Artificial intelligence and data processing
Artificial Intelligence and Data Processing are dynamically developing areas of informatics that are becoming increasingly important. The program is based on a thorough understanding of basic theoretical concepts and methods, giving students the opportunity to become real experts in the field. The core of the discipline is artificial intelligence, machine learning, neural networks, statistics, data visualization, and large data processing technologies.
However, the theory is not separated from practice - during the course of studies students solve specific case studies, during which they are familiar with currently used tools and technologies. Students have the opportunity to work on real industrial or scientific projects during their studies. Students in the program gain experience that will enable them to immediately take advantage of the current state of knowledge in practice, as well as a solid foundation through which they can continue to track further developments in this dynamic area.
The candidate chooses one of the specializations Bioinformatics and Systems Biology, Machine Learning and Artificial Intelligence, Processing and Analysis of Large Data or Natural Language Processing.
|Czech study program|
|Study time||2 years|
Thanks to the dynamic development of the area in which students prepare the program, graduates have a wide range of applications, while specific ways of applying are continually created and many are still emerging during their studies. Framework applications are:
- applied and basic research, typically large 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 List, Google), such as Data Scientist and Machine Learning Engineer;
- work in companies that have valuable and often large data (such as banking, telecom operators), as well as businesses providing data analytics technologies in the cloud, such as Business Intelligence Analyst and Data Analyst;
- Establishing your own start-up specializing in the use of artificial intelligence methods in a particular area.
Where to go after this study?
FI graduates are valued in practice, their average gross salary in the last few years is more than CZK 45,000, according to a survey of all levels 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 optional subjects and a recommended course of study.
Part of the study is practical projects, often in cooperation with the commercial sector. However, a direct internship in a company is not part of the study.
Specializations are curricula that set conditions for completion, such as compulsory subjects.
The specialization is intended for students who want to acquire, in addition to general knowledge of informatics, the latest knowledge in dynamically developing fields between informatics and biology. By selecting this specialization, the student will acquire a deep knowledge of the processing, storage and analysis of biological data or the use of formal methods for analysis and prediction of biological systems behavior.
Specialization leads graduates to gain deeper knowledge of methods in machine learning techniques and artificial intelligence and experience with their application.
Meet the successful graduateYou will find what you do not know, thanks to the research team of Jiří Materna
Would you think that the results of the search for an internet search engine are influenced by a young FI MU graduate who wrote short stories in the drawer at the time of the Seznam.cz portal?
Specialization focuses on data science that creates value from huge data flows by collecting, exploring, interpreting, and presenting data from a variety of perspectives for business intelligence.
Specialization prepares graduates to work with natural languages (eg Czech, English) in both written and spoken form from the perspective of informatics.