About
Are you interested in contributing to the progress of science and technology and developing new solutions to existing challenges and problems in academia and industry? In an era of technological and business innovation, a master’s degree in Industrial Engineering and Management will provide you with a broad theoretical background and enable you to delve deeper into advanced research and develop new tools and methods in the fields of industrial engineering of your choice.
Master’s studies in Industrial Engineering and Management are intended for students with good achievements, who have a B.Sc. in this field and or in other engineering and scientific subjects, and who wish to carry out research (a research thesis) in this field.
The degree conferred is an M.Sc. in Industrial Engineering.
Admission
Essential requirements:
B.Sc. in Engineering from the Technion with a cumulative average grade of at least 86, or:
B.Sc. in Engineering from higher education institutions (of a level equivalent to the Technion) with a cumulative average grade of at least 86.
Supplementary Courses
Students with a four-year degree who are not graduates of the faculty will be required to complete studies according to the list of compulsory supplementary courses below. The supplementary courses for the program are based on courses given as part of undergraduate studies (B.Sc.) in the Faculty of Data and Decision Sciences.
You must achieve an average of at least 80 in these subjects and a minimum of 78 in all subjects.
Exemption from supplementary courses
Exemption from supplementary courses for students will be considered by the Vice Dean for Graduate Studies according to the students’ academic background and according to the study requirements.
Candidates who studied an equivalent or overlapping subject as part of their B.Sc. and achieved an adequate level in it (equivalent to the Technion) will be able to apply for exemption from studies in the subject in question.
List of compulsory supplementary courses
| Course Number | Course Name | Pts. |
| 00940313 | Deterministic Models in Operations Research | 3.5 |
| 00940314 | Stochastic Models in Operations Research | 3.5 |
| 00940345[1] | Discrete Mathematics (for I.e) | 4.0 |
Who the Studies Suitable For
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Graduates with a B.Sc. in Industrial Engineering and Management or in Other Engineering and Scientific Disciplines
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Graduates Interested in Research
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Graduates Interested in Researching and Developing New Solutions for Technological and Managerial Challenges
Fields of Study
The program offers a training course, which is based on studying 20 credit points of courses from the program, 2 credits of an English course for graduate students {link}, 20 credits for a research paper (thesis) and a research ethics course.
The subjects are divided into:
- Compulsory subjects
- Elective subjects, which are studied in the Faculty of Data and Decision Sciences (except for MBA courses) and which have been authorized by the advisor
If beneficial to the research, subjects of a similar level can be requested from other faculties according to the advisor’s recommendation and prior authorization by the Vice Dean for Graduate Studies.
Compulsory courses:
| Course Number | Course Name | Pts. |
| 00960324* | Service Engineering | 3.5 |
| 00960327** | Nonlinear Models in Operations Research | 3.5 |
* Course 00960324 can be replaced by 00980413
** Course 00980311 can be replaced by 00960327
Example elective courses:
Foundations and Applications of Artificial Intelligence
Intelligent Interactive Systems
Environmental Economics
Game Theory and Economic Behavior
Introduction to Human Factors Engineering
Social Ventures
Seminar in Natural Language Processing
Research Paper (thesis)
The master’s program in Industrial Engineering and Management requires writing a thesis. Any thesis topic will be presented at a preliminary stage as a research proposal and will be submitted for consideration by the faculty members. The thesis will be written under the guidance of a responsible advisor who will sign the research proposal.
Students with particularly good achievements who have proven research ability can apply for doctoral (Ph.D.) studies.