Department of Quantitative Methods

Return to: Daniels School of Business (Undergraduate)

The Quantitative Methods Department at Purdue University’s Mitch Daniels School of Business sits at the forefront of data-driven decision-making, equipping students to solve complex business problems using advanced analytical tools. The department emphasizes the integration of mathematics, statistics and computational techniques with business strategy, preparing graduates to operate effectively in environments shaped by data, artificial intelligence and rapid technological change.

Faculty in the department are leading researchers across a wide range of quantitative disciplines, including machine learning, optimization, network science and statistical quality control. Their work is published in top academic journals and addresses both theoretical and applied challenges, ensuring that students are exposed to cutting-edge methodologies with real-world relevance. Research areas also include data mining, computational modeling, reliability analysis and game theory, reflecting the department’s interdisciplinary scope and strong connections to fields such as economics, engineering and computer science.

Academic programs emphasize both technical depth and practical application. Undergraduate students engage with quantitative concepts through programs such as Business Analytics and Information

Management, where they develop skills in data analysis, programming and decision modeling. At the doctoral level, the PhD in Quantitative Methods provides rigorous training in statistics, analytics and related disciplines, preparing students for academic and research careers. The curriculum often spans multiple domains, including computer science, economics, and management, reinforcing a multidisciplinary approach.

Experiential learning and industry engagement are central to the department’s mission. Students apply quantitative techniques to real-world challenges through projects, case studies and collaborations with corporate partners. This hands-on approach ensures graduates can translate complex data into actionable insights that drive business performance.

Overall, Purdue’s Department of Quantitative Methods combines rigorous research, interdisciplinary collaboration, and applied learning to develop “bilingual” business leaders - professionals fluent in both advanced analytics and strategic decision-making - who are prepared to lead in a data-centric global economy.

Quantitative Methods Faculty

Courses

• QM 17300 - Data Mining Lab
• QM 17400 - AI & Decision Analytics
• QM 19000 - Freshmen Level Problems In Quantitative Methods
• QM 29000 - Sophomore Level Problems In Quantitative Methods
• QM 30500 - Business Statistics
• QM 30600 - Management Science
• QM 38900 - Using R For Business Analytics
• QM 39000 - Junior Level Problems In Quantitative Methods
• QM 40500 - Six Sigma And Quality Analytics
• QM 47200 - Advanced Spreadsheet Modeling And Simulation
• QM 47300 - Data Mining
• QM 47400 - Predictive Analytics
• QM 47500 - Machine Learning For Business
• QM 47800 - Experiential Project In Analytics
• QM 49000 - Problems In Quantitative Methods

Return to: Daniels School of Business (Undergraduate)