Doctorate Degrees in Information Systems

Compare 23 PhD Programs in Information Systems

Information Systems

Information Systems have become central to the functioning of virtually everything in the digitalized age we are living in. Take a PhD in Information Systems and mix business with pleasure – get a prestigious academic degree in a challenging field of major importance.

The aim of the PhD in Information Systems degree is to provide students with the understanding of all major aspects of information systems. Apart from core course common to all students, candidates are free to choose their own preferred area of specialization, whether it is IT capabilities, decision support tools, leveraging IT value or individual use of information technologies. All students will be able to benefit from the available academic resources, contact with renowned professors and networking with fellow students from all over the world. The PhD degree in information system can be taken both part time and full time in order to suit the needs of the students best.

Take a PhD in Information Systems and secure yourself a prosperous career in an exciting field. Have a look at the schools listed below, find the one you like best and contact them directly.

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Doctoral Programme in Informatics

University of Minho - School of Engineering
Campus Full time 8 semesters October 2017 Portugal Braga

The Doctoral Program on Informatics aims at promoting excellence and research in Informatics and associated theoretical fundaments, providing high quality advanced training, based on own research, with international recognition. [+]

PhDs in Information Systems. Doctoral Programme in Informatics The Doctoral Program on Informatics aims at promoting excellence and research in Informatics and associated theoretical fundaments, providing high quality advanced training, based on own research, with international recognition. The current study program allows a solid training of human resources in several areas of Informatics, which are able to take on autonomous scientific research, contributing to the progress of science, the deepening of technological evolution and the widening of its applicational spectrum. The program will endow students with competences, abilities and methods of research that assure the capacity to design, adapt and implement high level scientific research projects, according to internationally accepted quality and innovation standards. The course also aims to equip the industry sector with experts capable of responding to challenges and implement solutions, while prospectively contributing to the development of new business areas and opportunities. Access to higher education The conclusion of this Doctoral degree allows the realization of research activity at post-doctoral level. Access forms Access to this cycle of studies requires an application to the School of Engineering of the University of Minho. Application deadlines 1st Phase 24th August to 4th September, 2015 (Academic Year 2015/2016) 2nd Phase 4th to 15th January, 2016 (Academic Year 2015/2016) 3rd Phase 4th to 15th January, 2016 (Academic Year 2016/2017) [-]

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. [+]

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 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. [+]

PhDs in Information Systems. 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). [-]

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... [-]


PDEng in Data Science

Eindhoven University of Technology
Campus Full time 2 years September 2017 Netherlands Eindhoven

Candidates for the PDEng Data Science are creative problem solvers with excellent technical skills, team players with eagerness to learn and with attitude that shows the responsibility for quality and quantity of knowledge gained. They have a solid background in Mathematics, Statistics, and Computer Science, and strong affinity with Data Science. [+]

PhDs in Information Systems. PDEng in Data Science The PDEng Data Science is a joint initiative of Eindhoven University of Technology, Tilburg University, and the Data Science Centre Eindhoven. Together they founded The Jheronimus Academy of Data Science (JADS). The academy is a thriving data science community, in which postgraduate education, innovation, entrepreneurial activities, lifelong learning, and scientific research are integrated. A major part of the PDEng program Data Science is related to real-life, cross-functional projects with partners in the data science ecosystem. The academy is located in the city of 's Hertogenbosch, in the former convent Mariënburg. Data Science is concerned with the problem of finding patterns and creating value from vast streams of data in the context of a data domain. The main themes of the program are: Collect, explore, analyze, interpret, and present huge data sets Approach data and domain problems from multiple perspective Create value for organizations by designing novel data driven solutions The program combines statistics, computer science, mathematics, and design theory with the business acumen to explore data sets, gather insights, visualize results, and communicate meaningful findings to stakeholders taking into consideration underlying ethical and legal aspects. Creative problem solvers Candidates for the PDEng Data Science are creative problem solvers with excellent technical skills, team players with eagerness to learn and with attitude that shows the responsibility for quality and quantity of knowledge gained. They have a solid background in Mathematics, Statistics, and Computer Science, and strong affinity with Data Science. A Data Science graduate: Properly applies techniques from statistics, computer science, and mathematics in a variety of data domains. Shows curiosity with the desire to discover, distill, and model a problem down to a clear set of concepts and hypotheses to be tested. Uses data to tell a story and communicate that story effectively to stakeholders. Demonstrates cleverness to look at a problem in different creative ways. Collaborates in teams and with a variety of stakeholders to get optimal results. PDEng degree When you successfully complete the program, you will receive a certified diploma. You are entitled to use the academic degree Professional Doctorate in Engineering (PDEng). More information? For more information about the program or our application procedure please check www.jads.nl/pdeng or contact DPdatascience@tue.nl. Admission and application Application is open to university graduates from the Netherlands and other countries. You will at least need a Master of Science degree or equivalent, preferably in the exact sciences. There will be an assessment and selection procedure before you can enter the PDEng program. The PDEng programs use strict selection criteria to ensure the required high quality. Excellent marks, motivation and a design-oriented attitude are vitally important. You should also have an excellent command of the English language. Selection You can apply by sending your letter of application with a complete curriculum vitae and at least two letters of recommendation (in English). Suitable candidates will be invited for an interview with the selection committee of the relevant PDEng program. Each PDEng program has different starting dates, as well as its own specific admission requirements and selection procedure. The exact requirements and selection procedure for each program are listed on the program's website. Admission If you are selected for a PDEng program, you are appointed as a trainee for the duration of the program, up to two years. You are a member of the scientific staff and receive a salary in accordance with government regulations. Because you are a trainee, you do not have to pay a tuition fee. [-]

