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.

Our MPhil/PhD programme in computer science offers you the opportunity to participate fully in the highly interdisciplinary research environment of our department and of the College as a whole.

The aim of the PhD programme is to provide opportunities for the growth of researchers and teachers in the fields of computer science and mathematics by promoting the training of professionals in basic and applied research, economics or public administration whose knowledge, skills and competences meet the requirements of the highest level specialists in the field of mathematics and computer science in Latvia and internationally.

The PhD program in "Mathematics, Computer Science, Statistics", based in Firenze, is managed by a Consortium among the University of Firenze, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi"-Rome (INdAM). This PhD program inherited the tradition of the pre-existing three separate PhD's in Mathematics, Computer Science, Statistics, and can rely upon the very many, and well established, scientific connections of the involved institutions with Universities and Research Centers in many Countries of the World. The relevant number of offered scholarships allows the achievement of a critical mass of PhD students and activities, which are fundamental for a doctorate with an interdisciplinary character.

The School of Mathematical and Computer Sciences is pleased in offering PhD in Computer science by research to students on the Dubai campus. Initially, those with an interest in undertaking a project in the broad area of computing are encouraged to apply. This may include different research topics as outlined in programme content.

The doctoral programme in Computer Science aims to provide students with advanced scientific, methodological and technological knowledge in computer science and related sectors and their corresponding fields of application. This knowledge will prepare students and introduce them to theoretical and applied research, with particular attention to interdisciplinarity and internationalisation, developing research skills so that they are able to produce original independent research of interest to the international scientific community and businesses.

The field of computer science evolves very quickly and often traditional universities only deal with some aspects of this particular segment of science.

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 Ph.D. in Computer Science demands a very high level of intellectual, theoretical, and practical specialized scientific knowledge and insight into problems related to the field of study and the application of advanced experimental methods and techniques of the modern research, as well as fundamental scientific and academic values in generating, processing, interpreting and presenting research data orally and in written form.

The branch of knowledge of this course in PhD in Informatics Engineering is precisely Informatics Engineering. Through its PhD program in computer science, UAlg intends to affirm its presence in this scientific field. There is a bachelor's and a master's degree in Informatics Engineering in the Institution, already with some parchments.

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.

The Doctor of Philosophy program in Computer Science and Software Engineering offers a unique opportunity for doctoral students to develop research and development skills in cutting-edge computer science and software engineering disciplines. We cater to doctoral students with outstanding aptitude and strong research skills in computer science and software engineering. A dissertation embodying the results of this research represents the major portion of the requirements for this degree. Four calendar years beyond the bachelor’s degree or three past the master’s degree are usually needed to complete the Ph.D. program.

The Doctor of Philosophy (PhD) is the highest degree offered by the University of Otago. It is awarded on the submission of a thesis which must meet rigorous standards. It requires highly developed academic ability, independence and perseverance. Most students take between 3-4 years of full-time study to complete their PhD.

Students in Saint Louis University’s Ph.D. program in computer science conduct independent, innovative research under the guidance of a member of our graduate faculty. The program prepares students for rewarding careers in industry or academia that leverage the power of computers, algorithms, and data to impact the world in a positive way.

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.