The William Davidson Faculty of Industrial Engineering

The Faculty of Industrial Engineering and Management offers programs leading towards advanced degrees in the following areas:

Industrial Engineering

Students on the Industrial Engineering program conduct research in a variety of fields, including: planning and control of production systems, project management, human factors engineering, productivity, supply chain management, learning and forgetting processes, and the use of simulators in employee training.

At the beginning of their academic studies industrial engineering students are required to take courses in quantitative mathematics, alongside courses to improve their knowledge in the subjects mentioned above. The early courses provide students with tools for conducting industrial engineering research, while subsequent courses supply content specific to the research directions in which they choose to specialize. As part of their training, usually after completing the theoretical study stage, students conduct their own research under the supervision of a senior faculty member.

Master’s and doctoral studies in this program are designed to prepare students for roles that have both research and applied industrial aspects. Graduates of the program are unique in their ability to carry out analysis of non-standard problems and to find syntheses for them.

Operations Research and Optimization

The aim of the Operations Research and Systems Analysis program is to train students in methods and applications of operations research in order to meet the growing need of organizations to improve their planning processes and logistical decisions. The program places an emphasis on the study of mathematical methods (in particular optimization methods) and their use in analyzing complex systems, modeling, and solving realistic, deterministic, and stochastic problems.

This track is for students holding a bachelor’s degree in engineering, computer science, economics, mathematics, statistics, and similar subjects.

Information Management Engineering

This program aims to provide technological knowledge and basic research capabilities in information technologies and related subjects. Students on the program conduct research with a technological-engineering orientation or theoretical-algorithmic orientation, as well as research that relates to human users and their capabilities and needs.

Active research fields in the program include information retrieval, natural language processing, systems verification, artificial intelligence, systems engineering, conceptual modeling, databases, and algorithms in distributed systems and connected systems.

The program is for students who hold a bachelor’s degree in information systems engineering, computer science, industrial engineering and management with an information systems specialization, applied mathematics, and related scientific and engineering subjects.

Statistics

The program aims to train students in methodologies and applications of statistics, probability, and stochastic processes.
There are three main areas of focus:

  1. Probability, with an emphasis on the following areas
    • Gaussian processes and random fields
    • Markovian processes
    • Stochastic differential equations
    • Probability models in physics
  2. Stochastic processes and their applications, with an emphasis on the following areas
    • Stochastic service systems
    • Stochastic optimization
    • Stochastic process controls
    • Statistic deduction of stochastic processes
    • Non-standard models in periodic series
  3. Applied statistics
    The program teaches current statistical methods, with an emphasis on application in different fields (industry, economics, behavioral science, medicine, and more). Research assignments relate to a variety of subject areas in statistics, and combine the development of methodologies with their application in practical problems.

Students enjoy a professional connection with the Technion Statistics Laboratory, located in the faculty and which conducts a range of research studies, both in partnership with Technion researchers and on behalf of industry and government bodies.

The program is for students holding bachelor’s and master’s degrees, with a high level of academic achievement, in the natural sciences, engineering, mathematics, or statistics.

Behavioral Science and Management

The master’s degree (and doctoral) program in Behavioral and Management Sciences is suitable for students interested in developing an academic career in organizational psychology, human factors engineering, thinking and decision making, or consumer behavior. The program also fits students interested in working in research and consulting roles within organizations. The program imparts a high level of expertise in applied research.

Available tracks:

  1. Organizational Psychology
  2. Cognitive Psychology and Human Factors Engineering
  3. Behavioral Marketing
  4. Master of Science

The first two tracks are open to outstanding graduates of three-year bachelor’s degree programs in psychology. The behavioral marketing track is open to psychology graduates as well as for graduates of other programs. The Master of Science track allows graduates of other programs to study organizational behavior or human factors engineering.

Studies include theory and methodological tools for researching people’s behaviors, feelings, and decisions in organizational, social, technological, and inter-cultural contexts.

Application forms submitted for advanced degree programs at the Technion must be accompanied by a curriculum vitae and a declaration of intentions. Psychology graduates must also submit their results in the Entrance Test for Advanced Degrees in Psychology (MITAM). Admission to the Behavioral and Management Sciences program is subject to a selection process and personal interview.

 

Economics – Joint Program with the University of Haifa

The aim of the Economics program is to enable students to gain deeper and broader theoretical knowledge in economics, while specializing in particular subjects. The program introduces students to advanced economics research, and program graduates are well placed to work in research settings in both academia and the private sector. The program is jointly administered with the department of economics at the University of Haifa, and confers a joint degree of the two institutions.

The program is for graduates of bachelor’s degree programs in economics, industrial engineering and management, computer science, physics, electrical engineering, or other relevant subjects, from recognized institutions of higher education, who have an average grade score of at least 85. Registration to the program is for the winter semester only.

Specialization in Behavioral Economics (new track)

As part of the MSc in economics we offer a new specialization track in Behavioral Economics. The curriculum in this new specialization track combines classical economics education with new and modern aspects such as social and sentimental factors, cognitive biases, unique psychological traits and bounded rationality. Acceptance criteria to the new track are the same as for the general MSc program. The track requirements are similar to those of the general program apart from the following changes: the courses Macro Economics 1 and 2 are no longer required and the mix of electives is different.

Master’s Program (Non-Thesis) in Industrial Engineering and Management (ME Degree)

This program is designed to allow graduates of bachelor’s degree programs in engineering and science to specialize in industrial engineering and management, across a range of subjects, with an emphasis on applied engineering. Likewise, it aims to encourage industrial engineering and management graduates to continue their studies in the field, or to return to them after several years in industry in order to refresh their knowledge and gain expertise in new fields which may have developed since they completed their studies. Acceptance to the program requires an average grade score of at least 83 in undergraduate studies. The program confers a Master of Engineering degree in industrial engineering and management.

Special Doctoral Program – Direct Track from Bachelor’s Degree

In the fields of industrial engineering and management, operations research, and statistics, there is a special doctoral track proceeding directly from undergraduate studies. The aim of this track is to provide outstanding graduates of engineering faculties with an accelerated path to a doctorate.

Admissions Requirements

The program will be open to students holding a four-year engineering bachelor’s degree from the Technion, or a parallel degree from another recognized academic institution (see below*). All candidates will be assessed according to their academic record and achievements. Generally, students are accepted who have an average grade score of at least 90 in their bachelor’s studies, and in any case not lower than the requirements detailed in the regulations of the Technion Graduate School (paragraph 32.05).

Study Requirements

  1. Subject courses to a total of 50 academic credits, of which
    • 28 credits are from the list of mandatory courses
    • At least 12 additional credits are in one of three specializations.
    • 10 additional credits according to the recommendation of the student’s supervisor.
  2. Thesis
    All students in this track will be required to study full-time at the Technion. They will be eligible for scholarships, and in most cases will also be employed as teaching assistants.

* Graduates of a three-year bachelor’s program who have been awarded a summa cum laude degree may join the doctorate program after first registering for a master’s program. After the first two semesters, during which they will be required to complete all outstanding courses, and a third of the advanced master’s courses, these students may transfer to the doctoral program (see paragraph 24.07).

Further Information

Further Information (regarding all tracks, except for Business Administration)

Secretary of Graduate Studies in Industrial Engineering and Management: Tel: 04-829 4403; Email

Website of the Faculty of Industrial Engineering and Management