Doctorate in Information Systems in North America

Compare PhD Programs in Information Systems in North America 2017

Information Systems

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.

Future research scholars have a chance to train and do quality research in Information Systems. The program focuses on exposing learners to analysis and understanding of communications and information technologies on organizations, society and individuals. The course is offered in Europe, America, China and other places in the world.

The United States of America commonly called the United States, is a federal republic consisting of fifty states and a federal district. The 48 contiguous states and the federal district of Washington, D.C. are in first North America between Canada and Mexico. The state of Alaska is in northwestern North America, west of Canada and east of Russia across the Bering Strait, and the state of Hawaii is an archipelago in the mid-North Pacific. The country also has five populated and nine unpopulated territories in the Pacific and the Caribbean.

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Doctor of Information Technology (D.I.T.)

Walden University
Online March 2017 USA USA Online

In Walden’s online Doctor of Information Technology (D.I.T.) program, students can gain advanced knowledge in the field of information technology and also acquire the strategic leadership skills needed to guide organizations through critical IT-related challenges. [+]

Successful leaders in today’s IT industry possess more than just the technical skills necessary to comprehend evolving technology. They also must have an essential understanding of how organizational structure and operational functions can impact growth and success.

In Walden’s online Doctor of Information Technology (D.I.T.) program, students can gain advanced knowledge in the field of information technology and also acquire the strategic leadership skills needed to guide organizations through critical IT-related challenges.

This program prepares students for key IT and leadership positions within organizations and consulting firms as well as roles in academia. Through problem-based learning simulators, research seminars, residencies, and other learning opportunities, you will analyze relevant IT scenarios to develop solutions you can implement in your workplace. By pursuing your doctorate in information technology, you will explore qualitative and quantitative research methods and complete a doctoral study demonstrating your ability to examine, critique, and synthesize knowledge, theory, and experience in an applied IT project.Curriculum... [-]


PhD Analytics and Data Science

Kennesaw State University
Campus Full time 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. [+]

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 Full time 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. [+]

Doctors of Philosophy in Information Systems in North America 2017. 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. [-]

Doctor of Philosophy in Engineering Management (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 Engineering Management and Systems Engineering (EMSE), the M.S., Ph.D., and certificate programs in Engineering Management are designed to prepare technical managers who need a broad education in order to keep an organization operating efficiently and working ahead of its competitors. [+]

Program Overview Offered through the Department of Engineering Management and Systems Engineering (EMSE), the M.S., Ph.D., and certificate programs in Engineering Management are designed to prepare technical managers who need a broad education in order to keep an organization operating efficiently and working ahead of its competitors. The Engineering Management program provides a graduate education in the latest management techniques for technical and scientific organizations. Doctor of Philosophy in Engineering Management (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 Prerequisite courses: Math 1231 Single Variable Calculus I Math 1232 Single Variable Calculus II APSC 3115 Engineering Analysis III Qualifying exams Proposal defense Final exam Post-graduate survey Course work The program is divided into two stages. The first comprises a study of related fields of learning that support the general area of research focus and culminates in the qualifying examination. The second, composed of original research and the presentation of findings in a written dissertation, culminates in the final examination. Upon admission to the first stage of the program, the student will meet with their assigned advisor to structure their programs of study. Programs of study will include a focus area selected from the following: Engineering Management Crisis, Emergency and Risk Management Economics, Finance and Cost Engineering Engineering and Technology Management Environmental and Energy Management Knowledge and Information Management Students who already have a master’s degree must complete a minimum of 30 credit hours at the graduate level, all of which must be completed by the end of the semester in which they take their doctoral qualifying exams (DQE) . For students without master's degrees, a minimum of 54 credit hours in a formal program at the graduate level is required. In addition, all doctoral students take a minimum of 24 hours of dissertation research once they have been admitted to candidacy (post DQE). Program Prerequisites The following courses or their equivalent are prerequisites for the D.Sc. program and are required in addition to the credit hours discussed above: Math 31 Single-Variable Calculus I Math 32 S Single-Variable Calculus II APSC 3115 Engineering Analysis III If not met at admission, these courses must be completed within the first year of study. The Doctoral Program Coordinator will evaluate doctoral students after one year of study and any student who has not completed his/her prerequisites by that time will be in violation of their admissions contract and barred from further study. Core Courses All doctoral students are required to take the following three courses: EMSE 6765 Data Analysis for Engineers and Scientists (Offered in Spring and Fall) EMSE 8000 Research Formulation in EMSE (Offered in the Spring) EMSE 8001 Survey of Research Methods in EMSE (Offered in the Fall) It is recommended that students select an additional advanced methods course relevant to their doctoral work. 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 an appropriate 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. 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). [-]

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. [+]

Doctors of Philosophy in Information Systems in North America 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. [-]

PhD in Information Systems

University of North Carolina Greensboro
Campus Full time 4 - 7 years August 2017 USA Greensboro

