Artificial Intelligence in the Master's Program in Data Science and Artificial Intelligence focuses on developing technologies and methods to create machines or systems that can learn and adapt on their own. The main focus is on data processing, pattern analysis, and intelligent decision-making. Students in this discipline learn algorithms, modeling techniques, and advanced computing to develop smart solutions to real-world problems. Learning materials include machine learning, deep learning, neural networks, natural language processing, computer vision, and big data analysis. In addition, students understand the ethics and safety related to the use of artificial intelligence technologies. They also learn to apply artificial intelligence techniques in various domains such as healthcare, finance, automotive, and others. The main objective of this research group is to train experts who are able to understand, develop, and apply artificial intelligence technologies to solve complex problems. Students are expected to be able to design intelligent models and algorithms and implement innovative solutions to support better decision-making and improve efficiency in various industries.

Data Science in the Master's Program in Data Science and Artificial Intelligence focuses on an in-depth understanding of data management, statistical analysis, signal processing, and advanced modeling methods. Students learn the skills to explore, process, and analyze big data, and extract valuable information to support decision-making. Learning materials include applied statistics, machine learning, multivariate analysis, natural language processing, and data visualization techniques. Students are also taught concepts and techniques in real-time and streaming data processing. The importance of ethics in data management and use is also a focus to ensure ethical and regulatory use of data. The main goal of this research group is to train experts who can understand, analyze, and utilize data effectively. Students are expected to be able to design and implement predictive models, statistical modeling, and analysis that provide deep insights into data. With this expertise, they can help organizations and companies make better decisions, identify market trends, optimize operations, and innovate in various sectors.