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2021 Master of Management Analytics

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Page 1: 2021 Master of Management Analytics

Rotman

Here's Where it changes.

Master of Management Analytics

1

2021

Page 2: 2021 Master of Management Analytics

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MASTER OF MANAGEMENT ANALYTICS 3

Join the best

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

24Average Age range 21 - 33

3.6Average Undergrad GPA

54% of class with work experience range 1 – 4 years

50%

Female

50%

Male

Brazil Canada China India Pakistan Sri Lanka Turkey United States

Countries Represented

Academic Background

CLASS OF 2020 PROFILE

4%

6%

6%

6%

8%

11%

11%

4%

2%

34%

4%

4%

Computer Science

Marketing

Operations Management

Engineering

Actuarial Science

Statistics

Accounting

Mathematics

Informations Systems

Life Sciences

Economics

Finance

"The MMA curriculum is well designed, with the first semester focusing on hard technical skills and the second on applying data science to solve finance, marketing and operations challenges."

Yiran (Margaret) Liu MMA '19

Data Scientist, Artificial Intelligence and Machine Learning team, Customer Insight, Data and Analytics, Scotiabank

Previous education: Bachelor of Economics in Finance, Zhejiang University, China

Learn more ,

Q&A with Yiran Liu ,

Page 3: 2021 Master of Management Analytics

Rotman

Here's Where it changes.

4

MASTER OF MANAGEMENT ANALYTICS 1

The field of management analytics is evolving at an extraordinary pace. If you are looking to make your mark in this exciting field, consider the Rotman Master of Management Analytics.

At once a theoretically rigorous and highly experiential degree, the MMA helps you gain the advanced skills required to shape future business decisions. In eleven months of intensive study, you learn the newest predictive tools in machine learning and artificial intelligence for the innovation and tech-driven economy.

University of Toronto Enjoy a full-campus experience at the historic St. George campus of the University of Toronto. Established in 1827, U of T is a global centre of research and academic excellence, recognized worldwide as Canada’s leading university — a reputation that adds tremendous value to your Rotman MMA degree.

Toronto: Centre of the action The Rotman School is located in downtown Toronto, the second largest financial centre in North America and ranked one of the world’s best start-up ecosystems. A recent study by McKinsey concluded that the Toronto- Waterloo Corridor, known as Tech North, is rapidly growing into the largest concentration of artificial intelligence, machine learning, fintech and quantum computing start-ups in the world. The School takes full advantage of its strategic location by drawing on a rich pool of business and industry leaders as teachers, mentors and speakers.

University in Canada

# 1 of the Top Universities in the World

# 18University of Toronto ranks:

— Times Higher Education World University Rankings 2020

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MASTER OF MANAGEMENT ANALYTICS 3

Why choose the Master of Management Analytics

Located in the heart of Canada's technology corridor, Rotman offers you wide-ranging opportunities to hone your expertise in AI and predictive analytics.

TD Management Data and Analytics Lab Collect and analyze big data. Drawing on data from both private and public sources, the lab is an invaluable resource to MMA students. Lab staff and our resident data scientists help you to create and manage data sets and derive actionable insights from them using programming languages and analytic tools, as well as offer access to industry experts through speaker series. Learn more ,

Industry connections Meet experts in their field. Connect with senior practitioners through networking events and the practicum, and through interactions with the advisory board and our in-house data scientists. Learn about analytics in different industries in order to shape you future career opportunities. Learn more ,

FinHub Explore the latest in financial innovation. FinHub provides an environment for students, faculty and industry participants to apply AI and machine learning tools to a wide range of problems facing the financial industry. Learn more ,

"I came to Rotman to improve my business acumen and learn how to use analytics to solve crucial business problems. The MMA practicum helped me do just that."

Mina Rezaei MMA '19

Data Scientist, Canadian Tire

Previous education: Bachelor of Electrical and Electronic Engineering, University of Manchester

Case competitions and datathons Showcase your talent to top industry experts and impress potential employers. Each year, Rotman students participate in a range of competitions, applying their skills and knowledge to real-world challenges. Learn more ,

Events and speaker series Learn from the best. Each year, Rotman hosts over 100 public talks by best-selling authors, finance professionals and other thought leaders. The insights shared by these speakers have an extraordinary impact on students. Browse our events ,

Rotman clubs Led and organized by Rotman students, the student clubs offer a rich calendar of social, cultural and career-related events and activities. Clubs provide a remarkable opportunity to meet and network with like-minded individuals from different programs. The Rotman Business Analytics Club is of particular interest to MMA students. Learn more ,

Vector Institute recognition Our program is recognized by the Vector Institute as developing the skills and competencies sought by the artificial intelligence industry in Canada.

In Canada # 1

In the World # 17

In North America # 8 QS World University Rankings:

Masters in Business Analytics Rankings 2020

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

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

R Acquiring a deep understanding of the managerial problem

R Identifying the data sources and creating analytical data sets

R Designing, validating and implementing analytical solutions

R Communicating your results effectively

%Take a Virtual Tour of the Rotman School

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MASTER OF MANAGEMENT ANALYTICS 5

Learn from the best

4

"The Rotman MMA program is unique in that it provides students with both sophisticated technical skills and with a managerial and business toolkit. Unlike other programs, we do not have an AI track within our MMA. AI tools and mastery of coding languages like Python, R and SQL are among the core skills all our students are expected to develop."

