The William Davidson Faculty of Industrial Engineering & Management
An academic faculty of the Technion that developed Israel’s interdisciplinary tradition of industrial engineering, management, data, and decision sciences.
Last updated August 25, 2026
AI crawler reads
No AI crawler has read this profile since Oct 28, 2026.
Overview
The William Davidson Faculty of Industrial Engineering & Management was an academic faculty of the Technion – Israel Institute of Technology and is the institutional subject historically associated with the Technion’s industrial engineering and management discipline. The unit was launched in 1958 and became one of Israel’s earliest and most substantial academic centers combining engineering, management, quantitative analysis, economics, behavioral science, and information systems. The faculty was established under the leadership of Professor Pinchas Naor, who served as its founding dean. Naor’s central institutional idea was to avoid treating industrial engineering as an isolated technical discipline or management as a subject confined to a conventional business school. Instead, he sought to build a broad, multidisciplinary unit capable of moving between applied engineering, mathematical modeling, operations research, statistics, economics, organizational behavior, and managerial practice. This structure was intended to support both the development of Israel’s industrial economy and the training of researchers and managers able to work across technical and organizational boundaries. Historically, the faculty’s academic portfolio included undergraduate and graduate education in industrial engineering and management, information systems engineering, data science and engineering, economics and finance, operations research and systems analysis, behavioral science and management, industrial engineering, and business administration. Its programs addressed both the design and operation of technical systems and the human, financial, informational, and organizational conditions in which those systems function. Areas of study included manufacturing and service systems, enterprise information systems, databases, algorithms, artificial intelligence, software and systems engineering, supply chains, project management, service engineering, human factors, industrial psychology, labor relations, personnel management, and quantitative economics. At undergraduate level, the traditional industrial engineering and management program offered study paths related to manufacturing and services systems engineering, enterprise information systems engineering, and economics. The faculty also offered dedicated undergraduate routes in information systems engineering and data science and engineering. Graduate education included research and professional programs in information management engineering, economics and finance, operations research and systems analysis, behavioral science and management, industrial engineering, and business administration. The research orientation of these programs linked theoretical methods with applications in engineering, finance, medicine, management, and service systems. The faculty was based in the Cooper and Bloomfield Buildings at Technion City in Haifa. According to the cited reference material, the unit had 52 faculty members and served approximately 500 graduate and 1,000 undergraduate students as of 2023. Its academic work therefore combined a substantial teaching operation with research in modeling, optimization, information systems, organizational behavior, economics, and decision support. On January 1, 2023, the faculty changed its name to the Faculty of Data and Decision Sciences. The new name reflects the growing importance of data-intensive methods, computational analysis, artificial intelligence, and formal decision-making across the faculty’s established fields. The historical William Davidson Faculty of Industrial Engineering & Management identity remains relevant for understanding the institution’s origin, legacy, programs, and public references, while the current institutional identity is the Faculty of Data and Decision Sciences. The department or faculty is currently headed by Professor Rann Smorodinsky.
History
The Technion launched the Industrial Engineering and Management academic department in 1958. Its founding dean, Professor Pinchas Naor, shaped the unit around an interdisciplinary conception of industrial engineering. Rather than separating engineering from management, the institution was designed to bring together applied engineering, mathematical modeling, operations research, statistics, economics, organizational behavior, and managerial studies. This founding concept reflected the needs of a developing industrial economy. Industrial systems required more than equipment and production methods: they also required planning, resource allocation, information management, economic evaluation, organizational design, and an understanding of human behavior. The faculty’s structure therefore connected technical analysis with the management of enterprises and the behavior of people working within formal organizations. Over time, the faculty developed undergraduate and graduate programs spanning industrial engineering and management, information systems engineering, data science and engineering, economics and finance, operations research and systems analysis, behavioral science and management, industrial engineering, and business administration. Its academic work covered both theoretical and applied questions. Mathematical models and algorithms were used to study decision-making, supply chains, projects, manufacturing, service systems, finance, medicine, and other complex environments. Information-oriented research addressed software and systems engineering, databases, artificial intelligence, computer graphics and vision, communications, and distributed systems. Behavioral programs examined industrial psychology, human-factors engineering, labor relations, personnel management, and organizational behavior. The faculty operated from the Cooper and Bloomfield Buildings at Technion City in Haifa. By 2023, the cited reference described a unit with 52 faculty members serving approximately 500 graduate and 1,000 undergraduate students. Its role extended beyond conventional industrial production, encompassing services, information systems, quantitative economics, organizational decision-making, and data-intensive technologies. On January 1, 2023, the institution changed its name to the Faculty of Data and Decision Sciences. The renaming signals a contemporary emphasis on data analysis and formal decision sciences while retaining the faculty’s earlier interdisciplinary foundation. The historical name remains the subject of the referenced Wikipedia article and continues to identify the faculty’s institutional legacy. Under its current identity, the unit remains part of the Technion and is headed by Professor Rann Smorodinsky.
