Industrial Engineering and Operations Management
PhD
Profitable design and operation of modern industrial systems requires integration of human, material, equipment and financial resources. In recent years this integration has become tighter due to the inclusion of information technology, and resulted in more complex systems. Industrial Engineering research focuses on quantitative analysis, synthesis and management of such complex systems. The affiliated faculty members come from the Industrial Engineering department of the College of Engineering, the Operations and Information Systems group of the College of Administrative Sciences and Economics, and other related fields. Our research areas are diverse, including Logistics, Supply Chain Management, Service Operations, Production Systems, Stochastic Processes, Financial Engineering, Mathematical Programming, Data Mining and Bioinformatics. The programs are built on the basic methodologies of operations research and their applications in manufacturing, distribution and service industries. Graduates of the M.Sc. program have been placed in respectable Ph.D. programs in North America, Europe and Türkiye as well as various professional positions in industry.
Degree Requirements
Applicants can apply to our PhD programs with a BS or MS degree. PhD students admitted with a BS degree must be completed at least 14 courses and 42 credits, as well as the seminar course, by the end of the sixth semester and take the qualifying exam no later than the seventh semester. PhD students admitted with a MS degree must be completed at least 7 courses and 21 credits, as well as the seminar course, by the end of the fourth semester and take the qualifying exam no later than the fifth semester.
In addition to the credit courses, students must complete the non-credit courses; IEOM 695 - PhD Thesis, IEOM 590 Seminar, ETHR 500 - Scientific Research Methods and Research and Publication Ethics, ENGL 500 - Academic Writing, TEAC 500 - Teaching Experience, KOLT 500 -Teaching in Higher Education and LIBR 500 - Library Researcher Development.
Curriculum
All Ph.D. students have to take at least 7 courses out of the courses listed below to complete at least 21 credits. The students who are accepted only with a B.S. have to take at least 7 additional courses to earn at least 21 additional credits.
The curriculum of each student will be determined by his/her program advisor. All courses have 3 credits unless specified.
Students with a B.S. or M.S. degree in Industial Engineering, Business Administration, Economics and Mathematics or any related area can apply to the Ph.D. program in IEOM.
The following courses are required for Ph.D. students:
INDR 551 Advanced Optimization Methods
INDR 553 Advanced Stochastic Methods Depending on their background, students might be asked to take the required courses of the “M.S. in Industrial Engineering” program in addition to the following courses:
INDR 501 Optimization Models and Algorithms
INDR 503 Stochastic Models and Their Applications
Moreover, Ph.D. students can take any of the courses listed under the “M.S. in Industrial Engineering” program in addition to the following courses: INDR 560 Large Scale Optimization
INDR 564 Dynamic Programming
INDR 570 Queueing Theory
INDR 572 Reliability Theory
INDR 574 Stochastic Models in Financial Engineering
INDR 576 Inventory Control Theory
MATH 503 Applied Mathematics
MATH 504 Numerical Methods I
MATH 506 Numerical Methods II
MATH 531 Real Analysis I **
MATH 532 Real Analysis II **
MATH 544 Stochastic Processes and Martingales **
MATH 545 Mathematics of Finance **
MECH 531 Modern Control Systems
MECH 534 Computer Based Simulation and Modeling
MECH 543 Computer Integrated Manufacturing and Automation
CMSE 501 Introduction to Computational Science **
These courses are 4 credits.
