About the Masterclass
Join this Masterclass and hear from the faculty director at the University of Minnesota - Carlson School of Management about the exciting new focus on AI in their Business Analytics program. Participate in an AI-focused mock class with one of their esteemed professors and discover the unique opportunities the program offers to enhance your career prospects. Don’t miss this chance to gain valuable insights into the transformative potential of studying at the Carlson School of Management.
Attend this session to get insights about Admissions, Eligibility, AI-related Programs, Funding, Scholarships, Careers & much more!
Attend this session to get insights about Admissions, Eligibility, AI-related Programs, Funding, Scholarships, Careers & much more!
About the speaker
Dr. De Liu
Academic Director
MS in Business Analytics
De Liu is a Xian Dong Eric Jing Professor of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His research interests include AI and Augmented Intelligence, gamification, and online social platforms with a focus on how human-technology interaction designs affect engagement and outcomes. He is the academic director for the MS in Business Analytics (MSBA) program at the Carlson School and teaches analytics and information systems courses at undergraduate, master, and PhD levels.
Prof. Mochen Yang
Associate Professor
Information and Decision Sciences
Mochen Yang is an Associate Professor in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota. His research interests include the "make" and "use" aspects of algorithmic decision-making, where he designs algorithms to support decision-making in information-intensive environments and examines the antecedents of algorithmic reliance as well as its impact on decision quality, fairness, and privacy. He teaches business analytics and machine learning related topics at the graduate and executive levels.
If you have any questions, please reach out to our team at
+91 85916 24998