On this page:
→ Capstone Analytics Consulting Project
→ Experiential Coaches
→ Capstone projects
As core to the Master of Management in Analytics (MMA) program, the Capstone Analytics Consulting Project has McGill MMA students working alongside Industry professionals solving a significant Data & Analytics problem for the client.
With the Capstone Analytics Consulting Project, you get full structural integrity to drive a strong result.
Be part of a Data Science team of 5-6 student specialists. With roles such as:
- Business Strategist
- What is the problem?
- How do we solve it? - Data Analyst/Modeler
- Identify core data needs
- Define formulas/algorithms - Data Engineer/Coder
- Automate data sourcing
- Integrate solution components - Visualization/UI Designer
- Design front end for best user adoption
- Articulate User Experience
Build a Data Driven Solution over the Program Long Tenure
All students undertake a technical consulting role by working in teams with real companies and solving data-driven problems.
- Produce a robust analytic solution over 8 months
- Gain experience using real data and market-leading software
- Benefit from industry mentorship and faculty coaching
- Gain new perspectives to apply to your current or future roles
MMA Experiential Coaches
Professional experiential coaches play a vital role in complementing the academic aspects of learning by guiding you through the expectations of both the MMA industry projects and the course itself. coaches help you to stay focused on your project, guide your deliverables and mentor you on collaboration with clients. Drawing on their industry expertise, these coaches also serve as advisors for solution development, challenging you to push the boundaries of your abilities.
Capstone projects
The Master of Management in Analytics’ experiential capstone projects are 8-month opportunities where student teams get to work in the private and public sectors to solve pressing issues using data analytics. Here are a few examples of our student's real-world projects.
Professional 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.
Public 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.
Retail: 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.
