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PhD in MANAGEMENT

quantitative methods

The Quantitative Methods Ph.D. program prepares students to become leading scholars in data-driven decision making. Students are closely mentored to develop strong quantitative skills while addressing impactful problems in business, economics, and interdisciplinary domains.

Our faculty conduct world-class research in artificial intelligence, business analytics, machine learning, market design, optimization, and statistics. Their work regularly appears in top journals such as Management Science, Operations Research, Annals of Statistics, Journal of the American Statistical Association, Mathematical Programming, Mathematics of Operations Research, and SIAM Journal on Optimization.

A key strength of our program is the highly collaborative research culture. Ph.D. students benefit from rich cross-campus linkages with the College of Engineering, the Department of Computer Science, and the Department of Statistics, enabling them to pursue cutting-edge research at the intersection of analytics, AI, and decision sciences. The small cohort size ensures a low student-to-faculty ratio and a personalized training environment that supports early research engagement and long-term scholarly development.

Quantitative Methods at Purdue

The Quantitative Methods Ph.D. program at Purdue University’s Daniels School of Business prepares students to become leading scholars in data-driven decision making. Our faculty conduct world-class research in business analytics, machine learning, market design, optimization, and statistics. Their work regularly appears in top journals such as Management Science, Operations Research, Annals of Statistics, Journal of the American Statistical Association, Mathematical Programming, Mathematics of Operations Research, and SIAM Journal on Optimization. Students are closely mentored to develop strong methodological skills while addressing impactful problems in business, economics, and interdisciplinary domains.

Two PHD Students in Conversation

Quantitative Methods at Purdue

The Daniels School offers a unique ecosystem connecting academic research with business applications. The Krenicki Center for Business Analytics and Machine Learning provides students opportunities to work with industry partners on real-world data science and machine learning problems, translating advanced quantitative techniques into insights that drive business innovation. Together with Purdue’s highly ranked analytics programs and strong placement outcomes, our Quantitative Methods Ph.D. graduates are exceptionally well prepared for research-oriented academic careers as well as analytical leadership roles in industry.

Purdue University Advantage

As a land-grant, research-1 university with science, technology and engineering in its DNA, Purdue provides the resources of a world-class institution and a commitment to accessible, high-impact education. At the Daniels School of Business, this means pairing rigorous research training with a supportive community — ensuring our doctoral students have the mentorship, tools, and momentum to thrive as scholars.

Two PHD students in conversation

Campus Connections

Purdue will place you in the heart of one of the nation’s most spirited college towns. You’ll enjoy the energy of a Big Ten campus alongside the ease and affordability of a community with a low cost of living. With Chicago and Indianapolis just a short drive away, you’ll experience an ideal balance of focus, accessibility, and conditions that support a positive doctoral journey.

Aerial shot of campus

Campus Connections

Purdue will place you in the heart of one of the nation’s most spirited college towns. You’ll enjoy the energy of a Big Ten campus alongside the ease and affordability of a community with a low cost of living. With Chicago and Indianapolis just a short drive away, you’ll experience an ideal balance of focus, accessibility, and conditions that support a positive doctoral journey.

Research Topic Areas

  • Artificial Intelligence
  • Business Analytics
  • Causal Inference
  • Data-Driven Decision Making
  • Game Theory
  • High-Dimensional Statistics
  • Machine Learning
  • Mathematical Programming
  • Market Design
  • Optimal Transport
  • Optimization
  • Reinforcement Learning
  • Statistical Inference
  • Tensor Methods
  • Online Tensor Inference
    Xin Wen , Will Wei Sun , Yichen Zhang
    Published Online: 9 Feb 2026
    Operations Research
    https://pubsonline.informs.org/doi/10.1287/opre.2024.0774
  • Online Statistical Inference for Matrix Contextual Bandit.
    Qiyu Han, Will Wei Sun, and Yichen Zhang
    Annals of Statistics, 2025.
  • Convexification techniques for fractional programs
    Taotao He, Siyue Liu & Mohit Tawarmalani
    Mathematical Programming, 2025
    https://link.springer.com/article/10.1007/s10107-024-02131-x
  • A Few Good Choices
    Haoyu Song, Thanh Nguyen, Young-San Lin
    SODA 2026
    https://www.siam.org/conferences-events/siam-conferences/soda26/program/accepted-papers/
  • Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model
    Billy Jin, Will Ma.
    Management Science, 2026
    Neural Information Processing Systems (NeurIPS) 2022.
    https://arxiv.org/abs/2206.11397
  • Geometry of vectorial martingale optimal transportations and duality
    Tongseok Lim
    Mathematical Programming, 2024
  • Hub detection in Gaussian Graphical Models.
    José Á. Sánchez Gómez, Weibin Mo, Junlong Zhao, Yufeng Liu
    Journal of the American Statistical Association, 2026.
  • Clustering High-Dimensional Noisy Categorical Data.
    Zhiyi Tian, Jiaming Xu, Jen Tang
    Journal of the American Statistical Association, 2025
  • Composing Optimized Stepsize Schedules for Gradient Descent
    Benjamin Grimmer, Kevin Shu, Alex L. Wang
    Published Online: 4 Nov 2025
    Mathematics of Operations Research

The Quantitative Methods Ph.D. Program at Purdue provided me with rigorous training in statistical theory and methodology that laid a strong foundation for my career. The program's emphasis on interdisciplinary collaboration and mentorship prepared me to tackle complex research problems with confidence. The faculty's support and the program's intellectual environment played a critical role in shaping my development as a researcher.”

Pangpang Liu

Postdoctoral Assistant - Yale University

Graduates of Purdue's Quantitative Methods PhD program over the years have gone on to secure research-focused faculty and industry positions at the following institutions and organizations: 

  • Central Bank of Brazil
  • Cummins, Inc
  • JP Morgan Chase 7 Co
  • Sam's Club
  • Sejong University
  • University of North Carolina Pembroke
  • University of South Alabama
  • University of Western Ontario
  • Walmart Lab
  • Yale University (Postdoc)
  • Yuan Ze University

Curriculum

Program Requirements:

For detailed descriptions of the courses, please visit Purdue’s online Course Catalog.

  • Coursework - Quantitative Methods Sminar, Research Courses in Quantitative Methods and Related Departments, and General Managerial Skills
  • First Year Evaluation (Summer)
  • Coursework - Quantitative Methods Seminar, Research Courses in Quantitative Methods and Related Departments
  • Submit Plan of Study (End of Spring semester)
  • Preliminary Examination (Summer)
  • Choose a primary advisor
  • Defend Dissertation Proposal by the end of year 3
  • Advance own research and research with faculty co-authors
  • Defend Dissertation
Will Wei Sun

Get In Touch

If you have questions about doctoral study in Quantitative Methods, feel free to contact our PhD Coordinator, Dr. Wei Sun, at sun244@purdue.edu.

For questions about the admissions process or other PhD programs at the Daniels School of Business, email businessphd@purdue.edu and an Admissions Specialist will connect you with the appropriate department representative.

businessphd@purdue.edu

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