Artificial Intelligence and Machine Learning

What is the Department of Artificial Intelligence and Machine Learning? Why Should I Study It?

The Department of Artificial Intelligence and Machine Learning focuses on algorithms and systems developed to enable machines to possess human-like intelligence in today’s rapidly evolving technological world. Artificial Intelligence (AI) is a technology that allows machines to learn, understand, make decisions, and improve themselves, creating revolutions in many industries. Machine Learning, as a subfield, enables machines to learn from data and produce more accurate results over time. In this department, students gain in-depth knowledge of these two technologies and reinforce their skills through applied projects.

First of all, this field has become a rapidly developing technology that is revolutionizing many different sectors of life. By studying in this department, you will have the opportunity to shape the technologies of the future. Artificial intelligence and machine learning create major transformations in industries such as healthcare, finance, education, and automotive, and the knowledge and skills required to contribute to these areas are provided within this program.

Artificial intelligence and machine learning are among the most in-demand technologies worldwide. Studying in this field creates significant career opportunities. You may work in various positions such as Data Scientist, AI Researcher, or Machine Learning Engineer. Thanks to the high demand in the sector, your chances of finding a job after graduation are very high.

Why Should I Study Artificial Intelligence and Machine Learning at Cappadocia University?

Studying Artificial Intelligence and Machine Learning at Cappadocia University offers many advantages. With its academic staff that follows the latest developments in the field and its advanced technological infrastructure, the university provides students with a strong education. Through modern laboratories and practice-based learning methods, you will develop not only theoretical knowledge but also practical skills.

Cappadocia University enables students to gain problem-solving skills through interdisciplinary projects and real industry collaborations. Thanks to the university’s strong industry connections, students have significant advantages in internship and employment processes. In addition, activities, seminars, and conferences held during the program allow students to follow current developments and meet with experts.

The career support services and alumni network provided by Cappadocia University help you make a smooth and effective transition into the sector after graduation. By gaining a strong foundation in a rapidly developing field such as artificial intelligence and machine learning, you will have the opportunity to become a competitive and well-equipped professional.

What Do Graduates of the Artificial Intelligence and Machine Learning Department Do? Career Opportunities

Graduates of the Artificial Intelligence and Machine Learning Department can work in a wide range of fields in this rapidly developing area of technology. With the education they receive, they acquire the knowledge and skills to develop AI and machine learning applications, perform data analysis, and build automated systems.

Graduates can generally work in the following areas:

Artificial Intelligence Engineer: Designs, develops, and implements AI algorithms. These engineers work with techniques such as machine learning, deep learning, and natural language processing.

Machine Learning Specialist: Extracts meaningful results from data sets, trains, and develops machine learning algorithms. These specialists take part in designing systems that learn from data.

Data Scientist: Analyzes large datasets and helps develop business strategies based on this data. They use AI and machine learning techniques to derive value from data.

AI Consultant: Provides guidance to companies on AI and machine learning solutions, offering recommendations on integrating technology into business processes.

Automation Engineer: Designs and manages AI and machine learning-based systems that automate business processes.

Robotics Engineer: Develops, integrates, and optimizes robots powered by AI algorithms.

Business Intelligence (BI) Analyst: Uses AI techniques to analyze and report business data, providing managers with the information needed for strategic decision-making.

R&D Specialist: Researches new technologies in the field of AI, contributes to development processes, and produces innovative projects.

Skills Needed for Students Who Want to Study in the Department of Artificial Intelligence and Machine Learning

Students who want to succeed in the Department of Artificial Intelligence and Machine Learning should have strong technical and analytical skills. Since this field involves rapidly evolving and continuously innovative technologies, certain qualities are very important. These include:

Analytical Thinking Ability: The ability to analyze data, discover relationships, and draw meaningful conclusions is essential. AI and machine learning are data-driven fields that require strong analytical thinking.

Mathematical and Statistical Knowledge: Machine learning and AI algorithms are often based on statistical analysis and mathematical modeling. A solid foundation in mathematics and statistics is required for correct application of algorithms.

Programming and Software Development Skills: Knowledge of programming languages such as Python, R, and Java is essential for data analysis and implementing machine learning algorithms. Coding skills are crucial in putting theory into practice.

Problem-Solving Skills: The ability to develop creative solutions to complex problems in AI and machine learning is necessary. Solving problems and proposing new solutions are key factors for success in this field.

Interest in Technology and Continuous Learning: As AI is a rapidly developing field, it is important to be open to new technologies and continuous learning.

Critical Thinking: To design AI applications correctly and ethically, critical thinking is required. Proper interpretation of data and reflection on the accuracy of model results are important.

Communication Skills: The ability to present technical data clearly and communicate effectively within a team is essential for project success. AI solutions must be explained to different stakeholders.

Time Management: Projects and research often follow strict deadlines. Effective time management and prioritization are essential to succeed in this department.

Creative and Innovative Thinking: AI and machine learning are dynamic fields that require developing innovative solutions. The ability to generate new and original ideas increases success.

Artificial Intelligence and Machine Learning 2025 - YKS Placement Quotas and 2024 - YKS Minimum Scores

For the 2025 – 2026 academic year, quotas have been determined with a total of 49 students: 7 full scholarship and 42 with 25% scholarship.

Artificial Intelligence and Machine Learning Department 2025-YKS Additional Placement Quotas and Minimum Scores