Artificial Intelligence and Digital Technologies Master's and Doctoral Programs

About

Artificial intelligence and digital technologies have become a fundamental field of science and technology, transforming not only computer science or software development but also a vast spectrum of areas, from engineering and basic sciences to healthcare systems, energy infrastructure, disaster management, and public policy. Big data, machine learning, autonomous systems, digital twins, and cyber-physical structures are positioned as integral components of the critical infrastructures that define the functioning of modern societies. These developments have made artificial intelligence and digital technologies not merely an application area, but a central research axis for the design and management of complex systems.

In recent years, the increasing integration of artificial intelligence into decision-making processes has brought the social, economic, and security dimensions of algorithmic systems to the forefront. Issues such as reliability, explainability, ethics, and regulation have become as important components of AI research as its technical aspects. AI and digital transformation-focused research conducted in the US by the National Science Foundation (NSF) through the AI Institutes, and in the European Union under the Horizon Europe and Digital Europe programs, clearly demonstrates that this field is being treated as an interdisciplinary, systems-based, and long-term academic area of expertise.

Artificial Intelligence and Digital Technologies Master's and Doctoral Programs aim to integrate artificial intelligence, data science, computational modeling, digital infrastructures, and cyber-physical systems within a single academic framework, in line with this global trend. Instead of addressing artificial intelligence solely at the algorithm development level, the program adopts a holistic research approach that aims for its reliable and sustainable application to real-world systems, critical infrastructures, and socio-technical structures.