PhD in Computer Science in USA

See PhD Programs in Computer Science in USA 2017

Computer Science

A PhD is the abbreviation for Doctor of philosophy. This degree is a post graduate program delivered to a high level student researcher who has done deep research in a specific field or 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.

Education in the United States is mainly provided by the public sector, with control and funding coming from three levels: state, local, and federal, in that order. The common requirements to study at a higher education level in United States will include your admissions essay (also known as the statement of purpose or personal statement), transcript of records, recommendation/reference letters, language tests

Top Doctoral Programs in Computer Science in USA 2017

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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 those with a master's degree): 30 Credit hours (for those without a master's degree): 54 Other requirements: Course requirements: Students must take one course from each of the three areas: theory, systems, and applications. Students must also take one advanced topics course. For students without a prior master's degree, 15 credit hours may be taken outside of the department; for those with a prior master's degree, nine credit hours may be taken. Preliminary exam: Students must pass the exam within four semesters of starting the program Dissertation committee: Students are responsible for forming a dissertation committee comprised of three members in addition to the advisor and co-advisor(s). Dissertation proposal exam: Students must first pass the preliminary exam prior to the dissertation proposal exam. The student must then submit a written proposal for evaluation and undergo an oral exam. Peer-reviewed papers: Students are expected to have at least two or three conference or journal papers accepted for publication prior to the dissertation defense. Colloquium requirement: Students must attend a minimum of two seminars, workshops, or symposia sponsored by the department in order to fulfill this zero-credit requirement. Doctoral Degree Program Requirements Number of credit hours: For direct Ph.D. degree students: 54 credit hours (minimum of 18 credit hours of course work available for graduate credit and minimum of 12 credit hours of dissertation research credits (CSCI 8999)) For post-Master’s Ph.D. students: 18 credit hours of course work available for graduate credit and 12 credit hours of dissertation research credits (CSCI 8999) Specific course requirements: At least one course from each of the following three areas: 1) theory, 2) systems; and 3) applications. The purpose is to introduce students to the major methods of computer science research at the graduate level. Theory research involves constructing formal models of computation; validation is primarily by mathematical proof. Systems research involves improving computing infrastructure to make it faster, more reliable, more secure, etc.; validation is primarily empirical or analytical. Applied research involves using computers to solve problems of interest. Validation is primarily through demonstration that a method is effective in solving a problem. Theory: CSci 4314, 6212, 6213, 6311, 6312, 6331, 6341, 6362 Systems: CSci 6431, 6441, 6461, 6541 Applications: CSci 6351, 6364, 6365, 6443, 6448, 6511, 6521, 6525, 6527, 6554, 6555 At least one advanced topics course. CSci courses at the 8000 level with “Advanced” in the title satisfy this requirement. With approval of the student’s advisor, a CSci 6907 course may also satisfy this requirement. A maximum of 15 credits outside of the department for direct Ph.D. students; a maximum of 9 credits outside of the department for post-Master’s Ph.D. students. Ph.D. Admissions Requirements Applicants must submit the following materials in order to be considered for admission into a master's program at SEAS. All materials except test scores must be uploaded to the online application form: Online Application Transcripts Scanned copies of unofficial transcripts are required from all colleges and universities attended, whether or not credit was earned; the program was not completed; or the credit appears as transfer credit on another transcript. Please ensure that all transcripts are properly scanned and attached to the online application form. Otherwise, applicants will receive notifications requesting legible transcripts, which may delay review of their application. Please do not mail official transcripts unless you are instructed to do so by a SEAS admissions officer. Admissions decisions are based on unofficial transcripts. For international applicants, please see additional requirements for attaching foreign transcripts to the online application. GRE scores The Graduate Records Examination (GRE) is required of all applicants, except for those applying for a Combined Five-Year Program. GRE scores must be sent to institution code 5246 through the Educational Testing Service (ETS). There is no minimum score required on the GRE for admission. However, applicants are encouraged to score within the 90th percentile of the Quantitative section of the exam in order to be considered competitive. To see average GRE scores from the most recent incoming class, visit the Graduate Student Profile. English proficiency exam scores (international applicants) International applicants who did not receive a degree from an institution situated in the United States or English-speaking country must also submit scores from the TOEFL, IELTS, or PTE Academic exams. Please view the International Admissions section for information on English language exam score requirements and sending scores to GW. Letters of Recommendation A minimum of three (3) letters of recommendation is required to be submitted with the online application form. At least one recommendation should be from an advisor and/or faculty member(s) at the institution from which you earned your highest degree. Statement of Purpose Applicants must include an essay of 400-600 words that clearly states their purpose in undertaking graduate study at the George Washington University; explains their academic objectives, research interests, and career plans; and discusses related qualifications including collegiate, professional, and community activities, as well as any other substantial accomplishments not already mentioned. It is strongly encouraged that essays stay within the 600 word limit. While applicants are not penalized for submitting longer essays, concise essays are more effective in demonstrating an applicant's motivation. The Statement of Purpose must be written by the applicant. Any essay found to have been written by anyone other than the applicant, or plagiarized from other published materials, will be withdrawn from consideration. Résumé/CV A current résumé or curriculum vitae (CV) should be uploaded with the online application form. If you have published articles in peer-reviewed publications, please include them as a hyperlink. Ph.D. applicants applicants must also demonstrate the following requirements in order to be considered for admission: A bachelor’s or master’s degree in a relevant area from an accredited institution If applicant has obtained a master’s degree, a minimum grade point average of 3.5 (on a scale of 4.0) is required, as well as coursework in advanced software paradigms, computer architectures, design and analysis of algorithms. If applicant has only obtained a bachelor’s degree, the minimum grade point average must be a 3.3 (on a scale of 4.0). Completion of two math courses beyond pre-calculus Strong academic background that includes courses in structured programming language, discrete structures, and data structures [-]

