The Quantitative Methods Department at the Mitch Daniels School of Business is dedicated to being one of the nation’s leading hubs of research on business statistics, management science, predictive analysis, six sigma and quality management, data mining, optimization and more. Faculty in the department teach undergraduate, master’s and PhD level courses.
The Krenicki Center for Business Analytics and Machine Learning brings together industry partners, faculty, and students to foster continued collaboration and discovery in the field. Faculty lead students through the development of critical solutions for industry partners.
The Business Analytics and Information Management Student Association promotes continuous outside-the-classroom learning for students in the BAIM undergraduate major. Students have the opportunity to hear from industry professionals and develop their technical skills.
The Data Mine is a residential learning community that prepares students to succeed in today’s data-driven workforce through real-world challenges. Open to all Purdue majors, many business school students participate in the Data Mine's corporate partners program.
Quantitative Methods faculty are leading researchers in statistical quality control and improvement, reliability analysis, network science, machine learning, combinatorial optimization, integer programming and more. Their research has been published in journals such as Mathematical Programming, Mathematics of Operations Research and the SIAM Journal on Optimization.
