Ph.D. in Computer Science and Engineering

An interdisciplinary program on the physical and chemical fundamentals of material synthesis, characterization, structure-property behavior, processing, and computational modeling; with emphasis on practical laboratory experience.Research areas of interest:

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Doctoral students will gain exposure to and contribute to, groundbreaking research, giving them invaluable experience that will translate into an exciting, challenging, and well-compensated job in the high-demand field of computer science and engineering.

The HBKU Computer Science and Engineering Ph.D. program provides students with a solid, fundamental, and advanced education, as well as strong research experience and a broad understanding of aspects related to computer science and engineering.The program aims to equip students with advanced, up-to-date knowledge of computer science and engineering, plus the methods, tools, and technologies needed to explore this fast-evolving field. The program provides a broad, multidisciplinary, research-intensive education at the boundary of computer science and engineering while providing specialization streams in contemporary fields that are globally important and also relevant to Qatar, such as systems and computer security, software engineering, computational sciences, computer architecture and VLSI, robotics machine perception, sensing technologies, human-computer interface (HCI), Big Data and data analytics, machine learning and artificial intelligence, computer vision and graphics, and wireless and mobile computing and networking.Students have the opportunity to perform research alongside world-class faculty who are leaders in their respective fields. Students gain access to state-of-the-art laboratories and facilities within HBKU including the HBKU Research Complex. Students develop skills that position them to take leading roles in an exceptionally active and highly competitive area of the job market.... [-]

Ideally, students work with potential supervisors to develop a proposal.

*Supervisory sessions consist of 4 elements as appropriate to the candidate’s background:... [-]

The doctoral program in computing and information sciences is designed to produce independent scholars, well-prepared educators, and cutting-edge researchers poised to excel in their work in computing and interdisciplinary academic or industrial environments. The degree highlights two of the most unique characteristics of the Golisano College: its breadth of program offerings and its scholarly focus on discovering solutions to real-world problems by balancing theory and practice.The program focuses on the theoretical and practical aspects of cyberinfrastructure as applied to specific problems across multiple domains. It is a blend of intra-disciplinary computing knowledge areas and inter-disciplinary domain areas.... [-]

The PhD INF program prepares graduate students to work in the transformative "fourth paradigm" of science and engineering, an interdisciplinary field relying on Big Data and advanced software, hardware, and statistics skills. After a streamlined five-year plan of study, graduates will be ready to be leaders in industry and government research labs, faculty and research scientists in academia, and entrepreneurs in cutting-edge informatics application areas. Graduates will make contributions to exciting projects that address critical areas of national need in bioinformatics, population health, environmental sustainability, ecology, software engineering, wearable computing, cyber-physical systems, and cybersecurity.... [-]

Offered through the Department of Computer Science, the Ph.D. program in Computer Science is designed to equip students with excellent skills at the forefront of computing. Through research and teaching, the Department contributes to computing breakthroughs that are fueling advances in medicine, communications, transportation, security, and other areas vital to society and the world.

The doctoral degree is based on coursework as well as research that leads to a dissertation. It is recommended that students interested in the doctoral degree contact the faculty whose interests best fit his/her interest. Areas of research focus center around these topics: computer security and information assurance, software engineering and systems, bioinformatics and biomedical computing, networking and mobile computing, pervasive computing and embedded systems, machine intelligence, robotics, and algorithms and theory.... [-]

The aim of this programme is to produce scholarly graduates that are ready to become researcher, academician, consultant, specialist, entrepreneur and top management equipped with in-depth specialization and research skills. The programme shall develop graduates that are innovative and knowledgeable in the respective chosen field of study.