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 two areas of focus: Computer architecture and high-performance computing MEMS, electronics, and photonics (microelectronics and VLSI systems) Doctor of Philosophy in Computer Engineering (Ph.D.) Credit hours (for those with a master's degree): 30 Credit hours (for those without a master's degree): 54 Duration: 4-6 years Other requirements: ​Scholarship requirement: Doctoral students in the Computer Engineering program must have a minimum GPA of 3.4 at the time of graduation. Students must have a B or higher in all courses to count toward the degree. Seminar requirement: All doctoral students must present one departmental seminar, excluding the dissertation defense, prior to graduation. Colloquium requirement: All doctoral students must attend five seminars, workshops, or symposia sponsored by the department in order to fulfill this zero-credit requirement. Areas of focus Computer Architecture and High-Performance Computing Faculty in this area are involved in research on topics such as computer architecture, parallel processing, cloud computing, and high-performance and grid computing. MEMS, Electronics, and Photonics Faculty in this area are involved in research on topics such as 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. Ph.D. Admissions Requirements Applicants must submit the following materials in order to be considered for admission into a master's program at SEAS. All materials except test scores must be uploaded to the online application form: Online Application Transcripts Scanned copies of unofficial transcripts are required from all colleges and universities attended, whether or not credit was earned; the program was not completed; or the credit appears as transfer credit on another transcript. Please ensure that all transcripts are properly scanned and attached to the online application form. Otherwise, applicants will receive notifications requesting legible transcripts, which may delay review of their application. Please do not mail official transcripts unless you are instructed to do so by a SEAS admissions officer. Admissions decisions are based on unofficial transcripts. For international applicants, please see additional requirements for attaching foreign transcripts to the online application. GRE scores The Graduate Records Examination (GRE) is required of all applicants, except for those applying for a Combined Five-Year Program. GRE scores must be sent to institution code 5246 through the Educational Testing Service (ETS). There is no minimum score required on the GRE for admission. However, applicants are encouraged to score within the 90th percentile of the Quantitative section of the exam in order to be considered competitive. To see average GRE scores from the most recent incoming class, visit the Graduate Student Profile. English proficiency exam scores (international applicants) International applicants who did not receive a degree from an institution situated in the United States or English-speaking country must also submit scores from the TOEFL, IELTS, or PTE Academic exams. Please view the International Admissions section for information on English language exam score requirements and sending scores to GW. Letters of Recommendation A minimum of three (3) letters of recommendation is required to be submitted with the online application form. At least one recommendation should be from an advisor and/or faculty member(s) at the institution from which you earned your highest degree. Statement of Purpose Applicants must include an essay of 400-600 words that clearly states their purpose in undertaking graduate study at the George Washington University; explains their academic objectives, research interests, and career plans; and discusses related qualifications including collegiate, professional, and community activities, as well as any other substantial accomplishments not already mentioned. It is strongly encouraged that essays stay within the 600 word limit. While applicants are not penalized for submitting longer essays, concise essays are more effective in demonstrating an applicant's motivation. The Statement of Purpose must be written by the applicant. Any essay found to have been written by anyone other than the applicant, or plagiarized from other published materials, will be withdrawn from consideration. Résumé/CV A current résumé or curriculum vitae (CV) should be uploaded with the online application form. If you have published articles in peer-reviewed publications, please include them as a hyperlink. Ph.D. applicants applicants must also demonstrate the following requirements in order to be considered for admission: A bachelor’s or master’s degree in a relevant area from an accredited institution If the applicant has obtained a master’s, a minimum grade point average of 3.4 (on a scale of 4.0) is required. If the applicant has only obtained a bachelor’s degree, the minimum grade point average must be a 3.3 (on a scale of 4.0). Identified one to three SEAS faculty members whose research interests most closely match their own and note this on the application form. A strong academic or relevant professional background pertinent to the field of study Demonstrated capacity for original research [-]

