CBA enhances and expands analytics courses across McIntire, which includes the Business Analytics Track for undergraduate students, a 15-credit specialization in the pre-experience M.S. in Commerce Program, and the M.S. in Business Analytics Program, offered in partnership by the Darden School of Business and the McIntire School of Commerce. CBA also provides executive education to its members and other decision makers through targeted workshops and collaborative case studies.
Center for Business Analytics
Education and Training
McIntire’s collaborative, experiential approach to refining our highly regarded programs is the result of a longstanding and rigorous commitment. As we prepare our students for future success in global business, we ensure that our curriculum cultivates leaders who contribute to the greater good across multiple industries.
Research by CBA team members is offering important considerations for managers and data scientists interested in making use of machine learning, including semi-automating the model development process, contextualizing machine learning with representation engineering, and balancing depth with breadth through data triangulation.
AI in Finance
Examining the rewarding but demanding practice of integrating AI to enhance processes and operations across financial sectors, the Center has provided strong thought leadership in work with its corporate partners, detailing risk mitigation and other critical factors when implementing AI.
In conjunction with its industry partners, the CBA has probed consumer and workplace perspectives of automation ranging from online banking and self-driving cars to big issues like large-scale job loss. Using a large U.S. population sample, they examined data revealing the tension between automation’s perceived consumer-side benefits and its threat to otherwise human-performed jobs.