Doctor of Philosophy (PhD) in Information Technology: The PhD is a programme of independent, self-directed academic research degree, supported by a team of supervisors that makes an original contribution to knowledge written up in a publishable dissertation. The PhD programme also supports the development of research and generic skills to equip you to operate successfully as a professional researcher in any setting. The essential requirement of a PhD is the creation of new knowledge. Being a researcher means developing new ideas and improving understanding through the creation of new knowledge.

The Doctor of Information Technology program offers an advanced exploration of emerging IT trends, research methodologies, systems analysis and design, information security, advanced networking, emerging technologies, human-centered design, enterprise architecture, and project management.

The Doctor of Information Technology (D.Sc) goal is to help students acquire the practical skills and theoretical knowledge necessary to work as an expert in their field.

This doctoral programme is the foundation of the engineering principles of information technology that transforms our economic and social systems. The final thesis should respond to the needs arising from the impact that IT has had on all professions.

PhD students must carry out research on an individual basis under the guidance of a professor.

The doctoral degree program in Information Technology is intended for outstanding graduates with a master's degree completed at any university. The education acquired in this degree program also includes preparation and certification for scientific work. Graduates of the doctoral degree program are ready to start their own scientific, research, and managerial work. The graduates can utilize their creativity at distinguished research centers as heads of research and development teams as well as in scientific and pedagogical careers at universities. Graduates of this program can also occupy high positions in large institutions and companies, where creative and independent work is required as well as efficiency in analyzing complex problems and suggesting new and original solutions. The graduates receive the title of Doctor (Ph.D.) following their names. The expected number of students accepted is 40 to 60 a year.

The Ph.D. study program Communication technology is focused on the scientific and academic education of experts who make their careers in the fields of research and development or in academia. Throughout their study, the Ph.D. students are an integral part of ongoing RD projects. They actively publish the findings of their scientific work and are introduced to the scientific community by their mentors. The study requires a minimum of four academic years of study. After the successful defense of the thesis, the students are awarded the Ph.D. degree.

The main strengths of this doctoral program proposal are focused on specialization in content that ranges from knowledge of current computing architectures and their use, to artificial intelligence and robotics, through distributed information systems, or analysis. and synthesis of visual information or electronic design.

Advance your expertise with Walsh College's prestigious PhD programs, designed for professionals and academics seeking to lead innovation and drive meaningful change. Choose from specialized tracks in Organizational Leadership, AI & Machine Learning, Data Analytics, and Cybersecurity to tailor your studies to your career goals.

The Ph.D. course aims to train researchers capable of carrying out high-quality research work related to Information Engineering in academic and non academic research institutions as well as in industrial research development centers. The course consists of four curricula:

Applied Sciences in Engineering is a PhD programme focused on the research of problems in the boundary between engineering and natural sciences. The scope of the PhD thesis falls into one or more of the following areas: Computer Simulations, Physics and optics, and Material engineering.

The research thesis of this PhD programme should provide a basis for understanding, implementation and rational decision making on contemporary networking technologies. Analyze contemporary terminology, concepts, technologies and devices used in the Internet industry. It should develop both intentional and accidental threats and threats to computer mainframe systems and networks. It should also show how to detect and prevent these threats and how to minimise potential losses caused by fraud and/or human error.

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.

The PhD program in Network Science is a research-oriented program that provides the only PhD degree in this field in Europe. Network science provides essential tools to study complex systems including society online and offline, the economy or urban traffic. Accordingly, the program provides hands-on experience with large datasets characterizing those systems and the skills needed to analyze them.

The applicant should have a background in physics, mathematics, mechanical engineering, or software engineering. The applicant should agree with the supervisor of his/her future thesis prior to submitting his/her application form.