Advanced Field Projects

Main contact
Ivey Business School
London, Ontario, Canada
Manager, MSc Program Services
4
Timeline
  • July 30, 2024
    Experience start
  • October 31, 2024
    Experience end
Experience
10 projects wanted
Dates set by experience
Preferred companies
London, Ontario, Canada
Any company type
Any industries

Experience scope

Categories
Financial modeling Data analysis Competitive analysis Market expansion Sales strategy
Skills
business concepts marketing sales data analysis research
Learner goals and capabilities

These consultancy-like project are designed to provide students with an opportunity to apply business concepts, principles and theories that they have acquired throughout their program to in a real-world setting with a partnering client. Students work in teams with a client to identify and scope a strategic issue, opportunity, challenge, or problem and develop solutions that will contribute to the success of the organization.  


Clients and projects are developed and scoped at a high level to determine their fit with the student groups and appropriate timeline for participation (July/August). Organizations are not limited and are able to submit proposals in strategy, sales, marketing, data analysis and operational planning.  


Students may be eligible to apply for a research project elective credit by submitting an application to the academic director. Given that the projects are outside or students regular schedule curriculum and an additional engagement, this would require organizations to contribute x dollars in order to participate in the project.  

Learners

Learners
Graduate
Any level
75 learners
Project
120 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables

Students are to have a scope of work, business brief, mid-point check in, and final presentation to clients

Project timeline
  • July 30, 2024
    Experience start
  • October 31, 2024
    Experience end

Project examples

Requirements

Strategy, sales, marketing, data analysis and operational planning

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