Industrial Engineering and management
Faculty of Engineering

About Department

Industrial Engineering and Management is an engineering discipline that focuses on the development, improvement, implementation, and evaluation of integrated systems involving people, money, information, equipment, energy, materials, and processes. Although traditionally centered on manufacturing processes, industrial engineering has expanded its scope to include other sectors such as finance, healthcare, retail, logistics, air transport, education, government agencies, military, pharmaceutical companies, and the petrochemical industry. The field combines engineering principles with management skills to optimize complex processes and systems.

 

Studying a master's degree in industrial engineering and management offers advanced knowledge and skills for a deep understanding of complex systems, optimization methods, and management techniques in industrial systems. Career advancement for leadership roles and improvement of career prospects in various sectors. Problem solving abilities to identify, analyze, and solve complex industrial problems. Interdisciplinary approach that includes engineering, management, and economics. Research and innovation with innovative thinking provides opportunities for research in cutting-edge areas of industrial engineering. Global perspective of implementing international standards and practices in industrial engineering and preparing them for a globalized work environment. Practical application in real-world projects and case studies, allowing students to apply theoretical knowledge to practical situations. Networking opportunities with interaction between industry professionals and fellow students.

 

This study program includes the latest technologies in Industry 5 for the implementation of the Internet of Things (IoT), Digital Twins, and other systems for the regulation and control of smart systems.

Academic Staff

Course Plan

No. Code Name Semester Weekly Hours ECTS Year Type Syllabus
1 IE 504 Optimization Methods Fall 2 + 1 5.0 1 Elective
2 IE 505 Experiment Planning Fall 2 + 1 5.0 1 Elective
3 IE 506 Project Management—Advanced Course Fall 2 + 1 5.0 1 Elective
4 CE 507 Advanced Software Engineering Fall 2 + 1 5.0 1 Elective
5 MATH 501 Probability Theory Fall 2 + 1 5.0 1 Elective
6 CE 503 Computer Networks Fall 2 + 1 5.0 1 Elective
7 CE 509 Digital Communications Fall 2 + 1 5.0 1 Elective
8 CE 505 Web Services: Concepts and Applications Fall 2 + 1 5.0 1 Elective
9 IE 501 Operations Research—Advanced Course Fall 2 + 1 5.0 1 Compulsory
10 IE 502 Operations Scheduling Fall 2 + 1 5.0 1 Compulsory
11 IE 503 Integrated Systems Management Fall 2 + 1 5.0 1 Compulsory
12 RМAW 590 Research Methods and Academic Writing Fall 2 + 1 5.0 1 Compulsory
13 IE 599 Master thesis Spring 0 + 0 30.0 1 Compulsory
Course Name Semester Syllabus
First Year
Optimization Methods Fall
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Experiment Planning Fall
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Project Management—Advanced Course Fall
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Advanced Software Engineering Fall
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Probability Theory Fall
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Computer Networks Fall
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Digital Communications Fall
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Web Services: Concepts and Applications Fall
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Operations Research—Advanced Course Fall
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Operations Scheduling Fall
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Integrated Systems Management Fall
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Research Methods and Academic Writing Fall
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Master thesis Spring
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