PhD in Computer Science in USA

See PhD Programs in Computer Science in USA 2017

Computer Science

One must accomplish two things when earning a PhD. First one must understand a particular subject thoroughly. Secondly, one must extensively in knowledge about that subject.

PhD in computer science is an advanced training that enables you to give quick and accurate solutions to computer related problems. With this training, you can land at one of the best jobs with international computer intelligence that deals with international computer crimes, as well as terrorism.

The USA remains the world’s most popular destination for international students. Universities in the US dominate the world rankings and the country also offers a wide variety of exciting study locations. State university systems are partially subsidized by state governments, and may have many campuses spread around the state, with hundreds of thousands of students.

Top Doctoral Programs in Computer Science in USA 2017

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PhD in Computer Science and Software Engineering

Auburn University
Campus Full time Part time September 2017 USA Auburn

For students interested in the Ph.D program, it requires a a master’s degree or successful completion of a minimum of one academic year of graduate study, from an institution of recognized standing in an area related to the proposed doctoral study. All applicants must submit Graduate Record Examination scores for the general test. [+]

Best PhDs in Computer Science in USA 2017. For students interested in the Ph.D program, it requires a a master’s degree or successful completion of a minimum of one academic year of graduate study, from an institution of recognized standing in an area related to the proposed doctoral study. All applicants must submit Graduate Record Examination scores for the general test. Student will take a written qualifying examination soon after gaining admission to the program. Additional examinations, as described in the general Graduate School requirements, are given throughout the program, culminating with the defense of the dissertation. There is no language requirement for the Ph.D. The program typically includes at least one academic year of course work and one year of research beyond the master’s level. The Ph.D. program requires a minimum of 66 semester credit hours of course work beyond the bachelor’s level, including 18 hours of research and dissertation. Recruiting Multiple fully funded Ph.D. positions (supported via Research Assistantships) are available in the exciting field of Deep Learning. The positions are expected to start in Fall 2017 or Spring 2018. Undergraduate, MS students and visiting scholars are also welcome (depending on cases, some funding may be available). The research topic: is flexible and will be in areas of mutual interest in Deep Learning. Topics include but are not limited to: computer vision applications; generative modeling; understanding and explaining deep neural networks; improving model reliability and security; combining deep learning and evolutionary algorithms. Application Instructions If you are interested... [-]

PhD in Computer Science

Clarkson University Graduate School
Campus Full time Part time 3 - 7 years September 2017 USA Potsdam + 1 more

The Department of Computer Science offers a Doctor of Philosophy in Computer Science. The program is designed to increase the student’s fundamental knowledge and to give the student guidance and experience in research. A graduate student pursues these objectives by taking advanced courses, participating in seminars, and carrying out and reporting on research projects. [+]

The Department of Computer Science offers a Doctor of Philosophy in Computer Science.  The program is designed to increase the student’s fundamental knowledge and to give the student guidance and experience in research. A graduate student pursues these objectives by taking advanced courses, participating in seminars, and carrying out and reporting on research projects. The department provides the advantage of close personal association between graduate students and faculty, giving special attention to individual needs and interests. PhD Curriculum
 The Ph.D. degree in Computer Science may be completed in a minimum of three years and a maximum of seven years of post-undergraduate study. The basic degree requirements include completion of 90 credit hours including a minimum of 36 credits of course work, a minimum of six credit hours in research seminars, and an original doctorate thesis research project submitted as a written dissertation defended orally and approved by a committee of five Ph.D. faculty members, at least four of whom are members of the Clarkson faculty. Specific Course Requirements: Four required core graduate courses of 3 credits each (CS 541 Theory, CS 547 (Theory), CS 544 (Systems) and CS 545 (Languages)), one 3-credit course in each of four breadth areas (Theory and Algorithms, Computer Systems and Networks, Languages and Software Development, Artificial Intelligence and Applications) and four 3-credit research-oriented 600-level CS courses, six semesters of Computer Science Seminar (6 credits), and thesis research (1-10 credits per semester). A minimum of two years of study must be in residence at Clarkson. [-]

Doctor of Philosophy in Computer Science (Ph.D.)