Doctorate in Strategic Information Systems Analysis

ABMS The Open University Of Switzerland
Online & Campus Combined Full time Part time 2 - 6 years Open Enrollment Switzerland Zurich + 1 more

Information technology (IT) is a strategic asset that is being used to mould competitive strategies and change organisational processes. [+]

Information technology (IT) is a strategic asset that is being used to mould competitive strategies and change organisational processes. As IT and its uses become more complex, developing strategies and systems to deliver the technology has become more difficult. The net result is a growing need for guidance on the issues, strategies, and tactics for managing the use of information technology. This unit is designed to cover various issues, strategies and tactics and to enable students to integrate concepts and theories learned during previous study or in their careers to date. This unit provides an overview of the responses required by organisations to manage the transition to an e-commerce/e-business environment supported by new technology. It will help to develop a critical understanding of the problems and opportunities faced by organisations in effectively planning, developing and managing information systems (IS). It incorporates strategic management concepts to ensure that IS development supports the business strategy, and progresses through suitable planning methodologies to implementation and evaluation (audit). In our doctorate programs, you will: Develop and practice innovative research methods. Earn the highest quality of education. Achieve the expertise to publish in peer-reviewed journals. Become a successful doctoral researcher and educator. Study Language: this study program taught entirely in English. We have 4 intakes per year: January, April, July and October The Doctorate will take your leadership to the next level. In our doctoral programs, you will: Study and apply innovative research methods. Combine applied research and professional practice. Prepare to make an impact in policy and practice. Learn strategies to facilitate more effective, adaptable organizations and create positive change. Become a more innovative leader in your field. Modules: Global Management Strategic Management and Leadership Project Management Strategic Information System Analyses Accounting and Finance Research Methods Electronic Research Methods Dynamic Websites Admission Requirements: Duration: one-year Study program + Thesis (thesis takes from 1 - 4 years) Diploma: DBA in Strategic Information Systems Analysis Age: Minimum age 25 years Previous study: Master or equivalent OR 7 years Management Experience + a Bachelor or equivalent English level: IELTS or equivalent (Only for students from non-English speaking countries or students who did not study at English speaking school) Study Method: Online Fee: 12950 Euro Note: Study fee does not include application and reservation fee (to guarantee you a study place) of 240 Euro (onetime payment and non-refundable). European Qualifications Framework: this program is equivalent to EQF Level 8 (doctoral level) [-]

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. [+]

PhDs in Information Systems. 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 Information and Knowledge Management

University of Hradec Králové, Faculty of Informatics and Management
Campus Full time 4 years September 2017 Czech Republic Hradec Králové

The graduate of the doctoral study in Information and knowledge management is a theoretically well-prepared professional capable of conceptual thinking. He is able to analyse information and knowledge needs of organisations, design and manage the development of systems effectively supporting the company knowldege. [+]