The PhD in Information Systems (IS) at UNC Greensboro is an innovative, research-oriented doctoral program designed to prepare students primarily for careers as members of faculty in academic IS units and secondarily as professionals in non-academic research and professional organizations. The program focuses on developing traditional technical and empirical research skills and is also characterized by four distinctive elements that enhance the traditional model: a commitment to practical relevance an emphasis on producing quality teachers a research apprenticeship requirement interdisciplinary research. In addition, interested students can enhance their studies with an emphasis in global information technology. [+]

The PhD in Information Systems (IS) at UNC Greensboro is an innovative, research-oriented doctoral program designed to prepare students primarily for careers as members of faculty in academic IS units and secondarily as professionals in non-academic research and professional organizations. The program focuses on developing traditional technical and empirical research skills and is also characterized by four distinctive elements that enhance the traditional model: a commitment to practical relevance an emphasis on producing quality teachers a research apprenticeship requirement interdisciplinary research In addition, interested students can enhance their studies with an emphasis in global information technology. Program Objectives Provide training in basic and advanced information systems theory and practice so that students master the technical and conceptual tools needed for conducting high-quality IS research. Provide advanced, specialized training in a number of IS disciplines such as enterprise resource planning, global information technology, information resource management, artificial intelligence, data mining, data warehousing, e-commerce, knowledge management and supply chain management so that students acquire expertise that can be applied in a wide range of academic, government and private sector environments. Afford structured and supervised research experiences so that students develop the technical, conceptual and communication skills that are required to conduct high-quality, independent research. Provide instructional development so that students will be effective teachers. [-]

PhD in Management Information Systems

University of Illinois at Chicago, Liautaud School of Business
Campus Full time 2 - 4 years August 2017 USA Chicago

The PhD in Management Information Systems (PhD in MIS) provides graduates with theoretical knowledge and methodological skills to help them establish successful careers as productive researchers, scientists and scholars at leading universities and research institutes as well as industrial or business organizations. Both the technical aspects and the organizational impact of information management are stressed. [+]

Doctors of Philosophy in Information Systems in North America 2017. The PhD in Management Information Systems (PhD in MIS) provides graduates with theoretical knowledge and methodological skills to help them establish successful careers as productive researchers, scientists and scholars at leading universities and research institutes as well as industrial or business organizations. Both the technical aspects and the organizational impact of information management are stressed. The PhD in MIS provides students with: An interdisciplinary business understanding of how technology can affect an organization’s behavior, structure, and function A thorough grounding in the fundamental concepts of the design, development, use and application of information and communication technologies in an organizational setting Original knowledge in IS research A STEM Degree Program We are pleased to announce that the UIC Liautaud Master and PhD level programs in Management Information Systems have been approved as STEM (Science, Technology, Engineering, and Mathematics) - Designated Degree Programs. Under the Optional Practical Training (OPT) program, international students who graduate from colleges and universities in the United States are able to remain in the country and receive training through work experience for up to 12 months. Students who graduate from a designated STEM degree program can remain for an additional 17 months on an OPT STEM extension. Entry Requirements The UIC Liautaud Graduate School of Business uses a competitive selection process to identify highly motivated professionals looking to take their career to the next level. Prerequisites Master of Business Administration (MBA): we expect incoming students to have a statistics course with regression analysis within their academic history. This course may be taken before entering the program or during the first semester of study.

 Academic Record A business-related undergraduate degree is not required to be admitted to our masters programs. Applicants should have an undergraduate GPA of 3.0/4.0. If you are an international student, you are required to submit official transcripts and degree certificates so that we are able to verify the equivalent of a U.S. bachelor’s degree. Work Experience Work experience is an important criterion for being selected for the UIC Liautaud MBA program as we strive to create an environment where students learn from the professional experiences of one another.  This creates a dynamic learning environment which enhances the student’s overall experience in the program. Specialized master’s degree programs (MSA, MIS) do not use work experience as part of their selection criteria. Test Scores GMAT: Our average GMAT score for each incoming class is approximately 600, across all programs. Our typical score range is 500-700. The score is important as it helps determine your ability to perform well in our courses. 
 GRE: The admissions committee prefers a combined verbal/quantitative score of 300 or higher on the newest GRE scale. 

Please note that we do not waive these exams in lieu of work experience, prior degrees earned, prior academic performance/ GPA, or any other factors. GMAT and GRE scores are valid for up to 5 years. Please contact the testing company for full details.
 TOEFL:  Applicants whose native language is not English must take the Test of English as a Foreign Language (TOEFL) or IELTS. Paper-based exam - 550
Computer-based exam - 213
 
IBT Scores: 
Writing - 21
Speaking - 20
Listening - 17
Reading - 19
Total score - 80
 
IELTS Scores:
Listening - 6.0
Writing - 6.0
Reading - 6.0
Speaking - 6.0
Total Score - 6.5

Please note TOEFL/IELTS scores are valid for two years. Please contact the testing company for full details. Letters of Recommendation We require two letters of recommendation from references who know you in a professional manner and can attest to your professional abilities. Specialized master’s degree programs also accept letters from previous professors who can speak to your academic abilities. Personal Statement This section of the application provides you with the opportunity to discuss your career goals and why you think the UIC Liautaud program is a good fit. [-]

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.... [-]