Formal Education

The primary objective of the program is to educate innovative, ethical, and analytically minded Industrial Engineers who possess a strong systems perspective, are capable of ensuring the efficient utilization of resources in production and service systems, and can take the lead in digital transformation processes.

Accordingly, our graduates are expected to achieve the following career objectives within a few years after graduation:

1. To assume professional roles in production, service, logistics, energy, healthcare, defense, information technologies, finance, and public sectors, focusing on system efficiency, quality improvement, optimization, data-driven decision-making, and process management.

2. To contribute to organizational development through leadership, project management, and entrepreneurship, utilizing their engineering and managerial competencies to develop innovative solutions.

3. To pursue graduate education in industrial engineering, data science, engineering management, or related disciplines, and to engage in research, consultancy, and innovation activities with a commitment to lifelong learning.

4. To uphold professional ethics and demonstrate environmental and social responsibility by developing sustainable solutions that incorporate the principles of green logistics, sustainable production, and circular economy.

Graduates of our program will be able to:

1. Demonstrate adequate knowledge in mathematics, science, and industrial engineering-specific topics; apply theoretical and practical knowledge to solve complex engineering problems.

2. Identify, define, formulate, and solve complex industrial engineering problems; select and apply appropriate analysis and modeling methods.

3. Design a complex system, system component, process, or product to meet specified requirements, considering realistic constraints and conditions involving people, materials, information, equipment, energy, and finance; apply modern design techniques for this purpose.

4. Develop, select, and use modern techniques and tools necessary for analyzing and solving complex engineering problems; effectively utilize information technologies.

5. Design and conduct experiments, collect data, analyze and interpret results, and ensure continuous improvement for the investigation of complex industrial engineering problems or research topics.

6. Work effectively both individually and in disciplinary and interdisciplinary teams.

7. Communicate effectively in oral and written forms; write effective reports in English, comprehend written reports, prepare design and production reports, deliver effective presentations, and give and receive clear instructions.

8. Recognize the need for lifelong learning; access information, follow developments in science and technology, and continually update themselves.

9. Act in accordance with ethical principles and develop an awareness of professional and ethical responsibility; have knowledge of standards used in engineering practices.

10. Demonstrate skills in project management, risk management, and change management within the scope of developing systems based on entrepreneurship, innovation, and sustainable development.

11. Be aware of the impacts of engineering practices on health, environment, and safety on a universal and societal scale; recognize contemporary issues reflected in the field of engineering and have an awareness of the legal consequences of engineering solutions.

Our graduates are employed across a wide range of sectors, both in traditional manufacturing and service industries as well as in Industry 4.0, digital transformation, and data-driven decision-making domains.

1. Industry 4.0 and Digital Transformation: They work as Digital Transformation Engineers or Systems Analysts in smart manufacturing systems, robotic automation, Internet of Things (IoT), big data analytics, AI-driven decision support systems, and digital process transformation projects.

2. Production and Service Systems Management: They serve as Industrial Engineers or Operations Managers in areas such as production planning, capacity management, quality assurance, cost analysis, lean production, and operational efficiency improvement.

3. Data Science, Analytics, and Operations Research: They work as Data Analysts, Business Intelligence Specialists, Operations Research Analysts (OR Analysts), Model Developers, or Simulation Engineers, engaging in data-driven decision-making, process modeling, forecasting, optimization, and performance analysis.

4. Supply Chain and Logistics Management: They are employed as Supply Chain Analysts or Logistics Planners in inventory control, routing and transportation optimization, network design, green logistics, and sustainable supply chain management.

5. Defense, Energy, and Healthcare Systems: They work as Systems Engineers or Decision Support Specialists in system design, risk and reliability analysis, decision support system development, energy efficiency, and sustainability management.

6. Public, R&D, and Consulting Organizations: They work as R&D Specialists or Consultants in strategic planning, policy analysis, performance measurement, process redesign, project and innovation management, and digital transformation consulting.