The program is given in Hebrew
The goal of the graduate program in industrial engineering is to enable graduates in this subject and in other engineering and scientific subjects to expand and update their knowledge. The program is designed to provide students with a broad theoretical background and with deeper knowledge of various industrial engineering topics on which they choose to focus. Students who complete the program will be awarded a Master of Science (MS) degree. The program is for students with a good standard of academic achievement seeking to complete a research thesis in industrial engineering. Students with an outstanding academic record and proven research abilities may apply for doctoral studies (PhD).
The Faculty encourages interdisciplinary research and cross-field cooperation. A student from any study field may choose an academic supervisor from the faculty staff.
- Artificial Intelligence (neural networks, computational learning, natural language processing…)
- Electronic Markets and Electronic Commerce
- Viral Processes (viral, ideas..) in human or computer communities
- Cognitive Robots (artificial intelligence and robotics)
- Game Theory and Decision Making
- Software Engineering (complex systems modeling and analysis)
- Knowledge and Data (information) Management
- Mathematical Logic and program verification
- Probability and Stochastic Processes
- Service Engineering (queue systems in hospitals, banks etc.)
- Data-based Operation Research
- Efficient Optimization
- Behavioral Economics
- Marketing and Strategic Theories
- Supply Chain in Dynamic and Multi-data environment.
- Various subjects in Information and Data Science.
- Network algorithms
- Distributed algorithms
- Self stabilizing systems
- Optimization in the face of uncertainty
- Network security and fault tolerance
Curriculum
Courses
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List of Prerequisite Courses
| Course Number | Course Name | Credit Points |
|---|---|---|
| 94139 | Managenig Logistic Systems | 3.5 |
| 94344 | Discrete Mathematics | 3.0 |
| 94142 | Operation of Production Service Systems | 3.5 |
| 94313 | Deterministic Models in Oper.Research | 3.5 |
| 94314 | Stochastic Models in Oper.Research | 3.5 |
| 94334 | Digital Simulation | 2.5 |
| 95140 | Project Planning and Management | 3.5 |
Fields of Study for the Master’s Degree in Industrial Engineering
Students are offered a training track based on 20 course credits and 20 credits for the research study (thesis). The courses are divided into four groups:
-
List A:
Required subjects. Credits required – 3.0
-
List B:
Quantitative Tools. At least 8.0 credits are required (3 courses).
-
List C:
Basic courses in industrial engineering. At least 7.0 credits required (2 courses).
-
List D:
Elective courses. A student will select courses from this list, so that together with the courses from lists A, B and C the student will accumulate at least 20 credits. In the event that the permanent advisor recommends additional training that is needed to conduct the research study – the student will be required to study one or two more courses beyond the 20 credits.
- Students who studied courses from one of the lists as part of their bachelor degree studies will study other courses from that list or will study other courses based on the recommendation and advance authorization of their advisor and the Area Head.
-
List A:
Required Courses. 3.0 credits are required.
| Course Number | Course Name | Credit Points |
|---|---|---|
| 98409 | Graduate Seminar | 0.0 |
| 98113 | Research Seminar in Industrial Engineering | 3 |
-
List B:
Quantitative Tools. At least 8.0 credits are required (3 courses).
The student is required to study at least one course from each of the three lists below:
| Course Number | Course Name | Credit Points |
|---|---|---|
| 96310 | Applied Stochastic Processes
OR Stochastic Processes |
2.5
3.5 |
| 96327 | Nonlinear Models in Operations Research
OR Optimization 1 |
3.5
3.5 |
| 96320 | Advanced Methods in Simulation Systems
OR Design and Analysis of Experiments OR Non-Cooperative Games |
2.5
2.5 3.5 |
List C:
Basic courses in Industrial Engineering. At least 7.0 credits are required (2 courses).
| Course Number | Course Name | Credit Points |
|---|---|---|
| 96324 | Service Engineering | 3.5 |
| 96326 | Introduction to Scheduling | 3.5 |
| 96120 | Quality Engineering | 3.5 |
| 97139 | Advanced Supply Chain Management | 3.5 |
| 97140 | Advanced Project Management Techniques | 3.5 |
| 97136 | Ability Testing in Interactive Systems | 3.5 |
List D:
Elective Courses
An elective course is any course that appears at the beginning of each semester on the industrial engineering list, including courses on lists B and C. Moreover, if it is beneficial to the research study, these courses may be replaced by other courses, based on the recommendation of the advisor and with the advance authorization of the Industrial Engineering Area Head.
Research Thesis
After being accepted to the Industrial Engineering Master’s Program, each student will be assigned a temporary advisor. The advisor will be the student’s contact point on all academic matters related to the program including approving the student’s course schedule.
During the time allotted by the Graduate School, students are required to make contact with a potential permanent advisor, who will typically be a member of the Industrial Engineering Area. Students who prefer to be supervised by someone else should contact the Industrial Engineering Area Head, Prof. Herer.
Under the guidance of the potential permanent advisor, the student will prepare a research proposal (maximum ten pages) to be submitted for approval. Once approved, the potential permanent advisor will become the permanent advisor.
Final Submitting of the Thesis
The thesis must be submitted approximately 24 months after commencement of studies. The thesis must be written in the research article format (preferably in English; however, it can also be written in Hebrew). For further information.
Useful sources for the thesis stage
- Additional instructions regarding submitting the thesis appear on the Graduate School website.
Selecting an Advisor
The Permanent Advisor
It is advisable to find a permanent advisor during the first year of studies, preferably during the first semester. In order to find an advisor, the student should examine the research fields of the faculty members as indicated by the advanced courses that they teach, their websites, and discussions with the faculty members.
List of the area’s supervisors.
| Name | Fields of Occupation |
|---|---|
| Prof. Boaz Golany | Production and inventory planning, efficiency and productivity analysis, plant system and location planning, project management, resource allocation under uncertainty conditions |
| Prof. Yale T. Herer | Supply chain canagement (particularly with lateral transfers), inventory systems, and production systems. |
| Prof. Galit Yom Tov | Service system engineering (Building stochastic models for the analysis and operation of service systems, statistical analysis of service system data for better understanding of their dynamics), optimization of health systems, dynamic control of production and service systems. |
| Prof. Eitan Naveh Tov | Quality and Innovation, Patient safety and medical treatment errors |
| Prof. Erez Karpas | Artificial Intelligence, Robotics, Automatic planningת Smart Manufacturing | Prof. Avi Parosh | Human factor and cognitive engineering, design and testing of the human-computer interaction and the user experience, design and evaluation of the team work in complex and difficult situations, development and assessment of simulator based learning. |
| Prof. Avi Shtub | Project management, operations management, ERP Systems, human-computer interfaces, learning and forgetfulness |
