Doctoral study programmes
The aim of the PhD programmes at the Faculty of Informatics and Statistics is to prepare highly qualified staff for scientific work, whose activities will develop theories and research in their chosen field. The studies follow an individual study plan under the guidance of a supervisor and, where appropriate, a consultant. All doctoral programmes are full-time and combined, with a maximum duration of 4 years and a maximum duration of 5 years. The studies are completed by the defence of the dissertation and the graduate receives the degree of “Doctor” Ph.D., which he/she carries behind his/her name.
The doctoral degree brings with it a number of changes compared to the previous bachelor’s and master’s degrees. Here is a small overview of what studying for a particular PhD degree entails.
Quick facts
- study degree: Ph.D.
- language: English/ Czech
- credits/ study durations: 4 academic years, maximum 5 years
- form of study: full-time/ combined study program
- tuition fee:
- English taught programs – 500 EUR/ academic year
- Czech taught programs – without tuition fee
Applied Informatics
The Doctoral Program in Applied Informatics at the Faculty of Informatics and Statistics offers a unique approach to doctoral studies in the field of informatics. Unlike typical informatics doctoral programs, it focuses on integrating technological aspects with social and managerial-organizational elements. The study plan includes participation in basic research projects (GAČR) and applied research projects (TAČR, contractual research with companies, ministerial grants), with opportunities for collaboration with international partners and teams from economically and managerially oriented departments at VŠE. This approach enables doctoral candidates to combine theoretical knowledge with practical skills. The program also promotes international scientific collaboration and provides opportunities for publishing research findings. Research group leaders, often associated with competence centers, offer expert support and practical guidance.
The program includes dedicated seminars such as the Applied Informatics PhD Meetup (AIPM) and participation in the faculty-wide Doctoral Student Day.
Econometrics and Operations Research
In the Doctoral Program in Econometrics and Operations Research at the Faculty of Informatics and Statistics, university graduates with preliminary knowledge in mathematics, computer science, and economics can develop their scientific work in the area of mathematical modeling of economic processes. The study involves close collaboration with the departments of econometrics, which offer a rich collection of specialized literature, top software, and connections with statistical practice workplaces. The entrance exams test knowledge equivalent to the state final exam of the Master’s program in Econometrics and Operations Research. This four-year program focuses on advanced topics in econometrics and operations research, aiming to address practical and theoretical problems using the latest methods and tools in the field. A team of doctoral students is involved in various projects, including high-frequency data analysis, economic models and other topical issues in cooperation with the department.
Statistics
The Doctoral Program in Statistics at the Faculty of Informatics and Statistics is aimed at graduates of master’s statistical specializations not only from the Prague University of Economics and Business and the Faculty of Mathematics and Physics at Charles University, but also from other domestic or foreign schools. During the admission process, applicants have the opportunity to choose one of the three statistical departments at the Prague University of Economics and Business according to their interests and the availability of supervisors. These departments – Statistics and Probability, Economic Statistics, and Demography – offer doctoral students a rich collection of specialized literature, computational technology, and connections with statistical practice workplaces. The entrance exam requires knowledge equivalent to the state final exam for the master’s program in Statistics.