"Organizations that know how to analyze and leverage data effectively are going to have a competitive advantage."

Brian Keng

Dmitry Krass Professor of Operations Management and Statistics

Academic Director, MMA program

PHD, JOHN HOPKINS UNIVERSITY

Thought leaders The Rotman faculty is the largest in Canada and is ranked among the top twenty globally for management research. They have built a stellar reputation for their groundbreaking research, teaching excellence and insights into a wide range of management issues.

Among our professors are seasoned professionals who tap into their real-world experience to guide students and bring classroom discussions to life. They give you access to the latest research before it filters into consulting firms and major corporations.

Data Scientists in Residence (DSIR) A key connection between students and industry, our data scientists in residence provide a wealth of insight. They include:

Meghan Chayka Co-Founder, Stathletes

Meghan is an entrepreneur and the co- founder of Stathletes, a sports analytics and insights business that provides industry leading data precision within the sport of hockey.

Brian Keng (left) Chief Data Scientist at Rubicloud Technologies

At Rubikloud, Brian leads a team using AI and machine learning to build intelligent decision automation systems for some of the world's largest retail organizations.

Learn more ,

Faculty teaching in the program include:

Philipp Afèche Associate Professor of Operations Management and Statistics

PHD, STANFORD UNIVERSITY

Opher Baron Professor of Operations Management

PHD MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT)

Mara Lederman Associate Professor of Strategic Management

PHD MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT)

Scott Liao Associate Professor of Accounting

PHD, OHIO STATE UNIVERSITY

Joseph Milner Professor of Operations Management

PHD, MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT)

Maria Rotundo Professor of Organization Behaviour and HR Management

PHD, UNIVERSITY OF MINNESOTA

David Soberman Canadian National Chair in Strategic Marketing and Professor of Marketing

PHD, UNIVERSITY OF TORONTO

Ryan Webb Assistant Professor of Marketing

PHD, QUEEN'S UNIVERSITY

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MASTER OF MANAGEMENT ANALYTICS 7

Transform your potential

The Master of Management Analytics Program is designed for talented individuals seeking a transformative learning experience. The program will challenge you to push your limits, expand your creativity and focus your critical thinking and decision-making skills to transform your leadership potential.

"The practicum project allowed me to apply the skills I was gaining in the program — and played a key role in landing my position at Scotiabank."

Joseph Manza MMA '19

Manger, Smart Automation, Scotiabank

Previous education: Mechanical Engineering, University of Toronto

Master of Management Analytics Advisory Board The MMA program advisory board plays an important role in raising the program's profile, and works with our faculty to ensure that the MMA is relevant to the needs of future employers. Our advisory board comes from a number of different sectors, including financial services, marketing, telecommunications, social media and CPG.

Learn more ,

Career Services A degree from the Rotman School gives you access to excellent jobs across a broad range of industries. Our high-touch approach and exceptional staff-to-student ratio means you enjoy personal attention to help you prepare for the job market and excel in your career.

Our dedicated Career Services team will help you build a career management plan to achieve your professional goals through:

kOne-on-one career coaching

kExclusive MMA networking events throughout the year

k Industry-specific speaker events

kProfessional skills workshops designed to set you up for success

kTechnical interview and case interview preparation

kMock interviews with industry professionals

k24/7 online resources

Self-Development Lab Sessions in small groups help you develop your communication, interactive and interpersonal skills. Learn to express yourself effectively, understand your own motivations and those of others, and achieve your goals in complex, high-stakes environments.

Learn more ,

"The MMA program allowed me to apply what I learned to help solve real-world problems facing companies today."

Yuxuan Hou MMA '19

Data Scientist, Zesty.ai

Previous education: Mathematics Applications in Finance and Economics, University of Toronto

of MMA students (Class of 2019) employed within 6 months of graduation 98%

Q&A with Joseph Manza ,

Q&A with Yuxuan Hou ,

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MASTER OF MANAGEMENT ANALYTICS 9 MASTER OF MANAGEMENT ANALYTICS PROGRAM CURRICULUM

Note: Course order and timing for each academic session subject to change.

Master the skills required to succeed in the field of management analytics, with cutting-edge coursework that exposes you to the newest techniques in machine learning and artificial intelligence. Tackle the business challenges of today — and tomorrow.

Real-world results The curriculum of the eleven-month MMA program is designed in partnership with industry in order to meet the changing requirements of this fast-evolving industry. The full-time program starts in August, with one intake per year.

Software tools A strong software toolkit is essential for an analytics professional. During the program you will use a range of tools, including: Python, R, SQL and SAS.

Professional certification As analytics matures as a job function, professional certification is becoming increasingly important. While it is not a program requirement, you will be supported and encouraged to write professional certification exams offered by organizations such as SAS, Microsoft and Tableau.

