Rotman School of Management - University of Toronto

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Management Analytics

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Program Information

School:Rotman School of Management - University of Toronto
Faculty:Joseph L. Rotman School of Management
Degree:Master
Field of Study:Business Statistics
Information Resources Management/CIO Training
Management Information Systems and Services, Other
Management Information Systems, General
Management Science, General
Management Sciences and Quantitative Methods, Other
Description:

The world of data-driven decision-making is moving fast – and with our Master of Management Analytics, you can help to lead and drive change. If you're a recent graduate looking to be part of this exciting field, our innovative program will give you the advanced data management and communications skills you need.



Master the skills needed to succeed in the field of management analytics with our full-time program.



Management analytics involves developing a precise understanding of the factors influencing managerial decisions, and designing data and analytical solutions to support these decisions.



It encompasses the multiple skills needed to extract insights from real-world business data, including:



  • Acquiring a deep understanding of the managerial problem
  • Identifying the data sources and create analytical data sets
  • Designing, validating and implementing analytical solutions
  • Communicating your results effectively


During the program, the Management Analytics Practicum provides an opportunity to gain in-depth experience in each of these stages through exposure to a real-life managerial problem. The practicum runs throughout the MMA program, with certain periods during the program dedicated to an intensive focus on the particular problem. The courses are structured so that you initially focus on the tools and techniques before moving on to the application of analytics to management situations.



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.



Courses include:



  • AI and Deep Learning Techniques with Applications to Marketing
  • Analytic Insights Using Accounting and Financial Data
  • Analytics for Marketing Strategy
  • Analytics in Management
  • Big Data Analytics
  • Data-based Management Decisions
  • Modeling Tools and Predictive Analytics
  • Optimizing Supply Chain Management and Logistics
  • Practicum
  • Structuring and Visualizing Data for Analytics
  • Tools for Probabilistic Models and Prescriptive Analytics


Colloquium have included topics such as:



  • Analytics for Fraud Detection and Money Laundering
  • Ethical and Legal Issues in AI
  • Hadoop for Data Science
  • Probabilistic and Bayesian Networks
  • Social Networks Representation
  • The Basics of API Usage and Design
  • Understanding Customer Relationship Management (CRM)
URL:Management Analytics at Rotman School of Management - University of Toronto
Length:9 Month(s)
Cost per year:*
National: $41,400
International: $67,160
Enrolment #:32
Careers:Market Research Analysts

Admission Requirements

Grade for Entrance Previous Year (%)*75 to 100
Prerequisites:*

These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.

    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 mid-B average (3.0 on the U of T Scale) is required across courses in the final year.

    Quantitative proficiency

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

    Computational proficiency

    Demonstrated proficiency in computer programming. This may be demonstrated through academic history, projects, work experience or extra-curricular activities.

    English language proficiency

    One of the following:

    • Undergraduate or graduate degree from a recognized English language university.
    • TOEFL iBT or IELTS (visit our website for details or required scores).

    Two academic references

    Online application (includes one written essay, two video questions and one real-time written response)

    Admission interviews

    All candidates who are admitted to the program will be interviewed. Interviews are by invitation only.

    Test Scores:
    • Test of English as a Foreign Language (Internet Based) [min. 100] or International English Language Testing System (academic or immigration) [min. 7]
    Additional Admission Requirements:
    • Letter(s) of Reference
    • Statement of Research Interests
    • Work Experience

    * The entrance grade may change from year to year. Please contact the school for further information.

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

    Modified on July 30, 2020

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