The subject area of the Master’s Program (MSc) is Artificial Intelligence (AI), a field that combines theoretical understanding with practical application and a professional dimension. The program is designed to offer a comprehensive and in-depth education on modern developments in Artificial Intelligence, focusing on both fundamental principles and advanced applications.
Specifically, in the modern, rapidly evolving technological environment, Artificial Intelligence incorporates the study and development of intelligent systems. The program delves into core AI methodologies, such as Supervised, Unsupervised, and Reinforcement Learning, with an emphasis on their application to real-world problems. Students develop skills in designing, training, and optimizing Deep Learning models, including network architectures such as Convolutional and Recurrent Networks, as well as Attention-based models.
A central pillar of the program is the critical analysis of the ethical, social, and legal implications of AI systems, integrating principles of fairness, accountability, transparency, and governance into the development and implementation of AI solutions. Furthermore, students are trained in the development and integration of Multi-Modal Generative AI systems, capable of processing and synthesizing data from text, images, video, and audio, with applications in fields such as natural language processing, medical imaging, and conversational agents.
The MSc also places great emphasis on AI systems engineering for large-scale implementation, utilizing techniques such as distributed computing, federated learning, and MLOps (Machine Learning Operations) practices, as well as cloud-based platforms. Finally, the program prepares students to conduct methodical empirical and theoretical research in Artificial Intelligence, while the Master’s Thesis allows for the completion of a substantial, independent research project that makes an original contribution to the understanding or applications of the field.