The George Washington University - School of Engineering & Applied Science
Campus Full time 4 - 6 years September 2017 USA District of Columbia

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. [+]

Best PhDs in Computer Science in USA 2017. Program Overview 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. Courses focus in the following areas: Algorithms and theory Computer architecture, networks, parallel and distributed computing Computer security and information assurance Database and information retrieval systems Machine intelligence and cognition Multimedia, animation, graphics, and user interface Software engineering and systems The program is designed to prepare students for exciting and rewarding careers in information technology, medicine, film, business, government, and engineering. With the unique location of Washington, D.C., students have access one of the highest concentrations of high-tech companies in the country and federal institutes, including the National Institutes of Health (NIH), NASA, National Institute of Standards and Technology, and the Naval Research Laboratory. Doctor of Philosophy in Computer Science (Ph.D.) Credit hours (for... [-]

Doctor of Philosophy in Computer Engineering (Ph.D.)

The George Washington University - School of Engineering & Applied Science
Campus Full time 4 - 6 years September 2017 USA District of Columbia

The doctoral program in computer engineering is designed to involve students in cutting-edge research in the areas of computer architecture and high-performance computing, or microelectronics and VLSI systems. The research interests of the faculty in the computer architecture and high-performance computing area span computer architecture, parallel processing, cloud computing, and high-performance and grid computing. [+]

Program Overview The doctoral program in computer engineering is designed to involve students in cutting-edge research in the areas of computer architecture and high-performance computing, or microelectronics and VLSI systems. The research interests of the faculty in the computer architecture and high-performance computing area span computer architecture, parallel processing, cloud computing, and high-performance and grid computing. In the microelectronics and VLSI design area, the faculty's interests include the design and modeling of electronic and nanoelectronic devices and systems, microfluidic devices integrated with electronic devices, the design of MicroElectroMechanical Systems (MEMS) for sensors and for RF-MEMS devices, micro and nanoelectronic circuits with applications to sensors and biosensors, and techniques to develop CMOS Integrated sensors and their interface circuits using analog and digital circuits. Offered through the Department of Electrical and Computer Engineering, the Ph.D. in Computer Engineering prepares students to learn and apply sophisticated computer architecture and integrated circuit design techniques using industry-standard computer-aided design tools. Faculty and students work together to explore solutions for photonic computing; create state-of-the-art advances in high-performance computing; and improve the reliability of cloud computing. The program offers up-to-date knowledge and skills in the advances of computer systems architecture and networking, as well as the rapidly-growing use of superscalar microprocessors, real-time embedded systems, VLSI and ASIC design modules, digital signal processors, and networked computing platforms. The program offers a flexible schedule that includes courses in the late afternoon and evening, as well as the ability to choose a thesis or non-thesis degree option. Students choose from... [-]

PhD in Informatics and Computing

Northern Arizona University
Campus Full time 5 years August 2017 USA Flagstaff

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. [+]

Best PhDs in Computer Science in USA 2017. 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. Students' research and education are strengthened through broad collaborations with a variety of academic, government, and private entities. We accept students from broad formal educational backgrounds such as biology, ecology, computer science, electrical engineering, and statistics, however all students must possess sufficient mastery of key foundational areas in order to meaningfully engage in and contribute to original research. These areas include programming, data structures, software development methods, and statistics. Program faculty may require that students admitted into the program correct any deficiencies in these areas by enrolling in additional undergraduate or graduate courses. Available Emphasis Areas: Bioengineering Informatics - Emphasis Cyber and Software Systems - Emphasis Ecological and Environmental Informatics - Emphasis Health and Bioinformatics - Emphasis The doctoral degree in Informatics and Computing enables students to engage in a research-intensive course of study within a broad range of informatics and computing areas, including population health, bioinformatics, remote... [-]

Doctor of Philosophy (PhD) in Computer Science

College of Engineering and Mathematical Sciences
Campus Full time September 2017 USA Burlington

The PhD in Computer Science program is administered by the Graduate College. The Department of Computer Science has set up the policies and requirements for its PhD program on the basis of the policies and requirements of all PhD programs administered by the Graduate College. This document should answer most of the common questions about the PhD in Computer Science Program. However, all readers are encouraged to... [+]

Doctor of Philosophy (PhD) in Computer Science The PhD in Computer Science program is administered by the Graduate College. The Department of Computer Science has set up the policies and requirements for its PhD program on the basis of the policies and requirements of all PhD programs administered by the Graduate College. This document should answer most of the common questions about the PhD in Computer Science Program. However, all readers are encouraged to consult with the Graduate Committee of the Computer Science Department as well as the Graduate College for further information. Uniqueness of Our PhD Program Doctoral programs are fundamentally different from Bachelor's or Master's degree programs. Like other programs, doctoral students gain a base level of knowledge through course work. The difference, however, comes with research. Whereas a Bachelor's or Master's student may undertake a research project, it merely provides a complement to the course work and is clearly guided by a faculty advisor. Doctoral research is the focus of a doctoral student's studies. Doctoral research is much more self-guided and exploratory than research done in the other programs. Future employers typically select doctoral students on the quality and originality of their thesis research, not their grades in course work. Reflecting this focus, the bulk of time and effort during a student's doctoral studies is spent on thesis research. In the last thirty-plus years, computer science has developed into a rich academic discipline. But computers and computation also play a key role in many research disciplines, including... [-]

