Industrial Engineering

MS with Thesis

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

Industrial Engineering master with thesis program consists of at least 7 courses of at least 21 credits and seminar courses and thesis studies.

Students are required to take at least seven (7) required and elective courses according to their interests and complete at least twenty-one (21) credits and seminar courses by the end of the 4th semester at the latest. Unless stated otherwise, courses are 3 credits. With the approval of their advisors, students can take a maximum of 2 undergraduate courses to provide a basis for graduate courses, and these undergraduate courses can be used to complete the course and credit requirements of the master with thesis program.

In addition to the credit courses, students must complete the non-credit courses; INDR 595 - Master Thesis, INDR 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.


MS 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.