- 2023
Name changed to Faculty of Data and Decision Sciences
[1]On January 1, the faculty adopted the name Faculty of Data and Decision Sciences, reflecting its expanded emphasis on data, analytics, and decision-making.
- 1958
Industrial Engineering and Management department launched
[1]The Technion established the academic department that became the William Davidson Faculty of Industrial Engineering & Management, with Professor Pinchas Naor as founding dean.
Products and positioning
A research-intensive Technion faculty positioned at the intersection of engineering, data, quantitative decision-making, management, economics, information systems, and behavioral science. Its distinctive institutional model combines technical systems design with organizational and managerial analysis.
Undergraduate degree program · 1958
Industrial Engineering and Management
The faculty’s traditional undergraduate program combines engineering analysis with management, economics, and organizational study. Students may focus on manufacturing and services systems engineering, enterprise information systems engineering, or economics. The program addresses the planning, design, operation, evaluation, and improvement of complex industrial and service organizations.
Undergraduate degree program
Information Systems Engineering
This program emphasizes the engineering and organizational use of information technology. Its subject areas include databases, algorithms, internet systems, systems analysis, customer relations, electronic commerce, knowledge management, and the management of information-intensive organizations.
Undergraduate degree program
Data Science and Engineering
The data science and engineering offering represents the faculty’s focus on computational methods, data analysis, and technology-enabled decision-making. The available reference identifies the program but does not provide a complete curriculum description.
Graduate research program
Information Management Engineering
This graduate program prepares students to understand, develop, implement, and evaluate complex information systems. Its research scope includes systems and software engineering, system analysis, databases, artificial intelligence, game theory, computer graphics and vision, communications, and distributed systems.
Graduate program
Economics and Finance
The economics and finance program offers master's and doctoral study with an emphasis on quantitative and technological aspects of economics. Students can also take related courses in industrial engineering, management, data, and decision sciences.
Graduate research area
Operations Research and Systems Analysis
This research area develops mathematical models of decision processes and creates algorithms and analytical techniques for solving them. Applications include engineering, finance, management, medicine, service systems, and other complex operational environments.
Graduate program
Behavioral Science and Management
The program provides advanced training in the theory, methodology, and application of behavioral research in workplaces, industrial systems, and formal organizations. Options include industrial and organizational psychology, human-factors engineering, labor relations, and personnel management.
Graduate degree program
Industrial Engineering
The graduate industrial engineering program offers master's and doctoral study for academic and professional careers. Its areas include supply-chain management, project management, plant layout, operations management, material handling, and service engineering, supported by theoretical problem-solving methods.
Professional graduate degree
Master of Business Administration
The faculty offers an MBA as part of its management-oriented graduate education. The available reference confirms the program but does not specify its curriculum, delivery format, or current admissions structure.
Brand decisions
2023
Adoption of the Faculty of Data and Decision Sciences nameStrategyBackground
The historical industrial engineering and management faculty had developed a broad portfolio encompassing information systems, data science, analytics, operations research, economics, management, and behavioral science.
Action taken
The faculty changed its name to the Faculty of Data and Decision Sciences on January 1, 2023.
Aftermath
The new identity emphasizes data-intensive research and formal decision-making while preserving the institution’s interdisciplinary academic role within the Technion.
Sources2 sources
Cite this profile: Cite the canonical profile. /brand-wiki/the-william-davidson-faculty-of-industrial-engineering-and-management · Editorial policy · How profiles are compiled