Acad. year 2025/2026Full-Time 2 Years Title Awarded Ing.
The specialization is intended for those pursuing computer vision and its applications. Students will learn the theoretical foundations of image formation, image processing and machine learning for computer vision. They will apply the knowledge gained on projects to real-world problems and gain experience in developing computer vision application systems.
Information technology moves the world
79 %
students gain practical experience
98 %
students successfully pass the State Final Examination
99 %
graduates find work in the month
40 938 Kč
is the average starting salary for graduates
1st Year
The first year is focused on the mandatory courses of the specialization.
In the second year, students take the rest of the mandatory courses, they can focus their study by taking the elective courses. In both semesters of the second year, students solve their Semestral Projects as well as the Diploma Project.
The common core of the program consists of courses that will give you the knowledge important for all IT engineers:
Computation Systems Architectures will teach you how to think about how your code will run on modern computing platforms, how to think about programming in a way that makes the most efficient use of resources, i.e., that your application makes the best use of the power of modern platforms, makes efficient use of system memory resources, and is also efficient in terms of energy consumed.
Functional and Logic Programming will teach you that although classical imperative programming is a very widely used paradigm and is very close to machine-level implementation, there are other approaches that will give you a new perspective on some key problems and help you get novel and often more efficient solutions to them.
Modern Trends in Informatics (in English) you need to know to see where the field is going and what to expect in practice in a few years.
Parallel and Distributed Algorithms is a course that will show you the patterns, limits, and pitfalls of parallel and distributed algorithmic solutions and the associated synchronization mechanisms, without which you will hardly succeed in solving many of the more complex problems.
Statistics and probability is the right hand of every engineer to process numerical results of experiments or data obtained while running your application, analyze them and learn from them to make further decisions is almost his daily bread.
Theoretical Computer Science shows the limits of computer science capabilities through formal languages and mathematical models of computation. This is the only way to understand whether your problem is even solvable and, if so, with what resources and means to prove it.
Data Storage and Preparation, especially big data, and extracting knowledge from it is a valuable art to any computer scientist. It is a key aspect that strongly influences the effectiveness of many solutions and applications.
Artificial Intelligence and Machine Learning is a course where you will learn how to teach computers to understand our world and make them solve problems that are easy for humans but difficult for an algorithmic machine to handle.
They will pass on all their knowledge and hold you in difficult moments
Prof. Ing.
Herout Adam
Ph.D.
Prof. Adam Herout teaches and performs research in computer vision and machine learning. He is also interested in user interfaces, especially for mobile devices. He loves innovative applications - their complex backends with computer vision and machine learning algorithms and their smooth and beautiful frontends lovable by users.