PhD in Imaging Science

Rochester Institute of Technology (RIT)
Campus Full time 3 years September 2017 USA Rochester

The doctor of philosophy degree in imaging science signifies high achievement in scholarship and independent investigation in the diverse aspects of imaging science. [+]

The doctor of philosophy degree in imaging science signifies high achievement in scholarship and independent investigation in the diverse aspects of imaging science. Candidates for the doctoral degree must demonstrate proficiency by:

Successfully completing course work, including a core curriculum, as defined by the student’s plan of study; Passing a series of examinations; and Completing an acceptable dissertation under supervision of the student’s research adviser and dissertation committee.

Admission requirements

To be considered for admission to the Ph.D. program in imaging science, candidates must: Hold a bachelor of science degree in engineering, computer science, applied mathematics, or one of the natural sciences. (Because imaging science encompasses a wide variety of scientific disciplines, students with diverse backgrounds are accepted into the program. Exceptional students from other fields may be accepted.) Have completed courses in calculus, university physics (one year), modern physics, and a computer language. Submit scores from the Graduate Record Exam (GRE). Submit official transcripts from all previous course work. Submit two letters of recommendation from individuals well-qualified to judge their abilities for graduate study. Submit an application for graduate study. ... [-]

PhD in Color Science

Rochester Institute of Technology (RIT)
Campus Full time 3 years September 2017 USA Rochester

Color science research at RIT encompasses such diverse fields as medical data visualization, computer graphics and animation, art conservation, spectral and spatial measurements of materials, color printing, digital photography, motion picture and television, and modeling of our perceptions for use in defining color quality. [+]

Doctor of Philosophy in Color Science Color has been a topic of intense interest and inquiry for hundreds if not thousands of years. As a generalization, color science can be defined as the quantification of our perception of color. Its mastery requires an interdisciplinary educational approach encompassing physics, chemistry, physiology, statistics, computer science, and psychology. Color science is used in the design and control of most man-made colored materials including textiles, coatings, and polymers and to specify such diverse materials as soil and wine. It is used extensively in color reproduction including digital photography, desktop and projection display, and printing. As we begin the 21st century, color science is ubiquitous. Color science research at RIT encompasses such diverse fields as medical data visualization, computer graphics and animation, art conservation, spectral and spatial measurements of materials, color printing, digital photography, motion picture and television, and modeling of our perceptions for use in defining color quality. RIT has a long history of scholarship in color science. The program is designed for students whose undergraduate majors are in physics, chemistry, mathematics, computer science, engineering, experimental psychology, imaging, or any applied discipline pertaining to the quantitative description of color, for example, textiles, graphic arts, animation, material science, and polymer science. All students must earn 99 credits as a graduate student. For full-time students, the program requires three or more years of study at the graduate level for students entering the program with a baccalaureate degree. The curriculum is a combination of required courses in... [-]

PhD in Computing and Information Sciences

Rochester Institute of Technology (RIT)
Campus Full time 3 years September 2017 USA Rochester

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. [+]

Best PhDs in Computer Science in USA 2017. 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. Cyberinfrastructure Cyberinfrastructure (CI) is a comprehensive infrastructure integrating hardware, data, networks, and digitally-enabled sensors to provide secure, efficient, reliable, accessible, usable, and interoperable suites of software and middleware services and tools. Our doctorate program plays a leadership role in CI research by providing human-centered tools for the science and engineering communities. These tools and services focus on such areas as high performance computing, data analysis and visualization, cyber-services and virtual environments, and learning and knowledge management. Admission requirements To be considered for admission to the doctorate program in computing and information sciences, candidates must meet the following minimum requirements: Baccalaureate degree or its recognized equivalent. Since the program encompasses a wide variety of disciplines, students with diverse backgrounds (e.g., engineering, science, humanities, fine arts, business, and disciplines with sufficient computing backgrounds) are encouraged to apply. Applicants should have the following minimum course work requirements: one... [-]