PhD Information and Knowledge Management The main research topics are information systems design methodologies, advanced techniques in information and knowledge processing, ambi The graduate of the doctoral study in Information and knowledge management is a theoretically well-prepared professional capable of conceptual thinking. He is able to analyse information and knowledge needs of organisations, design and manage the development of systems effectively supporting the company knowldege. Entrance Requirements for the Candidate The candidate has to be a Master’s degree graduate specialised in economics or informatics or another closely related field of study. In the field of economics the candidate is required to attain a university-level of understanding in macro- and micro-economics, enterprise economy and individual essential economic disciplines as well as the application of technical, programming and communication skills in management; ways of acquiring information from information sources. Also we demand active command of English and passive knowledge of one other foreign language. Organization The studies follow common Study and Examination Rules of the doctoral study programme. Specific organisational problems, which may occur, are discussed here in greater detail. The study programme is outlined in such a way that students of each of the two mentioned fields of study attend the compulsory common basics consisting of four subjects: selected questions on the theory of economics general systems theory statistical and mathematical methods in management information and knowledge systems The student takes on at least two other subjects in addition to this common basic which are close to the chosen field of his or her studies. Graduation Requirements 180 credits or more oral defence of the doctoral thesis passing the state doctoral exams The duration of the programme: 4 years The tuition fee for one academic year: 4000 EUR. The deadline for submitting applications: 31st March [-]

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. [+]

PhDs in Information Systems. 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 General Questions of Mathematics and Information Science

Charles University Faculty of Mathematics and Physics
Campus Full time Part time 4 years October 2017 Czech Republic Prague + 1 more

PhD studies are aimed at secondary teachers graduated in mathematics or information science as a teaching subject and at university teachers of mathematics, information science or didactics of these subjects. [+]

PhD studies are aimed at secondary teachers graduated in mathematics or information science as a teaching subject and at university teachers of mathematics, information science or didactics of these subjects. The main aim is to prepare good mathematicians or information scientists with a deep knowledge of the fields immediately related to their work and with the broad general orientation in the present textbooks, the modern mathematical methods, the history of mathematics as well as in the development of teaching mathematics. The attention is paid to the preparation of teachers qualified for the teaching work in general and for working with the talented students in particular, who will be able to write teaching textbooks, including a methodological commentary and analysis of difficult issues. Tuition Fee: 6000€ [-]

Doctor of Engineering - Information Technologies

Latvia University of Agriculture
Campus Full time 3 years September 2017 Latvia Jelgava

The Doctoral programme is developed based on Law on Institutions of Higher Education and Law on Scientific Activity of the Republic of Latvia, Cabinet of Ministers Regulations No.1001 (27 December 2005) On the Procedure of and Criteria for Awarding of Doctoral Scientific Degree (Promotion) and programmes for recommendations of accredited experts. [+]

PhDs in Information Systems. The Doctoral programme is developed based on Law on Institutions of Higher Education and Law on Scientific Activity of the Republic of Latvia, Cabinet of Ministers Regulations No.1001 (27 December 2005) On the Procedure of and Criteria for Awarding of Doctoral Scientific Degree (Promotion) and programmes for recommendations of accredited experts. Aim The aim of Doctoral studies is to promote the development of information technology engineering and build a new generation of internationally highly qualified scientists in information technology engineering sub-sector, as well as to ensure the continuity of academic and scientific personnel at the Information Technology Faculty (the ITF). Assignments According to the programme, the main assignments for the doctoral students are as follows: - to solve scientific problems independently and competently; - to be competent in research methodology; - to gain extensive knowledge in the chosen field of science and bring their original contribution to its development; - to blend into a broader scientific context at national and international level with their own level of scientific research; - to be skilled both at working independently and in co-operation on a joint interdisciplinary scientific project development; - to gain teaching experience and skills to introduce their research findings to their national and international audience, and - to develop and defend the PhD thesis. Sub-disciplines The scientific sub-sectors of Information Technology Engineering Doctoral Studies at the ITF are: - Computer Control (study courses by two directions Computer Control of Technical - Systems and Computer Control of Biosystems); - Systems analysis, modeling and design (study course Systems Analysis); - e-Learning Technology and Management (study course e-Learning Technology). The volume of the studies is divided into the following: Theoretical Studies (20 CP): - special course at scientific sub-sector or sub-direction – 6 CP, - special course in research direction – 6 CP, - professional foreign language course – 4 CP, - research methodology in information technologies – 4 CP. Scientific Work (100 CP): - research, development and preparation of PhD thesis – 60 CP, - publishing results of the research – 20 CP (including course Preparation of Scientific Articles – 3 CP), and - presenting results at international scientific conferences – 20 CP. Scientific Work: - The scientific work by doctoral students is carried out independently under supervision of a scientific supervisor. The scientific supervisor follows the progress of scientific work and helps organising international co-operation, international training courses, and participation in conferences and performing in them. - The students during their scientific work may acquire courses which have not been included within the framework of the theoretical studies (in co-ordination with the scientific supervisor). - The students during their scientific work have an opportunity to collaborate with specialists or doctoral students from other faculties of LUA in development of joint interdisciplinary research. - The main results of scientific work are international publications and PhD thesis. [-]

