The Wharton Analytics Fellows program unites Wharton undergraduates, MBAs, graduate students, and faculty members in the pursuit of a common goal: tackling our clients’ most complex challenges using the power of AI and analytics.
Wharton Analytics Fellows
Wharton Analytics Fellows is a highly selective fellowship program that allows motivated Wharton undergraduates, MBAs, and graduate students to put their analytics skills to the test in the real world. Fellows consult for our clients on their toughest data science problems, building them predictive models and presenting their findings to senior leadership. Our clients put these models into practice, giving students the opportunity to see their work have a real impact.
For more information, contact whartonanalyticsfellows@wharton.upenn.edu.
Spring 2025 – Important Dates
Students must be able to commit a minimum of 10 hours/week for 8 weeks, and be available on the following dates and times:
Role Requirements
Business Lead
Business Leads are responsible for leading and managing the project team, coordinating with clients, and managing the finer details of the engagement. They are usually MBAs or upperclassmen and often have extensive work and leadership experience in business and consulting.
Technical Lead
Technical Leads are data science experts with high-level programming skills who are responsible for the technical aspects of the projects. They build the most complex models and mentor analysts throughout the project. Technical Leads are usually PhD or MSE students with extensive industry experience.
Senior Analyst
Senior Analysts are top undergraduates with advanced skills in programming, statistics, and modeling. They usually have high-level coursework in the CIS and STAT departments under their belt in addition to significant internship and project experience.
Junior Analyst
Junior Analysts typically have intermediate data science skills at roughly the level of STAT 102, STAT 477, and/or WUDAC’s Analytics 101 and 201 courses. They are notable for their willingness to learn and work hard, and many of them progress into leadership roles within WAF in later semesters.
Petco Gains New Insights, Quick Results Through AI & Analytics Accelerator
Last spring, the Wharton AI & Analytics Initiative hosted its 12th AI & Analytics Accelerator, an experiential learning opportunity which pairs teams of students from across the University of Pennsylvania with participating companies.
Peggy Pranschke from Petco worked with teams of Wharton and Penn students to leverage machine learning and data analytics to help develop novel solutions for supplementing email marketing campaigns for her company.
Read About Past Projects
Keeping Viewers Glued to Their Seats at the 2021 AI & Analytics Accelerator
An MBA and undergraduate student team analyzed data from FOX Entertainment to help inform data-driven promotion strategies for marketing their TV shows.
Read article >>
Students Offer Sweet Solutions to Data Problems at the AI & Analytics Accelerator
How strong is the halo effect when it comes to selling candy and gum? This was among the many questions students set out to answer during the third annual AI & Analytics Accelerator.
Read article >>
How a Penn/Wharton Student Team Is Helping the Barnes Foundation Reach Bigger Audiences
When the Barnes Foundation had questions about its attendance data, a team of Penn students answered through the AI & Analytics Accelerator.
Read article »
Get Your Company Involved
Interested in working with our data science teams? Reach out to our Wharton partners to inquire about partnering with us.
AI at Wharton
Applying AI and advanced analytics to transform and innovate business enterprises within academic disciplines that include human-AI collaboration.
People Analytics
Advancing the practice of people analytics and evidence-based management to help individuals and organizations thrive.
Sports Analytics and Business Initiative
Applying data-driven decision-making to find new understanding of the evolving sports business industry.
Wharton Neuroscience Initiative
Building Better Business through Brain Science.
