Studyportals

Management Analytics

University of Toronto

Master
9 months
Duration
64580 CAD/year
41400 CAD/year
Unknown
Tuition fee
Passed
Unknown
Apply date
Unknown
Start date

About

The world of data-driven decision-making is moving fast – and with our Master of Management Analytics at University of Toronto , 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.

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Overview

Master the skills needed to succeed in the field of management analytics with our full-time program that runs from August to April.

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 will provide an opportunity to gain in-depth experience through a real-life managerial problem.

The program Management Analytics at University of Toronto is 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.

93% of graduates from the MMA Class of 2019 successfully secured employment.within 3 months of graduation.

Programme Structure

Courses included:

  • Analytics for Marketing Strategy
  • Analytics Insight Using Accounting and Financial Data
  • Big Data Analytics
  • Colloquium
  • Leveraging AI and Deep Learning Tools in Marketing
  • Management Analytics Practicum
  • Modeling Tools for Predictive Analytics
  • Optimizing Supply Chain Management and Logistics
  • Structuring and Visualizing Data for Analytics
  • Tools for Probabilistic Models and Prescriptive Analytics

During the introduction, students will complete the following short courses:

  • Analytics in Management
  • Data-based Management Decisions
  • Bootcamps (SAS, SQL, R)
  • Python for Computer Science

Audience

The Master of Management Analytics is a practical degree designed for quantitatively strong students who have recently completed undergraduate studies.

Lecturers

Faculty include:

  • Dmitry Krass, Academic Director, Prof. of Ops Management & Statistics, Sydney C. Cooper Chair in Business & Technology
  • David Soberman, Canadian National Chair in Strategic Marketing & Prof. of Marketing
  • Maria Rotundo, Prof. of Organization Behaviour & HR Management

Data Scientists in Residence include:

  • Meghan Chayka, Co-Founder, Stathletes
  • Brian Keng, Chief Data Scientist, Rubicloud

Key information

Duration

  • Full-time
    • 9 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
3 (required)
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
7 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
100 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

Undergraduate degree:

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. 

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

Two academic references: We encourage you to have at least one reference from a professor who has taught you in a quantitative course.

Work experience

No work experience is required.

Technological requirements

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

Tuition Fee

  • International

    64580 CAD/year
    Tuition Fee
    Based on the original amount of 64580 CAD per year and a duration of 9 months.
  • National

    41400 CAD/year
    Tuition Fee
    Based on the original amount of 41400 CAD per year and a duration of 9 months.

Fees stated are for 2019 entry. Fees are set annually and are subject to change. See our website for full details.

Funding

Students may apply to participating banks for an interest-subsidized professional student loan. Rotman also provides interest subsidies on other eligible student loans. Visit our website for details. 

Applicants are automatically considered for competitive entrance awards, given to candidates who meet specific criteria detailed on our website.

These awards include:

Entrance awards (Merit awards between $5,000 - $20,000 CAD, with multiple $5,000 Women's Excellence Awards)

Victor Tung Scholarship ($4,000 CAD)

Vector Institute Scholarships in AI - (Merit-based scholarship of approximately $12,000 CAD awarded to select MMA students. Scholarship recipients also participate in numerous special programs and events.) 

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Management Analytics
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