to develop their understanding of business strategy and objectives
  • would like to improve their communication and interactional skills to be able work with technical and non-technical colleagues alike

NOTE: No offer of admissions will be made to the program pending final approval of the Ministry of Advanced Education and Skills Development.

The Master in Management Analytics is a nine-month program which runs from August to April. The program is structured so that you initially focus on the tools and techniques before moving on to application of analytics to management situations.

Program structure and topics

Introduction - 4 weeks

  • Strategic use of analytics in key management functional areas
  • Models and Data and Business Decisions: what to look for in the data 

Analytical tools & techniques - 13 weeks

  • Structuring Data for Analytics: data preparation and visualization
  • Predictive Analytics for Business Decisions: proper use of “workhorse” analytical tools
  • Big Data Tools: segmentation, prediction engines, text analytics, and more
  • Analytics Colloquia I: current trends and analytical tools
  • Capstone Part I: understanding the business problem and data architecture

Managerial uses of analytics - 13 weeks

  • Decision Analysis and Spreadsheet Modeling: probabilistic, simulation and optimization
  • Analytics-based Customer Relationship and Value Management 
  • Optimizing marketing effectiveness through analytics: measurement, attribution and planning 
  • Analytics in Operations and Supply Chain Management
  • Analytics in Accounting and Corporate Finance
  • Analytics Colloquia II: current trends in managerial applications of analysis
  • Capstone Part II: implementation and effective managerial communication

Capstone project

The capstone project will run throughout the program. You will work in a team to solve a real management problem using data. 

The project will be split into two parts:

  1. Introduction to the managerial context and the issues related to understanding, obtaining, structuring and transforming data
  2. The multi-tool integrative analysis of the managerial problem and effective communication of the results to a business panel

Tools

A strong software toolkit is essential for an analytics professional. Given the constantly changing software landscape in the analytics space, versatility and ability to switch between tools, as well as acquire new ones is an essential skill. You will be exposed repeatedly to a wide range of tools which will help you feel comfortable learning new software that will be developed in the future.

During the program you will use the following tools in at least two courses helping you to become proficient on graduation:

  • SQL
  • R
  • Python
  • SAS
  • Tableau
  • MS Excel
  • @Risk

Colloquium

A series of mini-courses throughout the program expose you to current trends and topical issues. These will include topics such as Hadoop, Spark, deep learning, data governance and security and analytics for fraud detection. Effective business communication workshops will also be included in the colloquium.

Professional Certification

As analytics matures as a profession, gaining professional certification is becoming increasingly more important. While obtaining professional certification is not a program requirement, the students will be supported and encouraged to write professional certification exams for organizations such as SAS and INFORMS.

Admission Requirements

What We Are Looking For

The Master of Management Analytics is a practical degree designed for quantitatively strong students who have recently completed undergraduate studies. When reviewing applications we are looking for: 

  • Strong Quantitative Skills
  • Computational Proficiency
  • Communication Skills
  • Passion for Analytics

Evaluation Criteria

Undergraduate degree:

Four-year degree in a relevant degree such as, but not limited to, Computer Science, Statistics, Mathematics, Engineering, Physical Science, Economics or Commerce. 

Minimum 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. 

If you studied outside of Canada, consult the School of Graduate Studies’ site for GPA Conversion

Quantitative proficiency:

Evidence of a high level of proficiency (a GPA of at least 3.0) in quantitative subjects such as Calculus, Linear Algebra, and Statistics or Econometrics is required. 

Computational proficiency:

Demonstrated proficiency in computer programing. 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.

English language proficiency: 

Applicants must demonstrate the ability to communicate in English in one of the following ways: 
a) An undergraduate or graduate degree from a university at which the language of instruction and examination was English 
b) Satisfactory performance on a standardized English Language Test. Minimum TOEFL score of 100 is required. IELTS may be considered in special circumstances and a minimum score of 7.0 will be required.

If you have studied at an English-language university outside of Canada, official confirmation of English as the language of instruction and examination from your university will be required.

Two academic references:

Two recommendation forms must be completed online by your referees. Both references should be academic, and we encourage you to have at least one reference from a professor who has taught you in a quantitative course.

Online Application (includes written and video essays)

The application fee is CAD $175 and application will be open from Fall 2017.

Interview (by invitation)

How to Apply & Application Deadlines

Register your interest in the Master of Management Analytics. The application will be open from Fall 2017. In the meantime, prepare for your application by reviewing the evaluation criteria above, attending events and connecting with the admissions team to learn more. 

Application Deadlines:

  • First Round Application Deadline: November 28, 2017
  • Second Round Application Deadline: February 15, 2018

 

Tuition Fee

NOTE: No offer of admissions will be made to the program pending final approval of the Ministry of Advanced Education and Skills Development.

Domestic Tuition: $46,000

  • The 2018-19 domestic fee is preliminary for planning purposes.  The fee is subject to the Governing Council’s review and approval in spring 2018.
  • Domestic tuition fee rates for new programs are also subject to Ministry review and approval.

International Tuition: $63,000

 

Contact Details

If you have any questions related to the Master of Management Analytics program at the Rotman School of Management please contact us.

Fiona Duley
Assistant Director, Recruitment & Admissions
Master of Management Analytics

E-mail: MMA@rotman.utoronto.ca

Tel: 416.978.7720

 

The faculty of the Rotman School is the largest of any Canadian business school and is ranked third in the world for business research by the Financial Times in 2017. Our professors include both renowned scholars and seasoned field practitioners. The balance of academic rigour and real-world insights pays dividends for our students, who are able to maximize their time in the program while getting a robust introduction to the exciting career opportunities that await them after graduation.

