AI & Analytics Accelerator

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

Benefits

null

SKILL DEVELOPMENT

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

null

NETWORKING AND RECRUITING

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

null

REAL-WORLD IMPACT

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

Fall 2024 AI & Analytics Accelerator – Important Dates

Students must be able to commit a minimum of 10 hours a week for 8 weeks.

September 27

Project Kickoff

December 6

Analytics Accelerator Summit

APPLICATIONS ARE CLOSED.

Selected students will have the opportunity to work directly with leading companies to solve actual business challenges using the latest advances in machine learning and AI.

Project Descriptions Coming Soon.

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.

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

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

Analyze
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.

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

“Having the opportunity to work with real datasets, I was able to gain a deeper understanding of many of the statistical concepts I had learned in my coursework. After working on three AI & Analytics Accelerators, I feel confident in my ability to tackle a real-world, unstructured, data science problem.”

– Ashley Clarke, W’23

Previous Partners

align-logo
comcast-logo
cubic-logo
Dallas_Area_Rapid_Transit_logo.svg
Electronic Arts logo
evite-logo
ferrero-logo
felix logo
firsttrust-bank-logo
fox-entertainment-logo
hearst-logo
ikea-logo
lidl-logo
lowes-logo
kang-shi-fu
mcdonalds-logo
neuroflow-logo
petco-logo
te-connectivity-logo
zillow-logo