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 sensing, ecological modeling wireless sensor and communication systems, cyber-physical systems, software architecture and visualization, computer graphics, model-driven design, machine learning, wearable computing, and cybersecurity. Our five-year degree program is strengthened by committed mentorship and professional development training, with students benefiting from a broad range of collaborations and partnerships, including but not limited to: Center for Bioengineering Innovation, Center for Microbial Genetics and Genomics, Center for Ecosystem Science and Society, Merriam-Powell Center for Environmental Research, Department of Biological Sciences, Department of Physics and Astronomy, School of Earth Sciences and Environmental Sustainability, and School of Forestry. Regional research collaborators include but are not limited to: Translational Genomics Research Institute, Northern Arizona Healthcare and Flagstaff Medical Center, North Country HealthCare, U.S. Geological Survey, and Northern Arizona Planetary Science Alliance. What Can I Do with a Doctor of Philosophy in Informatics and Computing? The Ph.D. program in Informatics and Computing prepares graduates for meaningful and fulfilling careers in the application of informatics and computing to critical areas of national need. We aim to prepare students to be leaders in industry and government research labs, faculty and research scientists in academia, or entrepreneurs in cutting-edge informatics application areas. University Requirements To receive a Doctor of Philosophy Degree (Ph.D.) at Northern Arizona University, you must complete a planned group of courses, from one or more disciplines, ranging from at least 60-109 units of graduate-level courses. Most plans require research, a dissertation, and comprehensive exams. All plans have residency requirements regarding time spent on the Flagstaff campus engaged in full-time study. In addition to University Requirements: Complete individual plan requirements. ADDITIONAL ADMISSION REQUIREMENTS Admission requirements over and above admission to NAU are required. NAU Graduate Online application is required for all programs. Details on admission requirements are included in the online application. Undergraduate degree from a regionally accredited institution Grade Point Average (GPA) of 3.00 (scale is 4.00 = "A"), or the equivalent. Admission to many graduate programs is on a competitive basis, and programs may have higher standards than those established by the Graduate College. Transcripts For details on graduate admission policies, please visit the Graduate Admissions Policy International applicants have additional admission requirements. Please see the International Graduate Admissions Policy Individual program admission requirements include: GRE® revised General Test 3 letters of recommendation Personal statement or essay Resume or Curriculum Vitae Expertise in key foundational areas in informatics, including core topics such as programming, data structures, software development methods, and statistics, as well as areas that support specific emphases, such as biology, ecology, and cyber systems. Student Learning Outcomes Graduates of this training program will demonstrate the following advanced competencies and program learning outcomes (PLOs): PLO1: Identify, explain, and assess the major theories, research methods, and technical approaches driving informatics- driven science and engineering and the impact of these elements on society. PLO2: Identify, explain, synthesize, and apply the fundamental concepts of informatics, including large-scale data representation and organization, various types of programming languages, software development methods, data processing, information extraction and machine learning, and statistical analysis. PLO3: Identify, explain, synthesize, and apply the interdisciplinary combination of core informatics and in-depth disciplinary expertise defining one of the following emphasis areas: Health and Bioinformatics, focusing genetic and genomic analysis, population health, and disease transmission; Ecological and Environmental Informatics, focusing on ecological and environmental analyses and remote sensing; Cyber and Software Systems, focusing on the design and implementation of cyber-physical and large-scale software systems. Bioengineering Informatics, focusing on data analysis and control in bioengineering applications. PLO4: Identify, survey, analyze, organize, and critically distill information from the scientific literature within an informatics emphasis area and creatively identify open research questions. PLO5: Independently apply appropriate expertise, methods, and tools to the creative design, execution, and assessment of an investigation that addresses original informatics research questions. PLO6: Compose and engage in highly effective written and oral communication in informatics areas; demonstrate clear argumentation and logical cohesion in a variety of written and oral communications, including scholarly dissemination, funding requests, industry, and lay-communication. [-]

