Form of study
Part-time
Type of study
Doctoral
Awarded title
You get the title Ph.D.
Standard length of study
4 years
Language of study
Czech
Open Day
You can submit the application
Characteristics of the branch of study Informatics in Public Administration:
The University of Pardubice, the Technical University of Liberec and the University of Hradec Králové have created a joint doctoral study programme called "Systems Engineering and Informatics". The study programme is implemented as an interconnected activity of all three participating faculties – not a parallel study at the participating faculties, but a joint study – characterised by the mobility of both students and teachers. Due to the professional specialisation of the participating faculties, the proposed study programme is divided into three fields:
- Managerial Informatics (guaranteed by the Faculty of Economics, Technical University of Liberec)
- Informatics in Public Administration (guaranteed by the Faculty of Economics and Administration, University of Pardubice)
- Information and Knowledge Management (guaranteed by the Faculty of Informatics and Management, University of Hradec Králové).
Informatics in Public Administration is based on the development of information and communication technologies (ICT) focused on public administration (state administration and regional governments) with an emphasis on data security and protection. It is characterised not only by the creative use of ICT, but also the creation and use of specific tools to support decision-making (geographic information systems: GIS) within the territory.
Objectives of the branch of study:
The study is aimed at mastering highly developed information and communication technologies with creative application to public administration. Creative use of GIS technology includes the creation of own decision layers of the spatial model of the territory, the creation of distributed databases, and the issue of minimising the volume of transmitted messages. There is also focus on the development of user-friendly technologies, especially for public relations with the public administration sector. Last but not least, the study also focuses on the issue of obtaining information from information sources for both citizens and the public administration sector.
Graduate profile:
The graduate of the doctoral programme Informatics in Public Administration is profiled for the highest positions as IT experts in statutory and large cities and regions. They are ready to independently solve, or lead a team to solve, complex problems in building and maintaining databases, information transfer, remote connection of institutions, security, and protection of data and information. Emphasis is placed on the creative application of knowledge, taking into account the expected development and changes in the style of work of public administration bodies and institutions. The graduate of Informatics in Public Administration has mastered the principles of scientific work, scientific formulation of problems, legal and environmental aspects of new products, and ethical and social aspects of scientific work. They are able to present the results of research in various forms, including publication in scientific journals and proceedings of scientific conferences.
Initial requirements for applicants:
The applicant should be a graduate of a postgraduate study programme in informatics or another related study programme. In the field of economics, the applicant requires university knowledge of microeconomics and macroeconomics, business economics and individual basic economic disciplines, and knowledge of the application of technical, software and communication tools in management, as well as ways of obtaining information from information sources. In the field of informatics, the applicant requires the ability to design simple database applications, knowledge of CASE resources, programming principles, basic tools to support the decision-making process, general knowledge of modern information and communication technologies, and knowledge of system approaches and analysis. In the field of language skills, a working knowledge of English is required.
Focus and scope of required knowledge and courses:
The courses included in the standard study plan as compulsory or compulsory elective options are designed to enable the student, in cooperation with the lecturer in the doctoral study programme, to obtain a sufficient basis corresponding to the current state of knowledge in the field to which the doctoral study programme belongs. To achieve the required knowledge, the student chooses the courses in connection with their research orientation and the focus of their dissertation.
Get in Touch
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2025-02-15T00:00:00
15. 2. 2025 - 15. 2. 2025
09:00 - 12:00
Den otevřených dveří FES UPCE 2024
You can choose the following topics for your dissertation
Doctoral thesis themes available in the academic year 2024/2025
Before submitting your application please contact a potential supervisor to discuss a dissertation topic. Applicants can propose their own themes of dissertation theses. Such themes will be accepted upon agreement of a supervisor and advisory board of a particular study programme.
Supervisor: Prof. Petr Hájek, PhD. (petr.hajek@upce.cz)
1. Modelling Data from Text Documents using Fuzzy Sets
The aim of the dissertation is to summarize the current approaches to text mining using fuzzy sets, to collect a corpus of text documents, to propose a model using fuzzy sets to effectively consider uncertainty in the text, and to validate the proposed model on the corpus.
2. Predicting Innovation Performance of European Regions using Fuzzy Systems
The aim of the dissertation is to review existing research in innovation performance prediction, to propose a set of innovation performance indicators, to collect a dataset on European regions, to propose a fuzzy rule-based system trained using the dataset, and to validate the obtained results using existing performance criteria.
