About the programme

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 specific case studies to 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.

What will you learn?

The Artificial Intelligence and Data Processing program prepares students to work in the areas of design and development of intelligent systems and analysis of big data. These areas are currently undergoing very fast development and are becoming increasingly important. The program leads students to a thorough understanding of basic theoretical concepts and methods. During the study students also solve specific case studies to familiarize themselves with the currently used tools and technologies. Students will thus gain experience that will allow them to immediately use the current state of knowledge in practice, as well as solid foundations, which will enable them to continue to independently follow the developments in the field. The program is divided into three specializations that provide deeper knowledge in a chosen direction. Specializations share a common core, where students learn the most important mathematical, algorithmic, and technological aspects of the field. Machine Learning and Artificial Intelligence specialization lead graduates to gain in-depth knowledge of machine learning and artificial intelligence techniques and to gain experience with their practical application. Natural Language Processing specialization prepares graduates to work with natural languages (eg. Czech, English) in written and spoken form from the perspective of computer science. Data Management and Analysis specialization focus on data science, which creates value from big data by collecting, exploring, interpreting, and presenting data from different viewpoints with the goal of so-called business intelligence.

Career opportunities

Due to the dynamic development of the area, the graduates have a wide range of career opportunities, with specific employment positions being created continuously during the course of their studies. Examples of different types of possible positions: positions in applied and basic research, typically concerning extensive data processing, often also in collaboration with experts from other disciplines such as linguistics or medicine; positions in companies with an immediate interest in artificial intelligence and data processing (e.g., Seznam, Google) such as Data Scientist and Machine Learning Engineer; positions in companies that have extensive, valuable data (such as banking, telecom operators) or companies focusing on cloud data analysis, e.g., Business Intelligence Analyst or Data Analyst; graduates can also start their own start-up specializing in the use of artificial intelligence methods in a particular area.

Choose your specialty

In the single-subject studies, the student deepens knowledge in the concrete focus of the degree programme and chooses one specialization. The specialization is stated in the university diploma.

Machine learning and artificial intelligence, Natural language processing or Processing and analysis of large-scale data

Admission

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