Corporate Partnership Program
Harness the Power of Corporate Partnership
Our innovative partnership program accelerates your company’s digital transformation and develops data-driven leaders with the latest advances in AI, machine learning, neuroscience, and business intelligence, using our global consortium of academics, students, and industry practitioners.
How We Collaborate
Academics and students use your datasets and the latest techniques in machine learning and AI to solve real-world business problems.
• Project durations range from 10-16 weeks for student projects and up to 24 months for faculty research projects
• Number of researchers involved can range from 2-30
• Models and insights customized for your business
Partnership Cost: $150,000
(A two-year engagement, $75,000 annually)
Choose the Option that is Right for Your Team
Leverage your projects with Wharton to enhance the data literacy and analytics culture across your team and organization. Collaborate with world-class faculty and students to answer your company’s most-pressing business questions using machine learning and AI. Select two student projects (one per year) or one faculty research project.
Derive deep insights and actionable ML models, acquire a new perspective for your business challenge, and establish recruiting pipeline for students.
A Wharton team works with you to formulate a precise research question and dataset. A curated multidisciplinary team of Wharton and Penn students works alongside a Wharton faculty or mentor, and your company champion, to deliver innovative models and solutions.
Faculty Research Project
Gain access to 3,700+ academics, create innovative business tools, and work alongside faculty.
Faculty Research Projects usually span 12-24 months and range from using one to several highly customized academic teams. Wharton faculty work with you to identify and scope a project, recruit top academic researchers, and facilitate meetings and project checkpoints until research completion.
“At Wharton, our teaching and research define the cutting edge in using data analysis to inform decision-making. Our students and faculty are applying these methods in real time to real problems, meeting the growing needs of organizations seeking talented people who can turn raw data into actionable business intelligence.”
– Eric T. Bradlow
Vice Dean of Analytics, the K.P. Chao Professor and Professor of Marketing, Economics, Education, and Statistics, chair of Wharton’s Marketing Department
Case Studies and White Papers
AIAB’s case studies and white papers showcase how our corporate partners have benefited through participating in our student and faculty research projects.