Artificial intelligence and data processing
Artificial intelligence and data processing are dynamically developing areas of computer science, which are becoming increasingly important. The program is based on a thorough understanding of the basic theoretical concepts and methods, allowing students to become real experts in the field. The core of the field includes artificial intelligence, machine learning, neural networks, statistics, data visualization and large data processing technologies.
However, the theory is not separated from practice - already during the study students solve specific case studies, in which they become familiar with the currently used tools and technologies. Students have the opportunity to work on real industrial or scientific projects. The students gain experience in the program, which enables them to immediately use the current state of knowledge in practice, as well as a solid foundation, thanks to which they can continue to follow further developments in this dynamic area.
The applicant chooses one of the specializations Bioinformatics and Systems Biology, Machine Learning and Artificial Intelligence, Large Data Processing and Analysis or Natural Language Processing.
|Czech study program|
|Form||full - time|
|Duration of study||2 years|
Thanks to the dynamic development of the area for which the students are preparing the program, graduates have a wide range of applications, with specific applications being continuously created and many still to be found during their studies. The general application possibilities are:
- applied and basic research, typically large-scale data processing, often in collaboration with experts from other disciplines such as biology or linguistics;
- work in companies whose immediate interest is artificial intelligence and data processing (eg Seznam, Google), such as Data Scientist and Machine Learning Engineer;
- working in companies that have valuable and often extensive data (eg banking, telecommunication operators), but also companies providing technologies for cloud data analytics, such as Business Intelligence Analyst and Data Analyst;
- Establishment of own start-up specializing in the use of artificial intelligence methods in a specific area.
Where after this study?
Survey of graduate employment
FI graduates are valued in practice, their average gross starting salary has been more than CZK 45,000 over the past few years, according to a survey of all degrees of study. More about graduate employment
Meet successful graduates
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In the study catalog you will find lists of compulsory and compulsory elective courses and recommended course of study.
Practical projects are often part of the study, often in cooperation with the commercial sphere. Direct internship in the company, however, is not part of the studio.
Specializations are curricula that set the conditions for completion, such as compulsory subjects.
The specialization is designed for students who want to acquire the latest knowledge in computer science and the latest knowledge in dynamically developing fields on the border of computer science and biology. By choosing this specialization, the student will gain deep knowledge concerning processing, storage and analysis of biological data or for using formal methods for analysis and prediction of biological systems behavior.
The specialization leads graduates to gain deeper knowledge of methods in the field of machine learning techniques and artificial intelligence and experience in their application.
Meet a successful graduateYou will find what you do not know, thanks to Jiří Materna's research team
Would you think that the results of the search engine of the Internet search engine is influenced by a young graduate of FI MU, who wrote short stories in the drawer at the time when Seznam.cz was created?
Specialization focuses on data sciences that create value from huge data flows by collecting, exploring, interpreting and presenting data from different perspectives for the purpose of data analytics, so-called business intelligence.
Specialization prepares graduates to work with natural languages (eg Czech, English) in written and spoken form from the perspective of computer science.