Branch programme/details

The program is carried out without any specialization.

Bioinformatics and computational biology are multidisciplinary disciplines on the interface of computer science (especially algorithms and software development, data engineering), mathematics (especially probability, statistics, and mathematical modeling), and biology (especially molecular and evolutionary) aimed at efficient processing, analysis, and modeling of biological data and processes at the molecular and cellular level. The common denominator of bioinformatics and computational biology, which also includes areas such as systems biology, neuroinformatics, bioimaging, and computational drug design, is the development of analytical procedures and software tools for processing and analyzing large, domain-specific, and heterogeneous data to understand cellular processes at the molecular level, to learn from the evolution of given processes and subsequently apply this knowledge, especially in medicine and biotechnology.

The entrance exam is one round.

The entrance exam is conducted in front of an examination committee consisting of members from the Faculty of Mathematics and Physics and the Faculty of Science. It is held predominantly in the English language and consists of two parts.

In the first part of the examination, the applicant will introduce themselves and their dissertation project in the form of a presentation (prepared slides) that does not exceed 10 minutes. In the second part, the committee will ask the applicant three questions. One question will focus on the project itself, and the other two questions will test the knowledge of the field related to the proposed project's topic and the applicant's field of study.

During the examination, the applicant is expected to demonstrate scientific expertise and capability of independent scientific work.


The examination is graded with a maximum of 100 points and consists of an interview with the applicant about their chosen dissertation topic. The quality of the dissertation project, its feasibility (also in regards to the form of the study) and the quality of the presentation (as specified in the entrance examination description of the individual study programmes) are all part of the assessment. Additionally, their ability to communicate in the English language (or in Czech language in case of Czech doctoral study programme) is likewise assessed.

A maximum of 25 points can be awarder for the first part of the examination, and a maximum of 25 points for each question asked in the second part. The applicant can therefore be awarded a maximum of 100 points in the examination. In order to successfully pass the examination, the applicant must obtain at least 50 points from both of the sections combined.


In order to be admitted to part-time (‚combined‘) study form, the applicant must obtain the minimum number of points required for passing the entrance examination, which is the same as the minimum number of points required for admission.
The minimum number of points required for passing the entrance examination for full-time as well as part-time study form is set to 50 points.

Admission to Doctoral studies is conditioned by successful completion of a Master's study programme.

Verification method:	entrance exam
Confirmation date (of entrance exam) from:	09.06.2025	Until:	20.06.2025
Alternative date (of entrance exam):	23.06.2025	Until:	27.06.2025

The graduate understands key areas of informatics, such as algorithms and software systems development. She/he is also well acquainted with the most important methods and new discoveries in the field of natural sciences related to her dissertation topic. The graduate can define problems, come up with their solutions, implement these and present and defend the results of her work in the domestic and international environment. The graduate will find employment mainly in research and development, both in academic and commercial settings, whether it is a position requiring processing and analysis of biomolecular data (e.g., in hospitals) or research positions in the pharmaceutical industry or biotechnology companies. However, the interdisciplinarity of the field requires the graduate to be able to integrate knowledge and data from different domains, making her also prepared for data-oriented positions outside the field of natural sciences.