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Master of Science in Industrial Engineering

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 are available from the following link:
Information for the MS students (In Turkish)

:: 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 578 Graduate Seminar I
  • IE 505 Stochastic Processes and Applications
  • IE 508 Statistical Inference
  • IE 579 Graduate Seminar II

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 530 Mathematical Modeling
  IE 544 Decision Analysis
  IE 550 Dynamics of Socio-Economic Systems
  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 54X Manufacturing Systems Engineering
  IE 593 Sp. Topics in Engineering of Human Work
  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 593 Sp. Topics in Engineering of Human Work
  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.





© 2008 Boğaziçi University | Department of Industrial Engineering
Designed by Özgür Emre Sivrikaya (IE sophomore student)