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Charlie Hannigan

  • Assistant Professor of Clinical Data Sciences and Operations

Charlie Hannigan is an Assistant Professor of Clinical Data Sciences and Operations at the USC Marshall School of Business. Before joining USC, Charlie completed his B.S. in Mathematics at the University of Texas at Dallas. He then studied at the University of Chicago Booth School of Business, completing his MBA and Ph.D. in Management Science and Operations Management with a concentration in Economics.

Charlie researches criminal justice systems, applying tools in the field of operations to make them more just. He is interested in classification algorithms for partially unlabeled data, customer utility in queueing systems, and incentive design in complex queueing systems.

Charlie teaches both undergraduates and MBA students at the Marshall School of Business. He also developed and teaches the Business Analytics course for USC Summer Programs, which hosts pre-college students on campus for an intensive month-long college course for credit. While teaching, Charlie focuses on helping students who are uncomfortable with mathematics develop mastery over difficult quantitative material. He received USC Marshall’s Golden Apple Teaching Award in 2024.

Charlie Hannigan
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Departments

Data Sciences + Operations

NEWS + EVENTS

COURSES

Spring 2024
  • BUAD-311
    Operations Management
    Fundamentals of operations management. Skills needed to analyze, manage, and improve business processes. Topics include: process, capacity, service, and inventory management and optimization. (Duplicates credit in BUAD 313 and BUAD 315x.)
  • BUAD-310
    Applied Business Statistics
    Statistical methods for business analysis; data exploration and description; sampling distributions; estimation; hypothesis testing, simple and multiple regression; model building. Extensive computer applications. (Duplicates credit in BUAD 312 and the former ITP 251.)
Fall 2023
  • BUAD-310
    Applied Business Statistics
    Statistical methods for business analysis; data exploration and description; sampling distributions; estimation; hypothesis testing, simple and multiple regression; model building. Extensive computer applications. (Duplicates credit in BUAD 312 and the former ITP 251.)
  • GSBA-537
    Managing Inside the Firm
    Thematic exploration of managerial accounting, employment law, operations management and organizational behavior. Application of analytics and communication to optimize internal operations.