IEOR Course Listing

See the full IEOR course listing and schedule.

Core Courses

All first year doctoral students are required to take four foundational courses in the following sequence:

Fall
IEOR E6613: Optimization I (4.5 credits)
IEOR E6711: Stochastic Models I (4.5 credits)

Spring
IEOR E6614: Optimization II (4.5 credits)
IEOR E6712: Stochastic Models II (4.5 credits)

The department strongly encourages those students with limited algorithmic training to take CSOR W4231.
 

Depth and Breadth Requirements

In addition to these 4 core courses, each PhD student must take 4 additional PhD level courses (possibly in other departments) during the course of the PhD. Research credits (IEOR E9101) do not count towards this requirement. It is important to select courses you find interesting while considering your background and in consultation  with your academic advisor. Students can consider courses from other Departments including Mathematics, Computer Science, Statistics, Economics, and Decision Risk and Operations.

A complete listing of courses can be found through the Directory of Classes.

Ph.D. Specialization in Data Science - The Ph.D. specialization in Data Science is an option within each participating department's Ph.D program. To participate, students should fulfill the requirements below in addition to those of their respective department's Ph.D. program. Students should discuss this specialization option with their Ph.D. advisor and their department's director for graduate studies. Further questions about the specialization requirements should be directed to the Director of the PhD program. The details of the requirements to fulfill this concentration can be found here:  https://datascience.columbia.edu/phd-specialization-in-data-science