Artificial intelligence and data processing

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.

Candidates: Building intelligence from zeros and ones, Data science for this century, Learn how to teach machines, Mind for machines (the final version will be selected with the use of feedback from the evaluation)

The program is divided into four 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. Bioinformatics and Systems Biology specialization focuses on computational methods for automated analysis of large biological data and on creating predictive models of biological processes with the goal to better understand complex biological systems.

Practical training

The practical training in not an obligatory part of the study program.

Further information

https://www.fi.muni.cz/admission/mgr/artificial-intelligence-and-data-processing.html.en

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 biology or linguistics;

• 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.

No information available

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Minimum score and numbers of accepted applicants in past years

After completion of the studies, it is possible to continue in doctoral degree programme at the faculty (after satisfying the admission requirements).