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 and the interview will deal mainly with the dissertation plan and candidate’s knowledge in the given field of study. The interview will take into account both expertise in the subject matter and language skills.
The candidate prepares and attaches a written (approximately 250-500 words) proposal for a doctoral project to the application form. The entrance examination will be in English and will have two parts. In the first part, the applicant will present themself and their doctoral project in a short (max 10 minutes) presentation. In the second part of the examination, the committee will ask the candidate three questions. One question will focus on the project itself, and the other two questions will test the orientation in the field regarding the proposed project's topic and the applicant's field of study. The committee will evaluate each answer with a Pass/Fail statement. To be admitted, an applicant must receive a passing grade for all three answers.

During the entrance examination the candidate must demonstrate the technical and linguistic skills to study the given field, along with abilities necessary for independent scientific work.


For compelling and documented reasons, in particular health reasons or study abroad, the Dean may, on the basis of a request submitted in the University's electronic information system, as a rule after the application has been accepted by the Faculty, but no later than 5 May 2024, allow the admission examination to be conducted via information and communication technologies.

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:	10.06.2024	Until:	21.06.2024
Alternative date (of entrance exam):	24.06.2024	Until:	28.06.2024

The entrance examination may be waived based on a request of a candidate who has been accepted for the STARS project in the given academic years.

The request must be submitted electronically by 5th May 2024.

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.