Analytics Accelerators

Broaden your analytics skillset through a monthlong experiential learning project and work with actual companies using real-world datasets

Why the Analytics Accelerator?




Work with a Wharton mentor and develop highly marketable skills through hands-on experience with the latest tools and programming languages in data analytics



Gain exposure to executives at leading companies who are looking for top talent just like you



Work with real-world datasets to help companies solve an actual business challenge

“The Accelerator is a great opportunity to work with an actual, large company and see the problems they face with data on a daily basis. You learn what kind of business decisions you can make with that data and apply the theoretical things you’re learning in the classroom to create impact in the real world.”

– Priyansh Sharma, ENG’ 21

How it Works

Who Is Eligible?
Penn and Wharton undergraduate and graduate students who show a demonstrated interest in analytics and possess relevant skills ranging from project management, to client relations, to technical expertise. Technical skills are not required but are a plus.

Submit your application through a highly competitive selection process and get assigned to a company based on your skillset and their needs.

Kick off the project, meet with your assigned company, and discuss their real-world business challenge.

Working closely with a Wharton mentor, analyze the dataset using programming languages and tools of your choice (i.e., Python, SQL) and create a statistical model that helps to solve the business challenge.

Share your findings and recommendations with your company at the Analytics Accelerator Summit.

Fall Analytics Accelerator – Important Dates

Students must be able to commit a minimum of 10 hours/week for 7 weeks, and must be available on the following dates and times:

September 1-18

Student Applications Open

October 5-9

Initial scoping meeting with WCA and company representatives

November 13

Analytics Accelerator Summit

Previous Analytics Accelerators

Cubic Mission Solutions is a manufacturer of secure communication solutions to defense and public safety markets.

Cubic was looking to develop a model to recommend products to customers and recommend ways to appeal to certain customer groups and measure success.

Essity is a global hygiene and health company, with its headquarters in Stockholm, Sweden. The company develops, manufactures and sells products and solutions within hygiene and health.

Essity was looking to develop an in-field pricing recommendation engine for distributors of hygiene products

Ferrero is the third top-selling chocolate confection manufacturer in the world. The company has ambitious growth plans to be achieved through innovation, category expansion, and M&A. The company is family-owned and run.

Ferrero was looking to develop a marketing mix model(s) to better balance resources to power brands and product innovations.

TE Connectivity is a technology company that designs and manufactures connectivity and sensor products for harsh environments in a variety of industries.

TE Connectivity was looking to develop a model to predict sales and revenues for this sensor manufacturer.


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