General Information

Artificial intelligence (AI) technology is a rapidly developing field in the modern world, making its impact increasingly felt every day. AI, which aims to enable machines to achieve human-like thinking and learning capacities, is creating revolutionary changes in many sectors. The Artificial Intelligence and Machine Learning undergraduate program offers a comprehensive education built on software development, algorithms, data structures, and mathematical foundations. The program covers advanced topics such as machine learning, deep learning, natural language processing, image processing, big data analysis, and data mining. Students gain experience with real-world applications through laboratory work and a capstone project. Furthermore, through collaborations with industry, internship opportunities are provided, developing both academic and professional competencies. This ensures that graduates possess the comprehensive technical skills needed by the industry. Artificial intelligence is actively involved in every field of today's world and plays important roles in many sectors. Some of the application areas where this technology stands out are: Healthcare: Artificial intelligence is revolutionizing healthcare services, such as medical imaging, disease diagnosis, and patient monitoring. AI-based diagnostic systems enable early diagnosis of diseases and make treatment processes more effective. Finance: Intelligent analytics tools optimize financial operations such as risk management, fraud detection, and customer service. Education: AI-powered systems provide students with personalized learning experiences. Automated assessment tools and intelligent teaching assistants make educational processes more accessible and effective. Agriculture: Smart agricultural systems are used to increase agricultural efficiency and support sustainable production. These technologies can detect plant diseases and enable more productive crops.

Length of Programme & Number of Credits

4 Year - 240 ECTS

Feature & Definition

The Artificial Intelligence and Machine Learning undergraduate program offers students with computational skills and an interest in artificial intelligence technologies the opportunity to specialize in areas such as algorithm development, data analysis, deep learning, natural language processing, and big data technologies. Throughout the program, students develop a balanced mix of theoretical and applied skills. The program utilizes learning methods grounded in modern engineering and technology infrastructures.

Mode of Study

Full Time

Head of Department

ECTS / Course Catalog Coordinator

Erasmus Coordinator

Internship Coordinator

Orientation Staff

Goals

The aim of the Artificial Intelligence and Machine Learning undergraduate program is to equip students with fundamental concepts in machine learning, AI, and data science, to develop advanced technical competencies in programming and data analysis, and to develop them into individuals who can solve AI-based problems in industry and academia. This program aims to provide students with in-depth knowledge and skills in AI and machine learning. By providing students with a strong engineering foundation, this program supports their expertise in modern AI technologies and applications.

Objectives

The program's aim is to develop students' analytical and algorithmic thinking skills, equip them with teamwork, project management, problem-solving, and presentation skills, and develop versatile AI specialists who are compatible with today's technology. Graduates of the Artificial Intelligence and Machine Learning program typically focus their careers on AI and machine learning expertise, leading to employment opportunities in large technology companies, financial institutions, and a wide range of sectors, including education, healthcare, electronics, and automotive.

Specific Admission Requirements

Students are accepted to this program with the placement result document issued by the Evaluation, Selection and Placement Center (ÖSYM).

Qualification Awarded

Students who successfully complete this program are awarded a bachelor's degree in Artificial Intelligence and Machine Learning.

Level of Qualification

Bachelor's

Qualification Requirements of Graduation

To graduate from this program, it is necessary to have a GPA of at least 2.00 out of 4.00 and to pass all courses.

Access to Further Studies

Graduates can apply to postgraduate (master's, PhD) programs in the fields of artificial intelligence and machine learning and continue their academic careers.

Internship

Since it is a newly established department, there are no internship courses yet.

Applied Course

The department has applied courses such as Object-Oriented Programming, Data Structures and Data Analysis.

Work Placement

There is no workplace training in our department.

Double Major, Additional Major & Exchange Possibilities

Students can benefit from the Erasmus exchange program.

Employment Opportunities

Graduates can work in positions such as Artificial Intelligence and Machine Learning Specialists, Data Scientists, Big Data Engineers, and Business Intelligence Analysts. They can also find employment in various sectors such as finance, healthcare, defense, automotive, e-commerce, or in startups and R&D laboratories.