Ph.D. in Industrial Engineering

The Ph.D. program in Industrial Engineering offers an intensive curriculum that prepares students for a career as a scholar in Industrial Engineering (IE) and Operational Research (OR) who are able to conduct independent research. The program consists of three major components. (1) Completing coursework that advances knowledge in IE & OR (2) Taking the Ph.D. qualifying exam, which tests the students’ fundamental knowledge in the area and their scientific maturity. (3) Preparing a Ph.D. thesis, significant and original research in the area.

Course Code   
Course Title   
  METU Credit 
  Contact (h/w) 
  Lab (h/w) 
  ECTS Credit 
IE554 DISCRETE OPTIMIZATION 3 3 0 8.0
  or IE555 NONLINEAR OPTIMIZATION 3 3 0 8.0
IE562 STOCHASTIC PROCESSES II 3 3 0 8.0
  or IE566 THE DESIGN AND ANALYSIS OF EXPERIMENTS 3 3 0 8.0
  or IE568 STATISTICAL APPLICATIONS IN ENGINEERING 3 3 0 8.0
IE600 PH.D. THESIS 0 0 0 130.0
IE690 RESEARCH TOPICS 3 3 0 8.0
  or OR690 RESEARCH TOPICS IN O.R. 3 3 0 8.0
IE691 SEMINAR FOR PH.D. STUDENTS 0 0 2 10.0
  or OR691 SEMINAR FOR PH.D. STUDENTS 0 0 2 10.0
IE746 RESEARCH METHODS AND ETHICS IN INDUSTRIAL ENGINEERING 0 0 0 10.0

5 elective courses approved by the Department of Industrial Engineering.
Minimum total credit: 24
Minimum number of courses with credit: 8

Deficiency program for students from other disciplines
The deficiency program is customized based on every student's needs. This program includes IE553 LINEAR OPTIMIZATION and IE561 STOCHASTIC PROCESSES I, if the student has not taken these or equivalent courses before.