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Artificial intelligence and data processing

Artificial intelligence and data processing are dynamic areas of computer science that are becoming increasingly important. The program is built on a thorough understanding of the basic theoretical concepts and methods, giving students the opportunity to become true experts in the field. The core of the field includes instruction in artificial intelligence, machine learning, neural networks, statistics, data visualization, and big data processing technologies.

However, theory is not divorced from practice - already during the course of their studies, students solve concrete case studies in which they learn about the tools and technologies currently in use. Students have the opportunity to work on real industrial or scientific projects during their studies. Students in the programme gain experience that enables them to put the current state of knowledge to immediate use in practice, as well as a solid foundation that enables them to continue to independently pursue further developments in this dynamic field.

Candidates choose one of the specializations Bioinformatics and Systems Biology, Machine Learning and Artificial Intelligence, Big Data Processing and Analysis, or Natural Language Processing.

Application for studies
Guide to the admission procedure

Czech study programme
Form Full-time
Duration of study 2 years
Graduate profile

Due to the dynamic development of the field for which the program prepares students, graduates have a wide range of employment opportunities, with specific avenues of employment continually emerging and many yet to emerge during the course of their studies. The following are the framework possibilities of employment:

  1. Applied and basic research, typically large-scale data processing, often in collaboration with experts from other disciplines such as biology or linguistics;
  2. working in companies with a direct interest in artificial intelligence and data processing (e.g. Seznam, Google), for example as a Data Scientist and Machine Learning Engineer;
  3. working in companies with valuable and often large data (e.g. banking, telecom operators), as well as companies providing cloud-based data analytics technologies, for example Business Intelligence Analyst and Data Analyst positions;
  4. establishing your own start-up specialising in the use of artificial intelligence methods in a specific field.
Where to go after this study?
Graduate career exploration

FI graduates are valued in practice, with an average gross starting salary of more than 45,000 CZK in the last few years, according to a survey of all degrees. More on graduate employment

Meet successful graduates

Monika Cechova
Monika Čechová


Connecting the worlds of biologists and computer scientists

Bioinformatics graduate Monika Čechová summarises her experience of collaboration between biologists and computer scientists in her article in PLOS Computational Biology.

Jiří Materna
Jiří Materna


You'll find what you don't know, thanks to Jiří Materna's research team

Would you have thought that the results of an internet search engine search are influenced by a young FI MU graduate who was writing short stories in a drawer at the time of the creation of

Study Catalogue

In the study catalogue you will find lists of required and elective courses and a recommended course of study.

Study catalogue


Practical projects, often in cooperation with the commercial sector, are part of the study. However, a direct internship in a company is not part of the study.


Specializations are curricula that set out requirements for graduation, such as required courses.

Bioinformatics and Systems Biology

The specialization is designed for students who want to acquire the latest knowledge in the dynamic and growing fields at the interface of computer science and biology, in addition to general knowledge in computer science. By choosing this specialization, the student will gain in-depth knowledge related to the processing, storage and analysis of biological data or to the use of formal methods for the analysis and prediction of the behavior of biological systems.

Studenti se mohou zapojit do aktivit laboratoře SYBILA

Machine Learning and Artificial Intelligence

This specialization leads graduates to acquire a deeper knowledge of methods in machine learning and artificial intelligence techniques and experience in their application.

Pracovní vypětí v laboratoři ParaDiSe
Meet a successful graduate
Find what you don't know, thanks to Jiri Materna's research team

Would you think that the results of an internet search engine search are influenced by a young FI MU graduate who was writing short stories in a drawer at the time of the creation of

Jiří Materna

Processing and analysis of large-scale data

The specialization focuses on data sciences that create value from huge data streams by collecting, exploring, interpreting and presenting data from different perspectives for the purpose of data analytics, called business intelligence.

Servery pro ukládání a zpracování dat

Natural Language Processing

This specialization prepares graduates to work with natural languages (e.g., Czech, English) in written and spoken form from a computer science perspective.

Prof. Pala a doc. Horák v laboratoři NLP