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The Master of Science in Intelligent Engineering Systems (With Thesis) at Izmir University of Economics is a comprehensive graduate program designed to equip students with advanced knowledge and practical skills in the field of intelligent systems. This program focuses on the development, analysis, and implementation of intelligent algorithms and systems that can autonomousy analyze complex data, make decisions, and optimize processes across various industries. The curriculum combines foundational courses in computer science, artificial intelligence, machine learning, data analysis, and engineering principles with specialized topics such as robotics, automation, cyber-physical systems, and sensor technologies.
Students enrolled in this program will have the opportunity to engage in rigorous research projects, working closely with experienced faculty members who are experts in their fields. The thesis component provides an essential platform for students to conduct original research, contributing to the advancement of intelligent engineering systems. Throughout the program, students develop critical thinking, problem-solving, and innovation skills, preparing them for careers in research, development, and application of intelligent systems in sectors such as manufacturing, transportation, healthcare, and information technology.
The program emphasizes practical experience through laboratories, project work, and collaboration with industry partners, ensuring graduates are well-prepared to meet real-world challenges. Graduates of this program will be positioned to pursue careers in academia, research institutes, or industry, or to continue their education with doctoral studies. The program strives to produce graduates who are not only proficient in theory but also skilled in the application of cutting-edge technologies to create intelligent solutions that enhance efficiency, safety, and sustainability in multiple domains.
To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.
INTELLIGENT SOFTWARE - 1. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 001 | Elective Course I | 3 | 0 | 3 | 7.5 | |
IES 503 | Artificial Intelligence | 3 | 0 | 3 | 7.5 | |
IES 505 | Modelling the Real time Systems with UML | 3 | 0 | 3 | 7.5 | |
IES 507 | Information Processing in Wireless Sensor Networks | 3 | 0 | 3 | 7.5 | |
Total : | 30 |
INTELLIGENT COMPUTING SYSTEMS - 1. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 001 | Elective Course I | 3 | 0 | 3 | 7.5 | |
IES 503 | Artificial Intelligence | 3 | 0 | 3 | 7.5 | |
IES 509 | Heuristics | 3 | 0 | 3 | 7.5 | |
IES 511 | Machine Learning | 3 | 0 | 3 | 7.5 | |
Total : | 30 |
INTELLIGENT PRODUCTION - 1. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 001 | Elective Course I | 3 | 0 | 3 | 7.5 | |
IES 503 | Artificial Intelligence | 3 | 0 | 3 | 7.5 | |
IES 509 | Heuristics | 3 | 0 | 3 | 7.5 | |
IES 513 | Mathematical Programming and Applications | 3 | 0 | 3 | 7.5 | |
Total : | 30 |
INTELLIGENT SOFTWARE - 1. Year Spring Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 002 | Elective Course II | 3 | 0 | 3 | 7.5 | |
IES 504 | Intelligent Agents and Multi Agent Planning | 3 | 0 | 3 | 7.5 | |
IES 506 | Human Computer Interaction | 3 | 0 | 3 | 7.5 | |
IES 595 | Intelligent Engineering Systems Seminar | 0 | 0 | 0 | 7.5 | |
Total : | 30 |
INTELLIGENT COMPUTING SYSTEMS - 1. Year Spring Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 002 | Elective Course II | 3 | 0 | 3 | 7.5 | |
