Computer Engineering is a broad field that covers many diverse areas of study such as computer networks, computational intelligence and robotics, computer hardware systems, embedded and real-time systems, computer software design, operating systems, algorithms, etc. Students and faculty in Computer Engineering also develop synergies with disciplines outside of engineering; for example, with medicine and the life sciences that can lead to education and research in, for instance, biomedical engineering.

The COS program provides highly interdisciplinary training to educate researchers to use advanced computational and data methodologies to solve complex scientific and engineering problems. It provides a unified approach to modeling, high-performance computing and data science, and artificial intelligence-based approaches. Through modeling, simulation, machine learning, and studying specific phenomena, the program delivers cross-disciplinary knowledge and domain-specific depth in fields like fundamental computational physics, climate modeling, computational fluid dynamics, computational biology, materials science, computational economics, and digital cultural heritage. The program provides the necessary educational setting where excellence in education and research is fostered through interdisciplinary collaboration.

The doctorate degree in Computing/Computer Science provides the future Ph.D. holders with the necessary skills and abilities to become successful academics demonstrating an excellence in research and making a significant contribution to the local and international research community in the field of Computing/Computer Science. Through a minimum of a 3 years period, candidates develop critical thinking, formulate their own opinions, acquire research culture, and become autonomous researchers able to plan, develop, implement and coordinate research studies as well as reason and present their findings to the international scientific community.