Masters Program

The Department awards the degree of "Master of Science in Industrial Engineering" to eligible students who complete 24 credits in coursework and successfully defend a thesis.

Students with B.S. or B.A. degrees in Industrial Engineering or a related field can apply to the M.S. program. They are required to have at least 2.50/4.00 grade point average and to be in the top 10% or higher percentile in the Academic Staff and Graduate Education Test (ALES), or Graduate Record Examination (GRE). Applicants who pass the English proficiency test administered by Boğaziçi University, or TOEFL, or IELTS start the graduate program. Also a limited number of the students, who cannot prove English proficiency, are accepted to the English preparation class.

Rules and regulations for the M.S. program have recently changed. We will provide more information once the Senate approves new regulations.

Degree Requirements

The Master of Science program in Industrial Engineering comprises a minimum of 24 credits of course work and a thesis. The students with IE background are expected to complete the course work in two semesters, whereas the students with a non-IE background are allowed to extend their course work to three semesters since they are required to take remedial courses . The student has a maximum of 4 semesters to complete the coursework with a grade point average of 3.00, and a maximum of 6 semesters to complete the M.S. program.

All students are required to take:

IE 501 Optimization Techniques 1
IE 505 Stochastic Processes and Applications
IE 508 Statistical Inference
IE 579 Graduate Seminar

Students with non-IE backgrounds should first complete the basic industrial engineering courses that are recommended by their advisors in their first term. This remedial term may consist of the courses such as, Operations Research, Engineering Economics, Systems Simulation, Probability for Industrial Engineers, Statistics for Industrial Engineers, Supply Chain Management, and Facilities Design & Planning.

Students choose the elective courses in accordance with their research interests. The specific interest areas in the graduate program include Operations Research, Manufacturing/Production, Systems Modeling, and Financial Engineering. When a student has completed the coursework, the thesis advisor supervises the student in writing an M.S. thesis.

:: Foundation Courses

	IE 502 Optimization Techniques II
	IE 506 Statistical Data Analysis
	IE 510 Simulation Modeling
	IE 514 Nonlinear Programming
	IE 515 Graphs and Network Flows
	IE 516 Combinatorial Optimization
	IE 517 Heuristic Methods in Optimization
	IE 518 Advanced Graph Theory
	IE 530 Mathematical Modeling
	IE 544 Decision Analysis
	IE 550 Dynamics of Socio-Economic Systems
	IE 565 Work Performance Engineering
	IE 605 Advanced Stochastic Processes
	IE 608 Mathematical Statistics
	IE 611 Integer Programming
	IE 612 Dynamic Programming
	IE 613 Large Scale Programming
	IE 625 Queuing Theory
	IE 642 Markovian Decision Processes

:: Manufacturing/Production

	IE 520 Quality Management
	IE 523 Design of Production Systems
	IE 524 Planning of Production Systems
	IE 542 Manufacturing Information Systems
	IE 546 Competitive Models in Supply Chain Management
	IE 548 Stochastic Models for Manufacturing Systems
	IE 54X Manufacturing Systems Engineering
	IE 565 Work Performance Engineering
	IE 597 Sp. Topics in Industrial Ergonomics
	IE 621 Inventory Control Theory
	IE 622 Reliability Theory & Applications
	IE 624 Scheduling and Sequencing
	IE 628 Advanced Production Systems

:: Systems Modeling and Analysis

	IE 510 Simulation Modeling
	IE 530 Mathematical Modeling
	IE 533 Systems Theory
	IE 544 Decision Analysis
	IE 550 Dynamics of Socio-Economic Systems
	IE 565 Work Performance Engineering
	IE 597 Sp. Topics in Industrial Ergonomics
	IE 602 Dynamic Systems Modelling and Analysis
	IE 621 Inventory Control Theory

:: Financial Engineering

	AD 516 Derivative Securities and Markets
	AD 517 Investment Analysis and Portfolio Management
	AD 570 Topics in Financial Management and Accounting
	IE 510 Simulation Modeling
	IE 534 Stochastic Models in Finance
	IE 536 Computational Methods in Finance
	IE 586 Quantitative Finance
	IE 590 Econometric Modeling of Financial Time Series
	IE 591 Introduction to Financial Engineering
	IE 593 Cases in Financial Engineering

:: Non-thesis Graduate Programs

The Department supports the following non-thesis inter-disciplinary graduate programs.