The curriculum of the MMA program is designed in partnership with industry in order to meet needs of this fast-evolving industry.

Master of Management Analytics - Prominent Academics + You + Seasoned Industry Professionals

Rotman Faculty

Faculty teaching in the program include:

Dmitry Krass
Professor of Operations Management and Statistics

PhD, John Hopkins University
MSE, John Hopkins University
BSc, University of Chicago

His research and teaching interests include logistics, environmental modeling, and predictive/ prescriptive analytics using big data and other tools in business decision-making.

Joseph Milner
Professor of Operations Management

PhD, Massachusetts Institute of Technology (MIT)
MS, Massachusetts Institute of Technology (MIT)
BS, Cornell University

His publications appear in Operations Research, Management Science, Manufacturing & Service Operations Management, and Production and Operations Management, and serves on their editorial boards.

Nitin Mehta
Associate Professor of Marketing  

PhD in Marketing, Carnegie Mellon University
MS in Chem. Eng., Yale University
MSIA, Carnegie Mellon University
BTech in Chem. Eng., Indian Institute of Technology, Delhi

His research focuses on structural models on consumer search behaviour; structural models on cross-category choices; structural models on memory, learning and forgetting; and structural models on product line design.

David Soberman
Canadian National Chair in Strategic Marketing and Professor of Marketing
PhD, University of Toronto 
MBA, Queen's University 
BSc, Queen's University

Formerly at INSEAD, David has held a number of positions in marketing management, sales, and engineering with Molson Breweries, Nabisco Brands and Imperial Oil.

An Intellectual Hub

Close ties between the Rotman School and the local business community provide you with a key advantage when it comes to in-person networking. The program includes colloquium sessions focused on real-world business challenges, developed in collaboration with industry practitioners. You are also exposed to experts working in the field through class visits, case competitions and speaker series.

In addition, each year, Rotman hosts over 100 public talks by international bestselling authors, top management executives and other influential thought leaders. The real-world perspectives, leadership styles and personal philosophies shared by executives have an extraordinary impact on students.

Events like the Big Data Experts Speaker Series offer you an opportunity to learn about the latest developments in the industry, and meet other professionals and executives in the field. Past speakers at Rotman include:

  • Ann Cavoukian, information and privacy commissioner of Ontario
  • Adam Lashinsky, New York Times-Bestselling Author of Wild Ride: Inside Uber's Quest for World Domination
  • Steve Lohr, technology reporter for The New York Times and author of Data-Ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything
  • Nandan Nilekani, former CEO, president and managing director at Infosys and chairman of the Unique Identification Authority of India
  • Beth Noveck, professor of global networks, New York University and former chief technology officer for the White House
  • Galit Shmueli, director of the Center for Service Innovation & Analytics at National Tsing Hua University in Taiwan

In a competitive job market, it takes more than just an analytic mindset to stand out. There’s a growing market need for strong analysts who understand business objectives and strategy, and can communicate with colleagues from a range of different business functions.

The program will help you master both the analytic and strategic strengths you need to become a data-driven decision maker, while giving you the presentation and communication skills you need to make an impact in the workplace.

Career Support

We judge our success on your success; we will support you to help you achieve your career goals.

At Rotman, you will gain access to a suite of career services and a lifelong toolkit designed to be prepare you for the workplace. The dedicated Career Services team for the Master of Management Analytics program will provide support through: 

  • Individual Career Counselling
  • Professional Development Workshops
  • Online Career Resources

Career Opportunities

Once you graduate, you’ll find a wide range of career opportunities available. High-level analytical skills are in high demand in a wide spectrum of managerial disciplines, including strategic consulting, finance, health care, life sciences, government, retail, marketing, web analytics, telecommunications and banking.

Typical job titles for those working in the field include:

  • Analytical Consultant
  • Associate, Process and Data Assurance
  • Consultant, Optimization & Integration
  • Digital Business Integration (Big Data) Manager
  • Director, Digital Insights
  • Director, Marketing Analytics & Insights
  • Manager, Business Intelligence
  • Manager, Data Governance
  • Manager, Financial & Metrics Modelling and Analytics
  • Project Analyst
  • Researcher, Data Analytics
  • Retail E-Commerce Coordinator
  • Senior Consultant, Retail Analytics
  • Senior Forecasting Analytics Consultant
  • SEO and Analytics Strategist
  • Solution Developer - Big Data
  • Specialist, Data Usability Services

Rotman boasts one of the most international student bodies of any leading business school. Rotman is located on the central University of Toronto campus in downtown Toronto, Canada’s financial and commercial centre, at the heart of one of the world’s most multicultural cities. Ranked #1 in Canada by the Financial Times, the Rotman School is the perfect place to launch your career on the global stage.

Rotman: Your new career starts here

Reputation: Rotman is part of the University of Toronto, Canada’s top ranked university and the only Canadian school in the global top 30.

Location: Get a full-campus experience in downtown Toronto at the historic St. George campus of the University of Toronto, a short distance to the city's commercial centre. Toronto is the 2nd largest financial centre in North America.

Student services: Moving to a new country is a complex process with many steps. To help with the transition, Rotman offers a range of services designed for students from outside Canada. We make it easy for you to adapt to the local language and culture, and to get you ready for the academic challenges of the MMA program.

We Are Rotman

What can Canada's #1 Business School do for you?

Contact us to learn more

To meet one-on-one with our admissions team or if you have questions, we invite you to contact us:

Fiona Duley
Assistant Director, Recruitment & Admissions
Master of Management Analytics

Mail MMA@rotman.utoronto.ca

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Even if you aren’t yet ready to apply, create your online profile with us so you can stay informed and easily register for our upcoming admissions events.

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