Work leading to the degree of Doctor of Philosophy (Ph.D.) is designed to give the candidate a thorough and comprehensive knowledge of their professional field and training in methods of research. The final basis for granting the degree shall be the candidate's grasp of the subject matter of a broad field of study and a demonstrated ability to do independent research.

The primary goal of the Doctor of Computer Science (D.Sc) is to grow research computer scientists with the ability to generate new knowledge. The program of Computer Science (D.Sc) is designed to advance the professional development of experienced computer scientist and professionals in the computer arena by extending their computer knowledge and equipping them with broad research and process computer skills, enabling them to make a key leadership contribution to their chosen fields.

The curriculum consists of a thesis that incorporates a research proposal, an oral defence (viva voce) and two manuscripts, based on the candidate's research, submitted for publication to a recognised accredited journal. Proof of the submission of the manuscripts is a compulsory condition for the degree to be conferred.

The rapid emergence of advanced technologies tremendously impacts the world’s economic growth and social development. This challenging environment gives rise to both crucial needs as well as great opportunities for experts in computer science who can unlock the full potential of IT innovations and businesses.

PhD in Computer Science The main goal of this programme is to train future scientists with a strong professional background who are capable of working in an international and highly competitive environment, such as the Information Technology (IT) sector.

Ph.D. track is a five-year integrated Master and Ph.D. Program aimed at high-potential undergraduate students who know from the Master’s level that they wish to commit to a scientific Ph.D. Ph.D. The track offers students a selective and personalized curriculum, training periods at laboratories, and the opportunity to focus gradually on their thesis subject. This pathway provides a springboard for tackling future scientific challenges in research and development centers of companies and major universities. Students can choose from a wide range of research fields such as Computer Science; Data & Artificial Intelligence; Advanced Materials; Life sciences; Chemistry & Interfaces; Electrical Engineering; Physics; Mathematics, Mechanics, etc.

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.

Electronics systems manipulate electrical currents using devices such as transistors, diodes, and integrated circuits. These components control or amplify the flow of current and convert it from one form to another.

This programme of study allows the student to develop a foundation for understanding, implementing and making rational decisions about contemporary networking technologies. It analyzes contemporary terminology, concepts, technologies and devices used in the Internet industry.

Yuan Ze University offers Doctor of Engineering programs under College of Engineering, College of Informatics and College of Electrical 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 Ph.D. program in Computer Science presents both advanced instruction and opportunities for independent research. The Ph.D. degree is the highest academic degree offered, and graduates typically find employment as researchers in government or industry laboratories or as university faculty. Earning a Ph.D. degree requires initiative and responsibility, and the student is expected to make a significant contribution to computer-science knowledge by investigating a topic that is recognized as significant.

RIT’s cognitive science Ph.D. provides an interdisciplinary study of the human mind that combines insights from psychology, computer science, linguistics, neuroscience, augmented reality, and philosophy. Students in the Ph.D. in cognitive science conduct research on human perception, cognition, action, and language with a focus on the representation and processing of information within biological and computational frameworks.

This program provides a foundation for understanding, implementing, and rationally deciding on contemporary networking technologies. It analyzes the contemporary terminology, concepts, technologies, and devices used in the internet industry. It deals with both intentional and accidental dangers, as well as the threats confronting computers mainframe systems and networks. It also shows how to detect and prevent these hazards and how to minimize the potential losses caused by fraud and/or human errors.

The Ph.D. program in Systems Science (SyS) equips students with advanced skills for tackling research on technological, natural, economic, and social systems using mathematical models. Throughout their doctoral studies, SyS students learn various skills that enable them to create, employ, and implement techniques for analyzing and predicting complex phenomena. These techniques involve analytical, numerical, and computational models that originate from first principles or data, incorporating a range of interdisciplinary fields such as mathematics, operations research, physics, statistics, computer science, and engineering. The program encompasses several subjects such as machine learning, network science, analysis and control of dynamical systems, time-series analysis, statistical physics, complex systems theory, numerical optimization, numerical integration of differential equations, statistics, stochastic processes, agent-based models, specification languages, programming, and software analysis.  Students compose tailored study plans by choosing subjects from a wide portfolio of basic and advanced courses, covering a minimum of 150 lecture hours. SyS students also have the opportunity to spend a study period abroad as visiting fellows.