Part time Doctorate Program in Informatics

Compare Part time PhD Programs in Informatics 2017

Informatics

The PhD is a doctoral degree, specifically called a "doctor of philosophy" degree. This is misleading because PhD holders are not necessarily philosophers (unless they earned their degree in philosophy!). That said, PhD recipients are able to engage in thought experiments, reason about problems, and solve problems in sophisticated ways.

This is an advanced study that enables you to have a better understanding of the informatics area of specialization. With this study, you can give a scholarly contribution to this area of study by bringing real solutions to people using the technology.

Request Information Part time Doctoral Programs in Informatics 2017

Read More

Doctoral Programme in Informatics MAP-i

University of Minho - School of Engineering
Campus 3 - 4 years October 2017 Portugal Guimarães

The MAP Doctoral Program in Computer Science consists of a first curricular year starting in the fall and divided into two semesters. The first semester features four courses chosen in the areas foundations of computing, programming paradigms and information technologies and a seminar on research methodologies which includes working visits to MAP associated research centers and laboratories. In the second semester, the students are offered a number of optional courses taught by professors from MAP universities and leading scientists from abroad. The graduate students are expected to take some credits in matters not directly related to their field of study. [+]

Best Part time Doctorate Programs in Informatics 2017. Doctoral Programme in Informatics MAP-i The MAP Doctoral Program in Computer Science consists of a first curricular year starting in the fall and divided into two semesters. The first semester features four courses chosen in the areas foundations of computing, programming paradigms and information technologies and a seminar on research methodologies which includes working visits to MAP associated research centers and laboratories. In the second semester, the students are offered a number of optional courses taught by professors from MAP universities and leading scientists from abroad. The graduate students are expected to take some credits in matters not directly related to their field of study. In the first year, the student must choose his topic of dissertation from a list of possible research projects. Based on this choice, the student must prepare his thesis proposal, during the second semester, which includes an extensive review of the state of the art, a set of detailed objectives and methods, outline of potential contributions and a road map to achieve them. The thesis proposal is discussed with a jury in the end of the first year. Following this curricular year, which is worth 60 credits in the European Credit Transfer System (ECTS), the graduate student enters the research and thesis development phase, which lasts for 2 to 3 years and corresponds to at least 120 credits. Students may choose to follow the program as full-time students or, if they are working in a company or in a research project, may prefer to enroll as part-time students in 30 credits per year, paying 60% of the fees. In terms of organization, the MAP universities agreed upon a general model, in which the curricular part is taught entirely in one of the institutions, rotating every year between Minho, Aveiro and Porto. Each student receives individual guidance by a mentor, until he gets a supervisor. After the first year, the student moves to the university and research group of the supervisor. Beyond the regular thesis supervision, the student's progress will be monitored by a PhD committee consisting of two other recognized experts in the field, one of which from an outside institution. Submission of the thesis and thesis defense follow standard international practice. A student will be awarded a doctorate, in the form of a joint PhD degree by the Universities of Minho, Aveiro and Porto, if his thesis is judged to represent an original contribution to knowledge in the chosen area. [-]

Doctoral Programme in Informatics

University of Minho - School of Engineering
Campus 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. [+]

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 Analytics and Data Science

Kennesaw State University
Campus September 2017 USA Marietta Kennesaw

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 Programs in Informatics 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. [-]

PDEng in Clinical Informatics (CI)

Eindhoven University of Technology
Campus 2 years October 2017 Netherlands Eindhoven

The Clinical Informatics programme is geared towards the design of information systems in healthcare. The CI trainees develop an in-depth understanding of the technical aspects and the user requirements within the healthcare domain. IT knowledge, but also knowledge of clinical, as well as business processes is crucial to the design of optimal solutions, which really support the professionals in healthcare. [+]

Best Part time Doctorate Programs in Informatics 2017. PDEng in Clinical Informatics (CI) TU/e offers two-year (post-Master's) designer's programs. Like a doctoral candidate, you will have the status of TU/e employee if you are selected for one of these programs. The programs start with a year of advanced education, followed by a major design project of eight to twelve months in a company. The designer's programs lead to a Professional Doctorate in Engineering (PDEng degree). These programs are given under the banner of 3TU.School for Technological Design, Stan Ackermans Institute, a joint initiative of the three universities of technology in the Netherlands. The program is also part of the School of Medical Physics and Engineering Eindhoven (SMPE/e; www..smpee.nl). In this school is geared to the education of young (technolical) professionals in the healthcare arena. Clinical Informatics (CI) The Clinical Informatics programme is geared towards the design of information systems in healthcare. The CI trainees develop an in-depth understanding of the technical aspects and the user requirements within the healthcare domain. IT knowledge, but also knowledge of clinical, as well as business processes is crucial to the design of optimal solutions, which really support the professionals in healthcare. The programme is carried out in close cooperation with hospitals and other care institutions all over the Netherlands. All trainees in the programme are required to be fluent in Dutch. CCTO Certification This program is recognized as a PDEng program by the CCTO, the Dutch certification institute for technological designer programs. 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. [-]

