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ƽÌØÎå²»ÖÐ MMA Experiential Module

ƽÌØÎå²»ÖÐ MMA(EXP)

Real-world Exposure through the Experiential Module

Need help with your business analytics needs? Learn how MMA can help you or your partners at no cost.

On this page:

→ÌýEXP Analytics Consulting module
→ Capstone projects
→ÌýExperiential Learning Spotlight
→ÌýExperiential Coaches


As core to the Master of Management in Analytics (MMA) program, the EXP Analytics Consulting module has ƽÌØÎå²»ÖÐ MMA students working alongside Industry professionals solving a significant Data & Analytics problem, aimed to boost the client’s top or bottom lines.


Be part of a Data Science team of 4 student specialists

  1. Business Strategist
    - What is the problem?
    - How do we solve it?
  2. Data Analyst/Modeler
    - Identify core data needs
    - Define formulas/algorithms
  3. Data Engineer/Coder
    - Automate data sourcing
    - Integrate solution components
  4. Visualization/UI Designer
    - Design front end for best user adoption
    - Articulate User Experience

With the ƽÌØÎå²»ÖÐ MMA(EXP) Analytics projects, you get full structural integrity to drive a strong result.

MMA (EXP) Cycle


Build a Data Driven Solution over the Program Long Tenure

MMA (EXP) Program Structure

All students undertake a technical consulting role by working in teams with real companies and attempting to solve a live data-driven problem.

  • Produce a robust analytic solution over 10 months
  • Practice using real data and market-leading software
  • Benefit from industry mentorship and faculty coaching
  • Gain unparalleled training for the job market

Capstone projects

The Master of Management in Analytics’ experiential capstone projects are year-long opportunities where student teams get to work in the private and public sectors to solve pressing issues of the day using data analytics. Here are a few examples of our student's real-world projects.

KPMG LogoProfessional Services-Consulting
Forensic Analytics Anomaly Detection

The world’s governments and large companies spend trillions of dollars on procurement each year. That is a lot of transactions – and an enormous amount of data. Identifying fraudulent transactions is no easy task, but it can help protect a company’s reputation, and avoid costly fines from regulators. To do that, large organizations often work with auditors at large professional services firms like KPMG, which specializes in this type of work. With such large and complex data sets, automation is key to efficiency. And Master of Management Analytics students have been working with the Big 4 accounting firm to apply analytics techniques to detecting anomalies in these data sets – and helping to identify suspicious transactions.


Government of Ontario LogoGoogle LogoPublic Sector-Provincial Govt
Communications & Media Buying

Public Media Topic Modeling & Media Channel Optimization

Governments represent the voters who elected them – but the halls of power can be pretty far removed from the everyday experiences of ordinary people. Topic modelling can help bridge this gap, and Master of Management Analytics have used the technique to help the Government of Ontario understand what their voters care about most. Topic modelling analyzes a set of textual document to search for specific topics, and how frequently they are being discussed. Governments can use that information to shape communications strategies, and ensure they are focused what people care about the most.


Loblaws LogoGoogle LogoRetail: Consumer Goods
Digital Retail: Beauty

Product Recommendation & Bundling Engine

Loblaws began as a single grocery store in Toronto, but it grew in to a retail giant with stores across the country. Today, Loblaws is Canada’s largest retail chain by revenue, and it sells a lot more than groceries. The company has branched out in to clothing, household items, pharmacy, and beauty products, and its PC Optimum loyalty rewards program is one way the company nudges its customers to buy additional products from the company. Master of Management Analytics students have worked with Loblaws to develop a product recommendation and bundling engine that will help them identify which products would complement other purchases.

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MMA Experiential Learning Spotlight

MMA Experiential Learning Spotlight

The experiential learning project offers students the chance to gain valuable hands-on experience and develop their skills in analytics while making an impact on their professional growth. From real-world experience to mentorship from industry leaders, learn more about the benefits of the MMA program.


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MMA Experiential Coaches

Complementing the Academic side of the learning, Professional Coaches play an integral role in helping navigate students through expectations of the MMA industry projects as well as that of the course. They ensure that students keep the project on point, guide them through aspects of the deliverables that are unique to each client and mentor on effective and successful collaboration with client teams. Leveraging their industry expertise, they also act as advisers on solution development and challenge students to get to the edge of their abilities.

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Director of Business Intelligence |Ìý

Dino guides MMA students as an Analytics Consulting Coach to share his experiences in having designed, developed, and delivered mission-critical decision support and analytics solutions for leading corporations across various industries and ranging from Fortune 100s to technology startups. His passion lies in building high performing teams, tackling real-world challenges using data, and elevating the analytical capabilities of his clients and stakeholders.

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Consultant, Strategist | AI/Data/Finance/Sales

Ken guides MMA students as an Analytics Consulting Coach to share his experiences in being passionate about distilling disparate sources of information into key points of relevant business or academic knowledge in order to help coach people or organizations to operate more successfully.

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Founder and Principal |Ìý

Dimitris guides MMA students as an Analytics Consulting Coach to share his experiences in having built data science teams from the ground up with a focus on learning and development and a proven track record of delivering something of value to the customer. Dimitris has worked in the intersection of payments and data for over 10 years across multiple countries. He's held positions in Business Intelligence, Product, Payments, and various senior leadership roles which he leverages to quickly adapt to a changing market.


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