Ben-Gurion University of the Negev

What you'll study

The programme combines advanced engineering, management and data‑driven methods to design, analyse and optimise industrial systems. Teaching covers mathematical modelling and optimisation, production and operations management, supply chain design, quality and reliability engineering, and human factors. Students learn to apply simulation, statistical analysis and machine learning to real industrial problems, and to integrate automation, control and information systems into production planning.

• Core modules typically include operations research and optimisation, production systems and scheduling, supply chain and logistics management, quality control and reliability engineering, and advanced manufacturing systems.
• Methods and tools courses cover stochastic modelling, simulation and discrete event simulation, data analytics for industry, industrial automation, and decision support systems.
• Electives and specialisms allow focus on areas such as lean manufacturing and Six Sigma, human factors and ergonomics, facility planning, maintenance engineering, robotics and Industry 4.0, or project and technology management.
• Project and thesis options: students complete an applied capstone project or a research thesis under academic supervision, often carried out in collaboration with local industry partners. Projects emphasise hands‑on use of laboratory facilities, simulation platforms and industrial datasets.
• Structure combines taught coursework with a substantial independent project or research dissertation; the programme can be taken full‑time or, in some cases, part‑time to accommodate working professionals.

Entry requirements

Applicants are expected to hold a relevant bachelor’s degree in industrial engineering, mechanical engineering, electrical engineering, systems engineering, operations research, mathematics, computer science, or a closely related discipline, with solid quantitative preparation. Typical requirements include a recognised undergraduate degree with good academic standing and transcripts, a CV, and a statement of purpose outlining academic and professional goals.

Additional materials commonly requested are letters of recommendation and, for research‑oriented applicants, a description of prior project or research experience. International applicants whose first language is not English may be asked to demonstrate English proficiency by recognised tests or equivalent institutional evidence. Work experience in industry is advantageous for candidates applying to practice‑oriented tracks.

Career prospects

Graduates are prepared for technical and leadership roles across manufacturing and service sectors. Typical career paths include:

• Industrial or manufacturing engineer, focused on process improvement and production planning
• Operations manager or production supervisor in manufacturing plants or service operations
• Supply chain and logistics analyst or manager, handling inventory, distribution and network design
• Quality and reliability engineer or continuous improvement specialist using Six Sigma and statistical methods
• Operations research analyst or data scientist applying optimisation and simulation to decision problems
• Consultant in operations, productivity and technology implementation for industry or public sector
• Technical roles in automation, robotics and Industry 4.0 projects; or progression to PhD and academic research

Why study at Ben‑Gurion University of the Negev

Ben‑Gurion University offers a multidisciplinary environment with a strong focus on applied research and technology transfer. The Department of Industrial Engineering and related research groups work closely with regional industry, providing students with access to applied projects, internships and collaborative research opportunities. The university’s location in Beersheba places students near a growing high‑tech, defence and industrial ecosystem in the Negev, which supports networking and employment prospects.

Students benefit from hands‑on training in modern laboratories and simulation facilities, supervision by faculty active in both theoretical and applied domains, and university support for entrepreneurship and industry collaboration. The programme’s balance of analytical rigour and practical experience makes it well suited for those aiming to improve operational performance or to lead innovation in industrial settings.