General Information

The undergraduate program in Artificial Intelligence and Data Engineering offers an education that aims to provide students with the ability to design, develop and implement data-driven and artificial intelligence-based systems. The program is built on a strong foundation of software development, algorithms, data structures and mathematical background, along with core engineering courses. Advanced courses cover current topics such as machine learning, deep learning, natural language processing, computer vision, big data analysis, data mining, data security and cloud computing. The program is also supported by hands-on laboratory work and a capstone project that enables students to develop projects to solve real-world problems. In addition to theoretical knowledge, the program also provides students with practical projects and internship opportunities in collaboration with the industry. Thus, graduates are trained as strong and well-equipped individuals in both academic and industrial fields.

Admission Requirements
 

GENERAL ADMISSION REQUIREMENTS FOR STUDENTS FROM THE REPUBLIC OF TURKEY:
1. To be a citizen of the Republic of Turkey,
2. Within the scope of the Higher Education Institutions Examination (YKS) conducted by the Measurement, Selection and Placement Center (ÖSYM), to have sufficient score in the numerical score type determined for the relevant year,
3. To have preferred the relevant program during the YKS preference procedures and to be in the placement ranking within the announced quota.
GENERAL ADMISSION REQUIREMENTS FOR FOREIGN STUDENTS:
1. To be a non-citizen of the Republic of Turkey or to have the right to apply as a foreign student within the scope of dual citizenship,
2. To participate in the Turkish Foreign Student Admission Examination (TR-YÖS) conducted by ÖSYM and to meet the minimum score requirement for the program,
3. Applying to the university according to the TR-YÖS results and choosing the Artificial Intelligence and Data Engineering program during the preference period,
4. To be successful in the Turkish Proficiency / Exemption Exam conducted by the University or to submit a valid Turkish proficiency certificate (TÖMER, Yunus Emre Institute, etc.)

Employment Opportunities
 

Our graduates have a wide range of employment opportunities in the fields of artificial intelligence, data science, machine learning, big data analytics, software development and intelligent systems in public institutions, private sector companies, technology firms, research centers and entrepreneurship ecosystem. Our graduates, who have the competence to develop data-driven solutions in many different sectors from defense industry to health technologies, from financial technologies to automotive and manufacturing sectors, also have the opportunity to pursue an academic career by continuing their graduate studies in Turkey and abroad.

Graduation Requirements
In order for the student to graduate:

1. 240 ECTS (157 national credits) equivalent to the courses in the announced curriculum and successful completion of these courses,

2. To have achieved at least 2.00 overall academic average according to the quadratic system and not to have a course with a letter grade of FF,

3. Successfully complete 20 working days of internship in two semesters and then successfully pass the Professional Practice courses in the curriculum.