Artificial Intelligence And Machine Learning Eskisehir Technical University (ESTÜ)

Overview

The curriculum is structured around fundamental subjects such as mathematics, linear algebra, probability, statistics, computer programming, data structures, algorithms, database management, and optimization. Students are expected to use this foundation to understand and apply methods such as machine learning, deep learning, and artificial neural networks. Emphasis is also placed on developing knowledge and skills in data collection, data preprocessing, model development, model training, and performance evaluation.

Throughout the educational process, theoretical knowledge is supported by programming exercises and project-based activities. The program aims to develop students' competencies in problem identification, algorithm selection, software development, model evaluation, and optimization. In addition, emphasis is placed on teamwork, project management, analytical thinking, technical communication, and professional ethics. The program seeks to educate individuals who are aware of the impacts of artificial intelligence technologies on individuals and society and who consider data privacy, reliability, and ethical principles in their work.

The language of instruction of the program is 100% English. This supports students in following international scientific publications, technical resources, and current technological developments, communicating with experts from different disciplines, and continuously improving their professional knowledge and skills.

The program aims to equip graduates with the knowledge and skills required to pursue careers in artificial intelligence, machine learning, data science, and software development in public institutions, private sector organizations, technology companies, and R&D centers.

Career opportunities:

Graduates of the Department of Artificial Intelligence and Machine Learning have employment opportunities in various sectors, including software and technology companies, R&D centers, finance and banking, healthcare, defense, automotive, manufacturing, telecommunications, education, and public institutions.

The graduates may work in fields such as artificial intelligence, machine learning, data science, deep learning, data analytics, natural language processing, computer vision, and intelligent systems development. They may also take part in developing AI-based software solutions, analyzing data, building predictive models, and integrating artificial intelligence technologies into existing systems.

The main professional positions available to graduates include:

• Artificial Intelligence Specialist
• Machine Learning Operations (MLOps) Specialist 

• Machine Learning Engineer

• Data Scientist

• Data Analyst

• AI Software Developer

• Deep Learning Specialist

• Natural Language Processing (NLP) Specialist

• Computer Vision Specialist Artificial Intelligence R&D Specialist

In addition, they may pursue academic careers through graduate studies, participate in scientific research and development activities, or engage in entrepreneurial activities in the field of artificial intelligence.