IES 504 | Intelligent Agents and Multi Agent Planning | 3 | 0 | 3 | 7.5 | |
IES 506 | Human Computer Interaction | 3 | 0 | 3 | 7.5 | |
IES 595 | Intelligent Engineering Systems Seminar | 0 | 0 | 0 | 7.5 | |
Total : | 30 |
INTELLIGENT PRODUCTION - 1. Year Spring Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
ELEC 002 | Elective Course II | 3 | 0 | 3 | 7.5 | |
IES 508 | System Simulation and Modeling | 3 | 0 | 3 | 7.5 | |
IES 512 | Manufacturing Systems Analysis | 3 | 0 | 3 | 7.5 | |
IES 595 | Intelligent Engineering Systems Seminar | 0 | 0 | 0 | 7.5 | |
Total : | 30 |
INTELLIGENT SOFTWARE - 2. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
IES 599 | Master Thesis | 0 | 0 | 0 | 30 | |
Total : | 30 |
INTELLIGENT COMPUTING SYSTEMS - 2. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
IES 599 | Master Thesis | 0 | 0 | 0 | 30 | |
Total : | 30 |
INTELLIGENT PRODUCTION - 2. Year Fall Semester | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
IES 599 | Master Thesis | 0 | 0 | 0 | 30 | |
Total : | 30 |
INTELLIGENT SOFTWARE - Elective Courses | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
IES 520 | Constraint Programming | 3 | 0 | 3 | 7.5 | |
IES 523 | Digital Signal Processing | 3 | 0 | 3 | 7.5 | |
IES 524 | Digital Image Processing | 3 | 0 | 3 | 7.5 | |
IES 530 | Evolutionary Algorithms | 3 | 0 | 3 | 7.5 | |
IES 540 | Advanced Network Optimization | 3 | 0 | 3 | 7.5 | |
IES 550 | Artificial Neural Networks | 3 | 0 | 3 | 7.5 | |
IES 560 | Wireless Communication | 3 | 0 | 3 | 7.5 | |
IES 570 | Criptology and Computer Security | 3 | 0 | 3 | 7.5 | |
IES 588 | Selected Topics in Intelligent Software Systems | 3 | 0 | 3 | 7.5 |
INTELLIGENT COMPUTING SYSTEMS - Elective Courses | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
IES 505 | Modelling the Real time Systems with UML | 3 | 0 | 3 | 7.5 | |
IES 520 | Constraint Programming | 3 | 0 | 3 | 7.5 | |
IES 523 | Digital Signal Processing | 3 | 0 | 3 | 7.5 | |
IES 524 | Digital Image Processing | 3 | 0 | 3 | 7.5 | |
IES 530 | Evolutionary Algorithms | 3 | 0 | 3 | 7.5 | |
IES 540 | Advanced Network Optimization | 3 | 0 | 3 | 7.5 | |
IES 550 | Artificial Neural Networks | 3 | 0 | 3 | 7.5 | |
IES 560 | Wireless Communication | 3 | 0 | 3 | 7.5 | |
IES 570 | Criptology and Computer Security | 3 | 0 | 3 | 7.5 | |
IES 584 | Selected Topics in Intelligent Computing Systems | 3 | 0 | 3 | 7.5 |
INTELLIGENT PRODUCTION - Elective Courses | ||||||
Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
IES 511 | Machine Learning | 3 | 0 | 3 | 7.5 | |
IES 520 | Constraint Programming | 3 | 0 | 3 | 7.5 | |
IES 530 | Evolutionary Algorithms | 3 | 0 | 3 | 7.5 | |
IES 531 | Advanced Production Systems | 3 | 0 | 3 | 7.5 | |
IES 532 | Advanced Scheduling Systems | 3 | 0 | 3 | 7.5 | |
IES 534 | Nonlinear Programming | 3 | 0 | 3 | 7.5 | |
IES 538 | Nature Inspired Optimization | 3 | 0 | 3 | 7.5 | |
IES 540 | Advanced Network Optimization | 3 | 0 | 3 | 7.5 | |
IES 544 | Experimental Design | 3 | 0 | 3 | 7.5 | |
IES 550 | Artificial Neural Networks | 3 | 0 | 3 | 7.5 | |
IES 586 | Selected Topics in Intelligent Production Systems | 3 | 13 | 3 | 7.5 |
The students studying in this second cycle program with thesis are required:
to take a minimum of 7 courses with a minimum of 21 local credits, one seminar course, and a thesis. (The seminar and thesis are non-credit and graded on a pass/fail basis.)
to succeed in all the courses with a letter grade of at least CC/S
to have a Cumulative Grade Point Average of at least 3.00/4.00 with a minimum of 120 ECTS credits.
