Business Analytics

Faculty: Professor Alhourani, Chair; Professors Jenzarli, Papp, Shirley, Veltri, Yayla; Associate Professors Al-Abdullah, Bartelt, Farkas, Jain, Kam, Kim, Shang; Assistant Professors Keshanian, Kurumathur, Oruongo, Rezvani, Salehi, Tahvildar, Wu, Zaitsev, Zhong; Associate Teaching Professor Nisar; Assistant Teaching Professors Giovannetti, Taeb; Lecturers I Aschenbrenner, Ghannadian, Marks, Ramos.

The Business Analytics major equips students with the skills and knowledge to excel in data-driven decision-making. In today's rapidly evolving business landscape, the ability to harness and interpret data is more crucial than ever. Businesses are increasingly relying on data insights to drive strategy, improve efficiency, and stay ahead of the competition.

Business analytics offers a modern approach to analyzing complex problems and making smart business-related decisions. Through a blend of coursework in statistics, programming, machine learning, and business strategy, students learn to analyze complex datasets, derive actionable insights, and communicate their findings effectively. This program emphasizes practical applications, including data visualization and real-world case studies, ensuring graduates are ready to tackle contemporary business challenges. Students will use state-of-the-art software applications to enhance statistical data analysis.