3. Assessment and Selection of Sustainable Smart City Projects
The aim of the dissertation is to summarize existing approaches to assessment and selection of sustainable smart city projects, to propose a multi-criteria group decision-making method considering a high level of uncertainty needed for the evaluation of sustainable smart city projects, to validate the method on a real-world case study, and to compare the resulting rankings with existing approaches used in this domain.
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Supervisor: Assoc. Prof. Miloslav Hub, Ph.D. (miloslav.hub@upce.cz)
1. Usability of Adaptive User Interfaces
The aim of this work is to design and verify a new way to evaluate the usability of adaptive user interfaces. The student is expected to search for adaptive user interfaces, existing methods of user interface usability evaluation, design of own model of adaptive user interface usability evaluation and verification of the model on experimental data.
2. Evaluation of the Usability through Models
The aim of this work is to design and verify a new way of evaluating the usability of user interfaces through models. The student is expected to search the current user interface usability evaluation through models, design their own user interface usability evaluation model and verify the model on experimental data.
3. Use of Computational Intelligence in Biometric Authentication
The aim of this work is to design and verify a new method of biometric authentication using computational intelligence. The student is expected to search for existing methods of biometric authentication through computational intelligence, design their own model of biometric authentication using computational intelligence and verification of the model on experimental data.
+ one theme upon agreement with an applicant
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Supervisor: Prof. Jitka Komárková, Ph.D. (jitka.komarkova@upce.cz)
1. Geoinformatics Approaches Suitable for Evaluation and Modelling of Sustainable Development
The work will focus on selected spatially oriented problems of public administration (e.g. landscape management, optimization of the occurrence of phenomena and objects in the territory,...). The thesis will identify suitable data sources, propose a data model, and will search for new and innovative methods of advanced analysis and visualization.
2. Infrastructure of Smart Cities to Support E-Participation of Citizens
The work will focus on the design of a scalable architecture and e-infrastructure, with any necessary links to the architecture and services of the national e-infrastructure and taking into account current trends, such as the use of data from sensor networks, participatory technologies, or the principles of maintaining full control of the owner over the data or data reuse.
+ one theme upon agreement with an applicant
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Supervisor: Assoc. Prof. Hana Kopáčková, Ph.D. (hana.kopackova@upce.cz)
1. Modeling the Dynamics of the Behavior of Socio-Technical Systems
The aim of the thesis is to propose ways of modeling the behavior dynamics of the selected socio-technical system. Verify these models and perform simulations in the selected environment.
2. Model of Data Sharing in the European Union
The aim of the thesis is to summarize current approaches to the issue of data sharing in the context of the European Union, to propose a suitable sharing model using Data Space tools and to verify the proposed model in a selected environment.
+ one theme upon agreement with an applicant
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Supervisor: Assoc. Prof. Jiří Křupka, PhD. (jiri.krupka@upce.cz)
1. Group Decision Making in the Smart City Concept
The dissertation focuses on group decision-making modelling for a selected problem within the smart city concept. It summarises and analyses available information and methods for working with uncertainty. The proposed model is based on a systems approach and utilises soft case-based reasoning, fuzzy and rough sets. A case study will be used to verify the model.
+ one theme upon agreement with an applicant
Courses taken by the first-year students this year
Teaching (LECTURE + EXERCISE + SEMINAR) in hours per term
Any year
Any semester
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
8S+0+4S
Credits
20
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
8S+0+4S
Credits
20
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
8S+0+4S
Credits
20
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
12S+0+12S
Credits
20
Name of the subject
Type of subject
Compulsory subject
Scope of teaching
0+0+0
Credits
0
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
4S+0+8S
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
4S+0+8S
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
4S+0+8S
Credits
10
Name of the subject
Type of subject
Optionally compulsory subject
Scope of teaching
4S+0+8S
Credits
10
Successful Alumni
Ing. Lukáš Wagenknecht
Parliament of the Czech Republic, Senator
Ing. Henry Junior Anderson, Ph.D.
Oracle, Data Scientist
Tobi Alfred Ayanleke, MBA
TELUS, Commercial Security Consultant
What scholarships can you get
Tuition fees
Part-time study
Part-time study involves a lot of independent work. You come to school once in about three weeks, on Fridays and Saturdays. In these lectures you will go through the core parts of the courses, the rest depends on your self-study. This form of study is complemented by consultations.
Contact with the university
Bc. Radka Bartoníčková
Study Office Assistant for PhD. studies
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Where are you going to live
Halls of Residence on campus
We are located in a quiet area of the town centre, where everything you need is within reach.