B-2 FOREIGN NATIONALS:
To hold an Undergraduate Degree Diploma from a (4 year) higher education institution that is recognized by the Higher Education Board
To graduate from undergraduate program (4 year) of Departments of Industrial Engineering, System Engineering, Computer Sciences, Computer Engineering, Software Engineering, Electrical/ Electronics/Telecommunication Engineering, Information, Computer and Teaching Technologies Teaching, Computer Education, Electrical Electronics Education, Computer Technologies, Mechatronics, Mathematics, Physics, Business Administration, Logistics Management, or related departments to apply for Intelligent Engineering Systems master program,
To graduate from undergraduate program (4 year) of Departments Architecture, Interior Architecture, City and Regional Planning, and other related design fields to apply for Architecture master program,
To be exempt from foreign language proficiency, students need to meet the below requirements:
To be graduated from a higher education program in which the medium of instruction is the same language as in the master program applied for within three years following their graduation,
To obtain the scores in the exams specified below, or obtain an equivalent score in the internationally recognized foreign language exams that are deemed equivalent to the exams specified below by the Higher Education Board.
Type of Exam |
Score |
KPDS ( Public Personnel Language Exam ) |
65 |
UDS ( Interuniversity Foreign Language Exam ) |
65 |
YDS (Foreign Language Placement Exam) |
65 |
IYS (IUE Proficiency in English Exam) |
65 |
The Financing Studies for the Intelligent Engineering Systems (With Thesis) program at Izmir University of Economics are designed to provide students with comprehensive financial support options to facilitate their academic pursuits. Typically, the university offers a variety of funding opportunities, including scholarships based on academic merit, need-based grants, and research assistantship positions. These financial aids aim to reduce the economic burden on students and promote equal access to high-quality education.
Scholarships may be awarded upon admission to outstanding students who demonstrate exceptional academic achievement, with some programs reserving scholarships specifically for students pursuing specialized fields like engineering and systems management. Need-based grants are also available and are designed to assist students from economically disadvantaged backgrounds, ensuring that capable students are not hindered by financial constraints. Furthermore, the university may allocate research assistantship positions for qualified students engaged in research projects related to intelligent engineering systems, offering stipends and covering tuition fees concurrent with active participation in faculty research activities.
In addition, students are encouraged to seek external funding opportunities through governmental or private sector research grants, which can supplement university-provided financing. International students might be eligible for specific scholarship programs targeted at promoting diverse academic communities. The university collaborates with industry partners to facilitate internship and cooperative education opportunities, which can sometimes include financial compensation, further supporting students financially during their studies.
Though detailed figures and specific program policies are not publicly disclosed, it is typical for Izmir University of Economics to support their students through a combination of partial scholarships, academic awards, and employment-based funding options. Students are advised to consult the university’s official financial aid offices or program coordinators for personalized information, eligibility assessments, and application procedures. Overall, the financing studies are structured to foster an inclusive learning environment, promote academic excellence, and contribute to the development of skilled professionals in intelligent engineering systems.
The MSc in Intelligent Engineering Systems (With Thesis) at Izmir University of Economics is a graduate program designed to equip students with advanced knowledge and skills in the interdisciplinary field of intelligent systems. This program aims to prepare graduates for careers in research, development, and application of intelligent technologies across various industries, including automation, robotics, data analysis, and decision-making processes. The curriculum integrates core concepts from computer science, engineering, and artificial intelligence, providing a comprehensive understanding of intelligent systems design, analysis, and implementation.
Students enrolled in the program will undertake theoretical coursework alongside practical projects to develop their competencies in adaptive systems, machine learning, neural networks, fuzzy logic, and sensor integration. The thesis component encourages students to engage in original research, applying their learned skills to real-world problems in intelligent engineering domains. The program emphasizes both foundational knowledge and innovative approaches, ensuring graduates are well-prepared for both academia and industry.
The faculty members involved in this program typically have expertise in areas such as intelligent control systems, computational intelligence, robotics, and automation. The program benefits from partnership opportunities with industry, allowing students to gain valuable practical experience through internships and collaborative projects. The curriculum is regularly updated to reflect the latest technological advancements and best practices in intelligent engineering, maintaining its relevance in a rapidly evolving field. Graduates of this program are expected to find employment in fields such as automated systems design, smart manufacturing, data-driven decision support, and AI-driven process optimization. The program's research output contributes significantly to the development of innovative intelligent solutions, fostering technological growth and addressing complex real-world challenges.