MSOR Curriculum
MSOR is a 30-point STEM program on a full- or part-time basis. Students may start in the Fall or Spring. There are eight concentrations: (1) Analytics; (2) Decision, Risk, and Analysis; (3) Entrepreneurship and Innovation; (4) Finance and Management; (5) Healthcare Management (6) Logistics and Supply Chain Management; (7) Machine Learning and Artificial Intelligence and (8) Optimization.
To facilitate with academic programming, students should complete a program plan to be reviewed by their advisor. All courses are for 3 credits, unless stated otherwise.
Required Core
IEORE4199 MS IEOR Quantitative Bootcamp (zero-credit; First term)
IEORE4004 Optimization Models and Methods (First term)
IEORE4150 Introduction to Probability and Statistics (First term)
IEORE4106 Stochastic Models (Second term)
IEORE4404 Simulation
ENGIE4000 Professional Development and Leadership (zero-credit)
Required Electives
Students must take at least 18 points of graduate work in the IEOR Department (ie, courses with the following prefixes: IEOR, CSOR, ECIE, SIEO) and at least 30 at Columbia. Students can also take electives from various schools, such as Columbia Business School, the School of International and Public Affairs, the Graduate School of Arts and Sciences, and the Law School. Courses taken from the School of Professional Studies will not be counted towards your degree (ie, courses with the following prefixes: ACTU, BUSI, COPR, IKNS, SUMA, FUND, and more).
The department requires students to achieve grades of B- or higher in each of the core courses (IEOR E4150/STAT GU4001, IEOR E4004, IEOR E4106 and IEOR E4404). Poor performance in these courses indicates inadequate preparation and is likely to lead to serious problems in completing the program. Students must also maintain a cumulative GPA of B- or higher during every term, or they may be asked to withdraw from the program.