M.S. in Industrial Engineering

M.S. Program through courses and thesis aims to provide advanced level of knowledge in the field as well as tools and techniques of research with their implementation within the context of a comprehensive thesis.

Course Code   Course Name   METU Credit 
  Contact (h/w) 
  Lab (h/w) 
  ECTS Credit 
IE500   M.S. THESIS 0 0 0 50.0
IE553   LINEAR OPTIMIZATION 3 3 0 8.0
IE561     STOCHASTIC PROCESSES I 3 3 0 8.0
IE590   GRADUATE SEMINAR 0 0 2 10.0
  or OR590   GRADUATE SEMINAR 0 0 2 10.0
CEIT725*   RESEARCH METHODS AND ETHICS 0 0 0 10.0

5 elective courses approved by the Department of Industrial Engineering.
Minimum total credit: 21
Minimum number of courses with credit: 7
   *Required only for students enrolled in Fall 2016-2017 or later.

Deficiency Courses for Non-IEs
IE251 Linear Programming
IE252 Network Flows and Integer Programming
IE265 Introduction to Probability
IE323 Production and Service Operations Planning I
    Two of the following courses:
IE266 Engineering Statistics
IE324 Production and Service Operations Planning II
IE372 Simulation