PhD in Informatics and Computing

Northern Arizona University
Campus 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. [-]

PhD in Computer Graphics and Image Analysis

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

PhD in Computer Graphics and Image Analysis [+]

Best Part time Doctorate Programs in Informatics 2017. Tuition Fee: 6000€ [-]

PhD in Informatics

Czech Technical University in Prague
Campus Part time 4 years October 2017 Czech Republic Prague

How to become a Ph.D. student at the Faculty of Information Technology? [+]

Fields of study Informatics Entrance Exams NON Entrance Requirements fully completed application form documents showing results in previous studies evidence of significant personal achievements in mathematics, physics, informatics, or similar disciplines and successful participation in secondary school competitions or projects certificate that demonstrates proficiency in English Level of English comparable to or exceeding B2 level CEFRL Scholarship yes How to become a Ph.D. student at the Faculty of Information Technology? Choose a preliminary theme of your doctoral thesis and contact the relevant supervisor. Together, create a more detailed specification of your chosen topic. Read the conditions for admission to the doctoral study programme Informatics, the respective Dean’s Directive (which contains complete instructions for the applicants including the bank account number for payment of the admission fee) and fill in the relevant forms. The forms are available online: forms Electronic form for an application. After filling in the application form must be printed, signed and sent or delivered to the Office of Science and Research FIT CTU! Also read the relevant regulations concerning the doctoral study program. All important dates regarding the doctoral study are listed in the overview of the doctoral study programme. [-]

PhD in Elec­trical Engineering and Information Technology

Czech Technical University in Prague
Campus Part time 4 years October 2017 Czech Republic Prague

A Doctoral Study Programme (DSP) is the highest education available, aimed at further education of excellent holders of a Master Degree. [+]