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 (but not limited to) engineering, biology, mathematics, physics, chemistry, economics and education. Against such a backdrop, our interdisciplinary PhD program produces Computer Science professionals capable of teaching and performing original research at the university level as well as in industrial or other professional settings. The interdisciplinary PhD program in Computer Science offers study in both traditional and cross-disciplinary areas such as bioinformatics and ecological modeling. Our faculty in Computer Science are involved in the forefront of research in data mining, distributed systems, and evolutionary & agent-based computing. Our interdisciplinary work cuts across all areas of campus, with current emphasis in bioinformatics, computational imaging, computational engineering, and ecological modeling. Our faculty publish in prestigious journals and conferences in Computer Science, have significant research grants from federal agencies (such as NSF, NIH, DOE, and DOD), and serve on editorial boards, conference committees, National Science Foundation review panels, and leading professional societies. Doctoral students are expected to include courses from beyond the traditional realm of computer science. Students are encouraged to consider research topics that combine computer science with other disciplines. The Department has a broad range of secondary faculty appointments with primary interests in other fields who may be used as a student's thesis advisor. Minimum Requirements for Admission into the PhD Program A Bachelor's degree and satisfactory scores on the Graduate Record Examination (GRE) general section are required of all applicants. Applicants will be evaluated based on their potential for excellence in research, as judged from their academic background, test scores, relevant experience and letters of recommendation. We admit students who we believe are most likely to succeed and thrive in the program. See the next section for complete application packet requirements and deadlines. Applicants whose native language is not English or whose formal education has been conducted in a language other than English must have a Test of English as a Second Language (TOEFL) score of 550 (or 213 with computer-based test or 90 with Internet-based test) or above. To be considered for financial assistantship from the University, applicants must have a TOEFL score of 600 (or 250 with computer-based test or 100 with Internet-base test) or above. Applicants who have strong academic records in a different discipline and lack an acceptable computer science background (normally including at least courses in Data Structures, Computer Organization, and Programming Languages) may be accepted provisionally. Provisionally accepted students will be required to complete an approved program of remedial work within their first year of study. Applying to the PhD Program A student interested in a PhD degree in Computer Science must submit a complete application packet including: the application form complete collegiate transcripts statement of purpose and experience (available as part of the packet) three reference letters Graduate Record Exam (GRE) general scores Test of English as a Second Language (TOEFL) score if your native language is not English or if your formal education has been conducted in a language other than English. [-]

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 color science, elective courses appropriate for the candidate’s background and interests, a three quarter research project during the second year of study, and a research dissertation. Students must pass a qualifying examination during their second year of study and a candidacy examination at least one year before completing their dissertation. Candidates who wish to enter the program but lack adequate preparation might have to take as many as 36 credits of undergraduate foundation courses in mathematics, statistics, computer science, and general science before matriculating with graduate status.... [-]


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. ... [-]

PhD in Management Information Systems

Washington State University Carson College of Business
Campus Full time September 2017 USA District of Columbia

The Ph.D. in IS at WSU focuses on behavioral issues in MIS, enabling students to develop critical skills in both research and teaching, and therefore compete for, and succeed in, the best academic jobs [+]

PhD in Information Systems

 

The Ph.D. in IS at WSU focuses on behavioral issues in MIS, enabling students to develop critical skills in both research and teaching, and therefore compete for, and succeed in, the best academic jobs in the country.  Admission Requirements

Candidates must reach a minimum admissions index score of 1250 to be considered for admission. The index is based on the formula GPA x 200 + GMAT. There is not a minimum GMAT score. However, sucessful candidates typically exceed 650. GMAT score report code 09D-TL-81 Pearson Test of English score report code: 8Z2-GT-38

 

 

General Competency In general, students accepted in the program need to satisfy the following requirements:     •    A Master's degree (M.S., M. A. in a related discipline, or preferably MBA), although outstanding applicants with bachelor's degree will be considered.... [-]