Its Importance Now and in the Future

Digitalization is no longer a transformation process limited to specific sectors; it has become a fundamental infrastructure layer that determines the operational logic of all engineering and production systems. Artificial intelligence and computational sciences play a decisive role in a wide range of areas, from public services to industry, finance, energy, and transportation infrastructure, through prediction, optimization, automation, and decision support mechanisms. Therefore, data and computational engineering capabilities stand out as a strategic element that directly affects the competitiveness of organizations, the efficiency of public systems, and the resilience of societies.

In the future, artificial intelligence will become widespread not only in the form of software products, but also as an integral component of engineering systems. Digital twins, autonomous systems, large-scale simulations, climate and disaster risk modeling, and the use of artificial intelligence in scientific discovery processes (AI for Science) will be the main areas accelerating this trend. The three-year structure of the program offers an agile and adaptable educational model that can adapt to this rapid transformation, guiding students towards application and project production at an early stage.