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Quantitative Methods

The Quantitative Methods area at the Mitchell E. Daniels, Jr. 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.

Centers & Organizations


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.

Job Market Candidates

Daniels School of Business PhD students are leading members of the next generation of innovative researchers, scholars and teachers. We are proud to support the next phase of their academic and professional lives.

To obtain additional information on job market candidates, please reach out to the Quantitative Methods area contact below, or contact the candidate directly.

PhD Coordinator
Will Wei Sun
(765) 494-4085

Daniels School of Business Quantitative Methods Area, Management Department
Krannert Building
403 Mitch Daniels Blvd.
West Lafayette, IN 47907-2076

Department Head: Lin Nan

Quantitative Methods Area Coordinator: Yanjun Li