The analytics concentration within the operations research program seeks to train students to leverage advanced quantitative models, algorithms, and data for making actionable decisions to improve business operations. Examples include staffing and scheduling at hospitals, ride matching and pricing for on-demand car services, personalized promotions in online retail, and smarter energy consumption. Students are provided with a rigorous exposure to optimization and stochastic modeling, as well as machine learning and data analysis tools for predictive modeling and prescriptive analytics.  Electives in the areas of healthcare, marketing, transportation, deep learning, and many others further enrich students with domain expertise, and provide many opportunities to work directly with data on real-world problems.

BSOR:A Application

The Columbia Office of Undergraduate Admissions oversees all aspects of undergraduate admission for the University.

IEOR Course Listing

See full IEOR course listing and schedule.


Undergraduates are strongly recommended to follow the sequence of courses as outlined in the SEAS Bulletin.