Broaden your analytics skillset through a month-long experiential learning project and work with actual companies using real-world datasets
Benefits
Spring 2025 AI & Analytics Accelerator – Important Dates
Students must be able to commit a minimum of 10 hours a week for 8 weeks.
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 to come.
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
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