The programme is also hoped to produce scholars that are aware of the sustainability issues that are pertinent to computer science and information technology and the wider global context. In general, IUMW will deliver a programme that is tailored to the scholarly need of computer science and technology, information science and technology in general with the principles of entrepreneurship, innovation, and sustainability embedded into the DNA of the programme.... [-]

The Horizon Centre for Doctoral Training offers 10-20 places on the four-year research programme, My Life in Data, which focuses on researching personal data and the traces we leave behind. This data is now a major business and societal asset and can reveal a wealth of information about our habits, behaviors, preferences, relationships, and emotions.

The PhD programme accepts applicants from a wide range of backgrounds including computer science, engineering, mathematics, human factors, psychology, sociology, business, geography, social science and the arts.

The course consists of taught modules, annual summer schools, retreats and a three-month internship taken with one of the CDT’s partners organizations.... [-]

Kennesaw State University's Ph.D. in Analytics and Data Science is an advanced degree which has been developed to meet the market demand for Data Scientists.

This degree will train individuals to translate large, structured and unstructured, complex data sets into information to improve decision making. This curriculum includes a heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills - both oral and written - as well as application and tying results to business and research problems.

Because this degree is a Ph.D., it creates flexibility. Graduates can either pursue a position in the private or public sector as a "practicing" Data Scientist - where continued demand is expected to greatly outpace the supply - or pursue a position within academia, where they would be uniquely qualified to teach these skills to the next generation.... [-]

The Computer Science program educates students to become world-class researchers and thought leaders in the field of computer science. The program is designed to prepare the student for a career in academia, industrial research or advanced positions in industry.

The program offers two degrees: the Doctor of Philosophy (Ph.D.) degree and the M.S. degree The M.S. degree can be obtained by taking courses only or by a combination of courses and writing a thesis. Students who are interested in a research career are encouraged to apply directly to the Ph.D. program. An M.S. degree is not a pre-requisite to enroll in the Ph.D. program.

A student who completes the Ph.D. degree will have demonstrated original research that is published in world-class prestigious conferences, journals, and other research forums. This degree is appropriate for those who want to pursue a career in research either in academia or industry. A student who completes the M.S. degree by taking courses and writing a thesis will have demonstrated the ability to perform directed research and complete a research project. This degree is appropriate for students who wish to pursue a... [-]

Make your input really count as a postgraduate student in the Department of Computer Science and Engineering. Traditional computer science research covers the hardware and software of computer systems and their applications. Computer science programs at HKUST emphasize an integrated approach to the study of computers and computing methods to collect, process, analyze and transmit information to support relevant and useful applications in modern life.

Computer science is still a young field. The world is only just beginning to realize the potential of information technology. The Department and its programs prepare students to meet the exciting challenges that await and to generate new advances in computing that will fuel future progress.... [-]

By its nature, the doctorate is multidisciplinary field, covering three areas of knowledge that have been selected from the research with greatest strength in the School of Engineering and Science. These areas interact with each other through projects, centers and focus groups.

Lines of Generation and Application of Knowledge of the program are:

Bursaries

The PhD in Computer Science It is aimed at professionals with Masters degree in areas of computer science, engineering and exact sciences mainly interested in conducting high-impact research to contribute to the knowledge of any of the specialty areas of Computer Science.... [-]

The Ph.D. in Computer Science, in line with the general philosophy of Doctoral Degrees, provides the student with:

Abbreviation: VTI-DR-4

Faculty: Faculty of Information Technology

Academic year: 2018/2019

A title awarded: Ph.D.

Level of qualification: Doctoral (3rd cycle)

Qualification awarded: Ph.D. in the field "Computer Science and Engineering"

Specific admission requirements

A student may be admitted to the doctoral degree programme provided that he/she graduated from a master degree programme from the area of computer science and engineering and provided that he/she passes an entrance examination.

In order to be able to successfully pass the entrance examination, the student is required to select a theme of his/her future dissertation thesis from among of those offered by the faculty, to have an outstanding knowledge of the theory and applications related to the chosen theme, to have skills for scientific work, to have good English language skills, and to obtain an approval from his/her future supervisor.... [-]