PhD in Informatics – New Media and Pervasive Systems

Universidade Lusófona de Humanidades e Tecnologias
Campus Full time 3 years October 2017 Portugal Lisbon

The following may apply for the Doctoral Programme: a) People who hold a master's degree or legal equivalent degree; b) People who hold a B.A., people who have an especially relevant school or scientific curriculum that is acknowledged as certifying; c) People who speak and write fluently English. [+]

PhD in Informatics – New Media and Pervasive Systems

Programme Director

Professor Doutor Paulo Mendes

Secretariat

Anabela Moura

Entrance Conditions

The following may apply for the Doctoral Programme:

a) People who hold a master's degree or legal equivalent degree;

b) People who hold a B.A., people who have an especially relevant school or scientific curriculum that is acknowledged as certifying capacity to obtain this study cycle by the Doctoral Programme's Scientific Committee;

c) People who have a school, scientific and professional curriculum that is acknowledged as certifying capacity to obtain this study cycle by the Doctoral Programme’s Scientific Committee.For further information pls visit the webpage at: http://nemps.ulusofona.pt/ or send en e-mail to nemps-sec@ulusofona.pt.... [-]


PhD in Information Systems

Singapore Management University PhD Programmes
Campus Full time 4 - 5 years August 2017 Singapore

The Singapore Management University (SMU) PhD in Information Systems programme develops researchers and educators who address deep technology challenges in real information systems that impact business processes or management, or who develop tools and methodologies. Our faculty members consistently publish in top-tier business journals and win awards with our PhD students in internationally-renowned... [+]

PhDs in Information Systems. The Singapore Management University (SMU) PhD in Information Systems programme develops researchers and educators who address deep technology challenges in real information systems that impact business processes or management, or who develop tools and methodologies. Our faculty members consistently publish in top-tier business journals and win awards with our PhD students in internationally-renowned conferences. There are five niche areas of research concentration, namely: Cybersecurity, Data Management & Analytics; Information Systems & Management; Intelligent Systems & Decision Analytics; and Cyber-Physical Systems. Our graduates are trained to collaborate with researchers from different disciplines. They are also trained in design technology solutions for real-world problems and applications, and produce top-rated academic publications. The programme equips them for careers with research and development laboratories, academia and industry. PhD in Information Systems Programme Structure The PhD in Information Systems is a full-time programme, with a maximum candidature of five years. In the first two years of study, students will enrol in intensive courses to build their research depth and breadth. The coursework is intended to prepare students for dissertation research. Students are required to sit for a PhD Qualifying Examination (QE) to assess their mastery of fundamental concepts and theories. On successful completion of the QE, the student will be ready to embark on the dissertation, which is based on original, independent research. Framework - Coursework (6 Course Units) - Empirical Research Projects (4 Course Units) - Advanced Research Topics (2 Course Units) - Dissertation (28 Course Units) Oral Defence of the Dissertation Proposal This is an oral presentation of the proposed topic to a Dissertation Committee. A written dissertation proposal will have to be submitted before the presentation. A supervisor, with the expertise in the chosen topic, will be appointed. He or she guides and mentors the student throughout the dissertation work. Oral Defence and Completion of the PhD Dissertation This is an oral presentation of the written dissertation report to the Committee. After possible revision(s) to the report and upon fulfillment of all necessary requirements, the Committee will recommend to the University to award the PhD degree. Admission Requirements - At least a good Bachelor’s degree - Good GRE or GMAT results - Good TOEFL or IELTS scores (for applicants whose medium of instruction at the Bachelor’s/Master’s level was not in English) PhD Students’ Professional Development Students are also provided professional training. These include teaching, English communications and presentation skills, as well as career development workshops such as interview preparation. Furthermore, students also have opportunities to share their research contributions with the international research community through reputable refereed research conferences, in Singapore and abroad. SMU provides funding for our students to attend such conferences. [-]

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

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.... [-]