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