Purdue University

Quantitative Methods and Management Science PhD Area of the Management Program - Master


Yue-Kong Pao Hall of Visual & Performing Arts

Krannert Center, Suite 104; 425 W. State Street

West Lafayette, IN 47907

United States





Program Information

Degrees Offered:

Quantitative Methods and Management Science PhD Area of the Management Program - Master

Format: Campus

Program Description:

Quantitative Methods involves topics in both applied optimization and applied statistics. Applied optimization explores resource allocation issues that frequently arise in managerial decision making. In an era of dwindling resources and increasing competition, optimization questions have assumed a new and urgent importance. Doctoral seminars focus on advanced optimization applications and methodologies. Related courses are available from areas such as industrial and electrical engineering and computer sciences. Faculty collaboration with other areas of management and related engineering programs enables students to participate in research on a stimulating range of optimization applications. Current areas of faculty interest in applied optimization include transportation, communication, distribution, and manufacturing systems. Other application domains include auditing, scheduling and quality control. Statistics and its applications address managerial problems in which randomness or uncertainty complicates the decision environment. This specialization emphasizes in-depth study of the relevant methodology with the flexibility to apply these methods to any areas of management. Courses from departments such as economics, statistics, and industrial engineering as well as other areas of management offers students a rich variety of topics for applied statistics research. Current faculty research interests in applied statistics include data mining, reliability theory, stochastic marketing models, auditing and acceptance sampling, statistical decision theory, and statistical quality and process control. Probabilistic and stochastic modeling and applications concentrate on quantifying the effects of uncertainty in managerial decision making. Stochastic models play an important role in understanding and analyzing many complex business processes. Students are encouraged to take courses from several other departments such as industrial engineering and statistics research


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Facts & Figures

Classification: Doctoral/Research University—Extensive

Locale: Midsize Suburb

Size & Settings: 40,000+

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