Part time PhD Program in IT

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A PhD, also known as a Doctor of Philosophy degree, is a doctorate awarded by a university to the academic who has met all necessary qualifications and can now be considered a doctor in his or her academic field.

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PhD Analytics and Data Science

Kennesaw State University
Campus September 2017 USA Kennesaw Marietta

Our Ph.D. program is traditional and innovative - applied and theoretical, a Ph.D. for the 21st century. Real-world application, with real-world data, drives our student's learning process. Take a glimpse at some of the exciting findings our students have uncovered as they apply their learning. [+]

Best Part time Doctorate Studies in IT 2017. Real-World Application The age of Big Data is here. Technological advances over the last century have created trillions of points of data. The challenge for organizations is how to turn all that data into useful information. People that have the skill to manage analyze and provide decision-making insights are in GREAT demand. Our Ph.D. program is traditional and innovative - applied and theoretical, a Ph.D. for the 21st century. Real-world application, with real-world data, drives our student's learning process. Take a glimpse at some of the exciting findings our students have uncovered as they apply their learning. Big Data - Big Change Big Data is changing not only the way we make decisions, but it’s changing the way we think about our health, our transportation, our finances, our communications…almost every dimension of our lives. Translating Big Data into meaningful information is the engine that drives discovery in Biology, Finance, Engineering, Marketing, Sociology, Chemistry and everything in between. The Ph.D. in Analytics and Data Science at Kennesaw State University is a cutting-edge interdisciplinary doctoral program that bridges the divide between application and theory, between academia and industry. The program integrates concepts from Computer Science, Mathematics and Statistics with applications in Business, Healthcare, Transportation and Public Policy, preparing the next generation of Data Scientists. Process Improvement Using a combination of Yelp reviews and Twitter data, with traditional predictive variables, KSU students have improved sales forecasting processes for several businesses – both large and small. Through mining Yelp reviews, students were able to provide these businesses with unexpected consumer insights – helping them to better serve their customers. New Insights Using data related to family engagement, physical wellness, mental outlook and diseases, this analysis resulted in the development of a new segmentation taxonomy, providing improved insights into the specific device needs of individuals as they age. Better Strategies Using this analysis, insights were developed related to how diseases progress and spread throughout a human population after a natural disaster, leading to better strategies for vaccination distribution and the optimal movement of supplies and materials. Pattern Analysis Using this analysis, insights were developed related to crime patterns based upon weather data. As a result, weather forecasts could be used to contribute to determining optimal law enforcement strategies. Finding Relationships Using data collected from the U.S. Department of Transportation Bureau of Transportation Statistics, KSU students were able to determine which factors caused the most delays in airline travel and used this information to minimize travel time when flying within the United States during the last three years. Data was also collected from the U.S. Energy Information Administration to show possible relationships between airline fuel and energy consumption and airline delays and cancellations. This information can be used by airlines to help in making decisions when weather and other mitigating circumstances make diverting and cancelling flights necessary. Making an Impact This analysis resulted in the identification of best practices to attract, retain and provide support for STEM education professionals across the individual sub disciplines of Chemistry, Biology, Mathematics and Physics in K-12 schools. The impacts include increasing student engagement and student intention to enroll in these disciplines after graduation. In 2015, the National Science Foundation recognized this research with a funded award to continue the development of STEM education insights and best practices. Innovating Analysis Instead of analyzing structured data from neat columns and rows of numbers arranged on spreadsheets, this new search algorithm allows researchers to utilize unstructured data, such as that which exists in email, tweets or texts, for example. They can also perform analysis on video and audio files. Curriculum The general structure of the KSU Ph.D. program will include three stages: Stage 1: Pre-Program Requirements Stage 2: Coursework Stage 3: Project Engagement and Research/Dissertation Students pursuing a Ph.D. in Analytics and Data Science would be required to take 48 course hours, 6 hours of electives spread over four years, dissertation research (12 hour minimum) and internship (12 hour minimum). In total, this degree is a minimum of 78 credit hours of courses, internship and dissertation. [-]

PhD in Information Studies

University of Maryland, College of Information Studies
Campus 4 years Open Enrollment USA College Park

The PhD program at Maryland's iSchool offers an interdisciplinary approach to research and teaching provided by faculty at this leading public research university. [+]

The PhD program at Maryland's iSchool offers an interdisciplinary approach to research and teaching provided by faculty at this leading public research university. Small classes and wide-ranging research projects enable you to work closely with faculty mentors to gain experience in identifying knowledge gaps, investigating both theoretical and practical solutions, evaluating results, and creating and disseminating new knowledge. A range of required research courses, two foundational doctoral seminars, and electives chosen by the students and their faculty mentors provide both the structure necessary for individuals to become successful researchers and the flexibility that allows them to pursue the research areas about which they are most passionate. We are looking for creative and forward-thinking individuals to take part in a transformative PhD experience. Successful candidates will gain knowledge of the foundations of the field of information studies, as well as a mastery of research methods and design. While gaining expertise of research in a specialized content area, you will also achieve proficiency in synthesizing and applying knowledge from a variety of areas. Maryland’s iSchool is at the center of groundbreaking research in the fast-moving field of information studies. With a multidisciplinary faculty studying such diverse topics as online communities, information systems, information policy, human-computer interaction, and digital cultural heritage, the iSchool cultivates doctoral students from a wide range of backgrounds. The PhD program offered at the iSchool provides students with training in interdisciplinary theory, research, and pedagogy as preparation for original research that connects communities, technologies, and information. Admission Requirements A four-year baccalaureate degree from a regionally accredited US institution, or an equivalent degree from a non-U.S. institution; GRE scores from within the past five years; For international students, a TOEFL score of 100 or higher. Additional admission requirements and information can be found on the PhD Admissions webpage. [-]

