Degree Programmes

Mathematical Methods

Acad. Year 2026/2027Full-Time Study2 Years Title Awarded Ing.

Mathematical methods will help you get to the bottom of information technology. At school, you will learn to understand and apply them practically. You will deepen your knowledge of mathematics, computer science, game theory, automated analysis, verification and correctness testing of computer systems. After graduation, you will become in-demand specialists - you will be able to apply highly advanced modern technologies in practice, including unconventional ones. Thanks to your in-depth knowledge of algorithmization, you will find employment in the commercial sphere or in industries focused on developing and operating demanding software systems.

Information technology moves the world

  • 79 %

    studentů získá zkušenosti z praxe

  • 98 %

    studentů úspěšně složí státní závěrečnou zkoušku

  • 99 %

    absolventů najde práci do měsíce

  • 40 938 Kč

    je průměrný nástupní plat absolventů

1st Year

The first year is dedicated to the theoretical basis of computer science, advanced techniques of mathematical statistics and probability, functional and logical programming and principles of parallel and distributed systems. The rest of the compulsory courses can be divided into the first and second year according the the students preferences.

Compulsory Programme Courses - Winter

Compulsory Programme Courses - Summer

Arbitrary

2nd Year

Přehrát

The common basis of the programme

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.

Recommended course compositions

Basic course composition

1st year of study, winter semester

1st year of study, summer semester

2nd year of study, winter semester

2nd year of study, summer semester

NMAT ++

For students interested in mathematics, we recommend that the following free courses taught by the Institute of Mathematics at FSI be included in the curriculum:
* OPM(FSI-SOP): Optimization I (summer semester, 3cr) https://www.vut.cz/en/students/courses/detail/261005
* FSI-SN1: Numerical Methods I (summer semester, 4cr) https://www.vut.cz/en/students/courses/detail/261000
* FSI-SN2: Numerical Methods II (winter semester, 4cr) https://www.vut.cz/en/students/courses/detail/261001
* FSI-SPP: Stochastic Processes (winter semester, 4cr) https://www.vut.cz/en/students/courses/detail/261020

Possible pass: winter 1: FSI-SPP, summer 1: FSI-SN1, winter 2: FSI-SN2, summer 2: OPM (FSI-SOP)
To enroll in the course FSI-SOP, please submit an Application for Course Enrollment or Course Withdrawal.
The courses FSI-SN1, FSI-SN2, and FSI-SPP are available as free courses.

1st year of study, winter semester

1st year of study, summer semester

2nd year of study, winter semester

2nd year of study, summer semester

More Details

HOW TO APPLY

They will pass on all their knowledge and hold you in difficult moments

Doc. Mgr.

Rogalewicz Adam

Ph.D.

Doc. RNDr.

Češka Milan

Ph.D.

Doc. Mgr.

Holík Lukáš

Ph.D.

Ing.

Hrubý Martin

Ph.D.

Prof. RNDr.

Meduna Alexander

CSc.

He is a theoretical computer scientist and expert on compiler design, formal languages and automata. Formerly, he taught theoretical computer science at various Asian, European and American universities, including the University of Missouri, where he spent a decade teaching advanced topics of formal language theory. He wrote over ninety scientific papers and several books.

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