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Master's

About the Master’s Programme

  • Applicants to the Master’s programme must hold a Bachelor’s degree.
  • The standard duration of study is two years.
  • The programme is completed with a state final examination and the defence of a Master’s thesis.
  • Graduates are awarded the degree Engineer (Ing.), which is used as a title before the name.

Programme Structure

  • The programme begins with a shared core, providing an overview of key areas of the field — from artificial intelligence, software engineering, and computer security to mathematics and theoretical computer science.
  • At the same time, students choose one of two specializations in English or seven in Czech, defining the area in which they will further develop their expertise.
  • During the programme, students can also select from a wide range of elective courses listed in the curriculum.

Our English Specializations

  • Quantum Informatics
  • Artificial Intelligence

Pick your specialization

Quantum Informatics

Classical computers solve problems step by step. Quantum computers, by contrast, leverage the principles of quantum physics to process vast numbers of states simultaneously, enabling them to find solutions in cases where classical machines would be inefficient or fail. Quantum informatics is no longer a theoretical concept — it is an emerging field with growing practical relevance.

Students learn to work with algorithms that differ fundamentally from classical approaches. They gain insight into systems where 0 and 1 can coexist and explore how these principles can be applied in computing, cybersecurity, and data analysis. Whether your interest lies in research, advanced technologies, or the limits of computation, this field offers a clear direction for further development.

Several courses are taught by experts from IT4Innovations National Supercomputing Center, located on the VSB-TUO campus. IT4Innovations operates the Karolina and Barbora supercomputers, as well as the VLQ quantum computer. Students benefit from access to this state-of-the-art computational infrastructure throughout their studies.

Courses you will take

  • Introduction to Quantum Computing
  • Quantum Programming and Quantum Algorithms
  • Quantum and Post-Quantum Cryptography
  • Quantum Error Correction
  • Quantum Hardware
  • Quantum Intelligence
  • Quantum Circuit Optimization
  • Introduction to HPC Systems
  • and more

Career opportunities after graduation

  • Develop and maintain software packages for quantum computing platforms
  • Lead research teams focused on quantum technologies and their applications
  • Work on the development of quantum software and simulation of quantum systems
  • Specialize in quantum cryptography and data security
  • Design and optimize quantum algorithms for complex computational tasks
  • and more

Artificial Intelligence

Teach machines to think. This period is increasingly described as the beginning of a new era — the era of intelligent systems. You can be part of shaping it. You will learn how to design systems that learn, make decisions, and adapt efficiently in dynamic environments. In a field where advanced technology meets real-world application, you will learn to identify patterns in complex data and turn them into meaningful solutions.

Courses you will take

  • Artificial Intelligence
  • Natural Language Processing
  • Image Analysis I
  • Image Analysis II
  • Biologically Inspired Algorithms
  • Bioinformatics
  • Network Analysis Methods I
  • Network Analysis Methods II
  • and more

Career opportunities after graduation

  • Lead projects focused on advanced algorithms and data analysis
  • Work in companies specializing in AI, data science, and automation
  • Develop and optimize intelligent systems based on machine learning
  • Pursue research in machine learning, deep neural networks, and artificial intelligence
  • and more

Study branch Artificial Intelligence

About study programme

The Artificial Intelligence specialization is the ideal choice for those who want to gain an in-depth understanding of modern technologies and actively participate in their development. Studying this specialization will systematically guide you through the world of artificial intelligence, machine learning, and data analysis—areas that are fundamentally shaping the digital society and the future direction of technology today. You will gain a solid theoretical foundation and the practical skills needed to design, implement, and evaluate intelligent systems, with an emphasis on current trends in software and hardware development. During your studies, you will learn to work with different types of data, understand their nature, and master the appropriate methods for their processing and analysis. You will become familiar with the principles of neural networks, deep learning, and modern tools and libraries that are used in practice today. You will be able to effectively apply this knowledge in areas such as process automation, image processing, natural language, or the development of intelligent software solutions. Emphasis is placed not only on the algorithms themselves, but also on the interpretation of results, their visualization, and meaningful presentation. It will also prepare you to work in multidisciplinary teams and teach you how to clearly communicate the results of your work to both experts and the general public. An integral part is critical thinking about the ethical and social implications of using artificial intelligence. This will enable you to make responsible decisions and develop long-term skills in a dynamic and rapidly changing field. Graduates find employment in technology companies, research institutions, and academia—as data analysts, machine learning model developers, neural network specialists, or researchers. Studying Artificial Intelligence will open the door to a professional career that has a future, meaning, and real impact.

Study curriculum

Faculty Faculty of Electrical Engineering and Computer Science
Study programme Computer Science
Type of study Follow-up Master
Language of instruction English
Code of the branch S01
Title of the branch Artificial Intelligence
Regular period of the study 2 years
Coordinating department Department of Computer Science
Coordinator prof. RNDr. Václav Snášel, CSc.

Study Across Europe with EUMaster4HPC

One Year at a Partner University, One at VSB – Technical University of Ostrava

Build expertise in High-Performance Computing and its applications in AI and quantum computing while gaining real international experience. Over two years, you earn two Master’s degrees while combining technical depth with hands-on practice and international collaboration, with access to workshops, joint activities, and a strong European network of students, researchers, and institutions. Courses are co-taught by experts from the IT4Innovations National Supercomputing Center.

More about EUMaster4HPC