PhD in Computer Science & Information Engineering

National Central University
Campus Part time September 2017 Taiwan Taoyuan

We offer cross-disciplinary research opportunities that encourage innovation and collaboration across multiple disciplines, helping students become well-prepared engineers and researchers. [+]

Best Part time Doctorate Studies in IT 2017. Founded in 1981, the Department of Computer Science and information Engineering at National Central University initially offered a graduate degree only. After offering doctoral degree in 1988 and the undergraduate degree in 1992, the department quickly evolves and sets up a complete curriculum for computer science education and research. The department admits around 100 undergraduates, 100 students to the master program, 30 students to the part-time master program, and 25 students to the doctoral program each year. Our department has one of the most stringent academic programs in Taiwan. 
While placing emphasis on the core knowledge enabling students to apply their skills to many computer science and engineering disciplines, our program requires students participating in practical projects and provides numerous hands-on opportunities in collaborations with industry and government labs. We offer cross-disciplinary research opportunities that encourage innovation and collaboration across multiple disciplines, helping students become well-prepared engineers and researchers. Fundamental Courses & Professional Courses Network Performance Analysis: Queuing Theory Techniques and Algorithms for WWW (Information Systems) Wireless Multimedia System Advanced Data Structures Artificial Intelligence Advanced Algorithms for Distributed Computing Interactive Computer Graphics in Game Designs Information Retrieval and Extraction Intelligent Surveillance Machine Learning Computational Geometry Interactive Technologies for Rehabilitation Requirements for Graduation Required credits : 18 credits Duration of Study : 2~7 years Other requirements : Seminars for 2 semesters. Special Topics in Computer Science for 6 semesters Research Facilities & Lab Artificial Intelligence and Pattern Recognition Lab Computational Intelligence and Human Computer Interaction Lab Distributed System Lab Image Processing and Virtual Reality Lab Mobile and Broadband Networks Lab Software Engineering Lab Admission Documents Autobiography Research Proposal Two Letters of Recommendation TOEFL or Other Evidence of English Proficiency Evidence of Chinese Proficiency Related Academic Publications [-]

Doctor of Philosophy

Amity University in London
Campus 3 - 3 years August 2017 United Kingdom London

In collaboration with the University of Bolton, Amity offers doctoral programmes for research in business management and information technology. [+]

In collaboration with the University of Bolton, Amity offers doctoral programmes for research in business management and information technology. As a doctoral student, you are expected to contribute to the advancement of knowledge in your chosen academic field. It is a challenging pursuit but a rewarding one, and succesful research serves to help the work of an international community of fellow researchers and professionals. Students undertake training in research methods, participate in research seminars and design and implement their own research to enable them to generate significant new knowledge. In applying for doctoral study, applicants are required to submit a detailed research proposal, setting out the general area of research, the intended contribution to the field of study, an indication of the research methods to be followed, and a full bibliography. Applications are accepted on the strength of the research proposal, as well as an applicant's motivation and prior academic attainment as the main factors leading to confidence in their chances of completion. The degree of Doctor of Philosophy (PhD) is awarded in recognition of independent research conducted within a supervised programme of study, completed within the allocated time and judged to constitute an original contribution to learning. The student must demonstrate the ability to relate the research results to the general body of knowledge of the subject. Assessment is based upon the final thesis and performance in a 'viva voce' oral examination. [-]

Doctor of Philosophy in Information Technology

Infrastructure University Kuala Lumpur
Campus Part time 3 - 5 years January 2017 Malaysia Kajang

This programme aims to develop and nurture research-oriented Information Technology professionals who are sensitive to the current global multicultural and multinational environment in the corporate world. [+]

Best Part time Doctorate Studies in IT 2017. This programme aims to develop and nurture research-oriented Information Technology professionals who are sensitive to the current global multicultural and multinational environment in the corporate world. Key Features Deepen and extend knowledge and understanding of Information Technology in the international context. Increase expertise in key areas such as Information Technology, Computer Science, and Information System and to broaden the range of professional roles. Develop independent research skills and gain insight into Information Technology issues, trends and challenges in the global context. Course Structure Phase I Research Methodology (3 Credit Hours) Phase II – Elective Post-Doctoral Seminar / Advance Statistics / Advanced Algorithm (3 Credit Hours) Phase III Thesis (9 Credit Hours) Admission Requirements A Master's Degree, as accepted by the Senate of IUKL; OR Other qualifications equivalent to a Master's Degree that are accepted by the Senate of IUKL; AND Candidate must have completed at least ONE (1) of their earlier degrees (Master's or Bachelor's) in Computing or related to computing For local applicants, sufficient mastery of the English language to satisfactorily complete the course (where necessary candidates may be required to sit for an English language proficiency test (EPT). International applicants who originate from a country where English is the native language; OR are required to have a minimum score of TOEFL 550 OR IELTS 6.0.; OR have attained a degree from a university where the medium of instruction is in English. Fee Structure MALAYSIAN STUDENTS Tuition Fees RM28,200.00 Deposit (Refundable) RM300.00 Insurance RM70.00/year Total Fees (Approximate) RM28,700.00 INTERNATIONAL STUDENTS Tuition Fees RM28,500.00 Caution Fee (Refundable) RM1,500.00 International Student Administrative Fee RM4,200.00 Medical Insurance RM500.00/year Visa Processing RM360.00/year Medical Examination RM250.00/year Total Fees (Approximate) RM36,500.00 [-]