Industrial Engineering MSc
Industrial Engineering MSc
Program Tracks:
- Analytics and Optimization,
- Data Science and Artificial Intelligence
Program Length: 2 years
Research program with a thesis
Tuition: Tuition will be covered for accepted students.
Scholarships are available
Application Deadline:
Rolling admissions
Degree Awarded: MSc in Industrial Engineering
Drive smarter systems in a data-driven world. Advance your expertise in analytics, optimization, and artificial intelligence with Tel Aviv University’s MSc in Industrial Engineering
Program Overview
Tel Aviv University’s MSc in Industrial Engineering equips you to design, optimize, and lead complex technological and organizational systems in a data-driven economy. If you’re looking to study engineering in Israel at the heart of the Start-Up Nation, this program combines advanced analytics, artificial intelligence, and systems thinking with real-world industrial relevance.
Industrial engineering is essential for achieving operational efficiency, cost-effectiveness, and agility across industries, from lean manufacturing and large logistics chains to hi-tech, startups, and multinational corporations.
You will study engineering in English while engaging with cutting-edge research and modern laboratories in computerized integrated systems, ERP, and information technologies.
The program offers two optional specialization tracks:
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Analytics and Optimization
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Data Science and Artificial Intelligence
Students may pursue a thesis or final project aligned with their chosen field.
TAU’s alumni are recognized leaders across diverse sectors in Israel and worldwide.
Why Choose Industrial Engineering MSc at Tel Aviv University?
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Study in English at a Top Research University in Israel
Complete your MSc in a fully English-taught program at one of Israel’s leading engineering schools.
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Learn from Leading Faculty in Research and Industry
Study with professors who publish in top international journals, collaborate extensively with industry partners, and run advanced laboratories.
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Lead Complex Technological Systems
Build advanced capabilities in data science, artificial intelligence, and engineering methodologies that support high-level decision-making and system design.
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Bridge Analysis and Implementation
Apply theoretical knowledge through hands-on work in designing, operating, and optimizing intelligent organizational and technological systems.
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Develop Multidisciplinary Impact
Combine mathematical modeling, digital technologies, and human–machine interaction to drive efficiency and innovation across industries.
