The Lally School Welcomes Projects From Local Companies That Provide Students With Exposure To Current Business Challenges
As a participant of the RPI entrepreneurial ecosystem, we would like to make you aware of a unique project opportunity. The Lally School of Management and EVE are working together to help both our students as well as our affiliated companies complete mutually beneficial real-world business projects as part of students’ academic curriculum for class credit during this Fall semester. The objective is for businesses to help students build a bridge between the world of business education and the practical world of business, and for students to help businesses by applying the latest learnings from the classroom to deliver viable recommendations to a pre-defined problem or need.
Student teams will be available to work on projects in diverse industries like finance, technology, manufacturing and services as well as diverse functions like marketing, operations, human resources, analytics, organizational behavior, finance and technology commercialization.
There is no charge to the business for participating.
RPI has a very talented and skilled student body that can work on a breadth and depth of business-related projects. If you have a project in mind that you would like to propose to see if a student team could be matched, please send a brief description and overview of your project need, using the form below, to Tammy Bolduc at firstname.lastname@example.org by Wednesday, September 2nd, so that she can put you in touch with the appropriate Lally faculty member to discuss further.
Below are some examples of the types of projects that would be appropriate:
- Marketing assessment/marketing plan projects;
- Mini cases that show how companies can use data analytics for their business. Here, a guest speaker from the company would present a challenge to a class and discuss the data they have, and then let the student propose ways to use the data for competitive advantage;
- A case study for the Business Analytics case competition. Here, we can take big messy data sets that students can work on to solve a problem;
- A project for a course called Predictive Analytics;
- A database development project.
Those are some sample projects, and there is certainly flexibility to consider any other specific project needs and ideas, as we want this to be a practical, useful, and valuable experience and outcome for both the students and the companies.