Best Part time Doctorate Programs in Informatics 2017. Fields of Study Acoustics Electric Machines, Apparatus and Drives Electric Power Engineering Electronics Electrotechnology and Materials Plasma Physics Information Sciences and Computer Enginering Mathematical Engineering Measurement and Instrumentation Air Traffic Control Radioelectronics Control Engineering and Robotics Business Management and Economics Telecommunication Engineering Electrical Engineering Theory Artificial Intelligence and Biocybernetics Essential Information about Doctoral Studies A Doctoral Study Programme (DSP) is the highest education available, aimed at further education of excellent holders of a Master Degree. Study in the Doctoral Study Programme Doctoral study at CTU in Prague is pursuant to act No.111/1998 Coll., in accordance with Study and Examination Code for Students of the Czech Technical University in Prague, Rules of Doctoral Study at the CTU in Prague, Admission Procedures and Conditions of Study for Foreigners and the guidelines of individual faculties and institutes. A doctoral study programme at the Faculty of Electrical Engineering is divided into 16 branches of study. To be eligible for admission to doctoral study, applicants must hold a master degree (not a bachelor degree) in the same discipline or a related field. Admission to the programme is at the discretion of the Dean of the Faculty on the basis of the results of the selection procedure. Experience in the chosen field is not a condition of admission, and there are no age restrictions. Students in their final year of studies may also apply, their admission is conditional on graduation. Citizens of the Czech Republic, foreigners and persons without nationality, who are legally resident in the Czech Republic, may study in the doctoral programme. Applicants who are admitted to doctoral study become doctoral students of the FEE. The goal of doctoral study is to prepare graduates for scientific work. By attaining higher qualifications, including knowledge of foreign languages, Ph.D. graduates will significantly increase their career opportunities. A Ph.D. programme at the FEE is carried out through full-time and combined (part-time) forms of study. Full-time study at the FEE CTU generally takes 3 years for students enrolled before 1. 3. 2007 and 4 years for students enrolled after 1.3.2007, while combined form of study generally takes 5 years, with the option of interrupting the studies. Transfer between combined study and full-time study, or vice-versa, is possible on the basis of a recommendation by the Supervisor and a written statement from the doctoral student to the Dean of the Faculty. The Supervisor is appointed by the Dean. Supervisors are professors, associate professors (docents), or distinguished scholars. It is possible, with the agreement of the Supervisor and the appropriate Branch Board, to complete the study programme in a shorter time. Doctoral students studying at CTU are, for the duration of their studies, classified as regular tertiary students, with all associated rights and responsibilities. In both full-time and combined forms of study, doctoral students must submit their doctoral thesis within 7 years of the commencement of their studies. The studies take place according to an individual study plan, which designates the time allocated to study, specialised and scientific activities with plans for the development of the doctoral thesis, study at other workplaces (which may be outside the Czech Republic), designated minimum teaching duties, dates of examinations for courses taken, and other responsibilities. The individual study plan is specified by the Supervisor, after the doctoral student has expressed his/her agreement with it. Fulfilment of the coursework component (a study block) of the individual plan is completed by passing the prescribed examinations and by presenting and defending a specialised study (written report) on the current state of the subject in the world. It also comprises presentation of student's research work to scientific community. After successful termination of the study block, having passed the exam in English, it is possible to apply for the final comprehensive doctoral examination, in which the student should demonstrate his/her specialised theoretical knowledge, methods of scientific work, and the ability to acquire new scientific knowledge and to apply it creatively. This examination is conducted by the Board of Examiners for Comprehensive Doctoral Examination (Komise pro státní doktorskou zkouąku). Successful completion of this examination is a pre-requisite for the presentation and defence of the doctoral thesis. This thesis is a result of the solution of a specific scientific task; it proves the capability of a doctoral student to independently create his/her own work and must include original achievements of scientific work published by the author of the dissertation or results accepted for publication. The doctoral thesis must contain original new findings. The presentation and defence of the work is conducted by the Board for the Defence of a Doctoral Thesis (Komise pro obhajobu dizertační práce), and is open to the public. A single re-submission is allowed in the case of an unsuccessful final examination or an unsuccessful presentation and defence of the doctoral thesis. Based on the regular completion of study in a Ph.D. Programme, degree of "Doctor" (abbreviated to "Ph.D.") is obtained from The Czech Technical University in Prague. Doctoral studies can be prematurely ended by the student, on the basis of a written application. In the case of long-term neglect of responsibilities, the studies can be ended by a decision of the Dean or the Director of the institute. [-]

PhD in Environmental informatics

University of Göttingen
Campus 6 semesters October 2017 Germany Göttingen

Environmental informatics is understood to be an integrated subject consisting of bio-, eco-and geoinformatics in addition to scientific computing. [+]

PhD in Environmental informatics

 

Environmental informatics is understood to be an integrated subject consisting of bio-, eco-and geoinformatics in addition to scientific computing. By using the tools of informatics in this subject, anyone can study or model objects, structures, regulatory networks, processes (signals, materials and information flows) at various scales and integration levels. Under the umbrella of environmental informatics, the transfer of knowledge about biological, ecological and environmental systems and the system-orientated integration of such will be improved and promoted using modern methods and technology. This important integrative approach at the system level is effective due to the efficient academic and education-related measures set up with the establishment of the MSc and PhD programmes in environmental informatics and their embedment in GAUSS and in the research landscape Göttingen. The excellent biological, ecosystemic, environmental and mathematical research in Göttingen requires the establishment of a corresponding integrated Master and PhD programme in environmental informatics, from which important innovative scientific impulses and contributions can be expected.... [-]


PhD in Applied Informatics

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

The graduate of the doctoral study in Applied Informatics is able to design and develop information, communication and knowledge technologies in different industries and businesses. Both are prepared to become research workers. [+]

Best Part time Doctorate Programs in Informatics 2017. PhD in Applied Informatics The main research topics are information systems design methodologies, advanced techniques in information and knowledge processing, ambient intelligence. The graduate of the doctoral study in Applied Informatics is able to design and develop information, communication and knowledge technologies in different industries and businesses. Both are prepared to become research workers. 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 informatics the candidate is required to design simple database applications, to have good knowledge of CASE tools, principles of programming, basic tools for decision making support, general knowledge of modern information and communication technologies, systems approaches and analysis. 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 Informatics – New Media and Pervasive Systems

Universidade Lusófona de Humanidades e Tecnologias
Campus 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.... [-]