Your MMA journey

"The Rotman MMA experience is first class. Professors consistently push us beyond our comfort zone, career services provide invaluable feedback, and there are as many networking and extra-curricular opportunities as you can handle."

Andrew Lauzon MMA '19

Consultant, Trindent Consulting

Previous education: BSc Honours (Life Sciences), Queen’s University

Introduction August to September

SeptemberAugust June

The practicum provides an opportunity for student teams to engage with a real- world business problem.

The courses within the program, topics covered in the colloquium and various resources at Rotman will guide you in producing the best possible solutions to the managerial issues addressed in the practicum.

A series of mini-courses throughout the program exposes you to current trends and topics. The areas covered are reviewed annually to ensure the most important issues are covered. Certain topics such as ethics will be covered each year.

Familiarize yourself with Rotman and gain an overview of the topics you will be covering during the program.

R Analytics in Management R Data-based Management Decisions

R Bootcamps (SAS, SQL, R) R Python for Computer Science

Management Analytics Practicum October to June

Colloquium September to June

In this term, students learn about a wide range of analytic tools, from simple predictive models to complex statistical models of learning to simulation-based tools.

kStructuring and Visualizing Data for Analytics

kModeling Tools for Predictive Analytics

kBig Data Analytics

kTools for Probabilistic Models and Prescriptive Analytics

Analytical Tools & Techniques September to December

This term looks at the typical challenges organizations face, and how data can be used to solve them. It considers the types of data available in different sectors and departments, and how they can be used to meet organizational objectives.

k Leveraging AI and Deep Learning Tools in Marketing

kAnalytics for Marketing Strategy

kAnalytic Insights Using Accounting and Financial Data

kOptimizing Supply Chain Management and Logistics

Managerial Uses of Analytics January to May

Previous topics included:

kEthical and Legal Issues in AI

kThe Basics of API Usage and Design

kHadoop for Data Science

kProbabilistic and Bayesian Networks

kSocial Networks Representation

kAnalytics for Fraud Detection and Money Laundering

kUnderstanding Customer Relationship Management (CRM)

Working with your counterparts in the organization, you will:

kDevise an analytical approach to solving a managerial issue

kPresent a design for the analytical data set and model development

kExecute and present the results

Q&A with Andrew Lauzon ,

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MASTER OF MANAGEMENT ANALYTICS 11

Do you have what it takes?

Quantitative proficiency kHave you taken Calculus, Linear Algebra, Statistics and Probability?

kHave you taken Advanced Level mathematic courses?

Computational proficiency kWhat programming languages are you proficient in?

kHow have you used programming in your studies, work or projects?

Communication skills k You have demonstrated this ability through the application process

k You are able to make a case about why you are a good candidate for the program

Passion for analytics kWhy do you want to study and have a future in analytics?

kWhat makes your application stand out from others?

Our admission decisions are holistic: we are looking for unique people, not profiles. Although there is no model application, successful candidates share some qualities that help make them stand out.

Admission & next steps Admission Criteria

Financing and Awards

Next Steps

Create an online profile. Stay informed and easily register for our upcoming admissions events. Create your profile at: getstarted.rotman.utoronto.ca

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

rotmanschool

Tuition Fees

Application Deadlines

Please note that all fees are set annually and are subject to change. Costs do not include university incidental fees or compulsory ancillary fees.

Fees applicable to students entering the program in 2020:

RAppropriate four-year undergraduate degree or equivalent Relevant program such as (but not limited to) Computer Science, Statistics, Mathematics, Engineering, Physical Science, Economics or Commerce. Minimum B average across courses in the final year. Most successful applicants will have a higher GPA.  

RQuantitative proficiency Evidence of proficiency in linear algebra, probability, statistics and calculus. Proficiency can be demonstrated through university level courses completed, with a minimum B grade in courses that cover the relevant topics.

First round: November 18, 2020

Second round: February 3, 2021

RComputational proficiency Evidence of proficiency in computer programming. Proficiency can be demonstrated through academic history, projects, work experience or extra- curricular activities

RTwo academic references

RResume

ROnline application

RInterviews by invitation only

REnglish language proficiency

RStandardized test results: Test results of GMAT or GRE (general test) are encouraged, though not required

Rotman School of Management University of Toronto 105 St. George Street, Toronto, Ontario, Canada M5S 3E6

Domestic students

$ 41,400

International students

$ 67,160

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 when meeting specific criteria outlined online. These awards are:

RMerit awards between $5,000 to $20,000, with multiple $5,000 Women’s Excellence Awards

RVictor Tung Scholarship: One merit award of $4,000

RVector Institute Scholarships in AI (VSAI): Merit-based scholarships of approximately $13,000 are awarded to select MMA students. VSAI fellows participate in a number of special programs and events at the Vector Institute.

Tip: The earlier you apply, the greater your chance for an entrance award.

Web: www.rotman.utoronto.ca/MMA Email: [email protected]

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Rotman School of Management University of Toronto 105 St. George Street Toronto, Ontario, Canada M5S 3E6 www.rotman.utoronto.ca