McIntire’s innovative specialized business graduate degrees and its hallmark undergraduate program are designed to create a wealth of opportunities for students. Immersive, hands-on courses offer transformative educational experiences that provide immediate value. Our faculty-led programs provide key business skills and fluency in many business areas.
McIntire faculty inspire students to lead with integrity and purpose when confronting today’s grand challenges in business. Our bold and brilliant professors are also committed scholars who conduct cutting-edge research through seven active centers that serve as the School's nexus of collaboration and interdisciplinary exploration.
In addition to the lifelong benefits that come from an innovative McIntire business education, Commerce School students enjoy an enhanced UVA experience on Grounds and around the globe. From insightful student services that help connect you with your passion to specialized career support that provides real-world employment opportunities, there are countless ways to make the most of your present while investing in your future.
Center for Business Analytics
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.
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.
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.
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.