Master in Mathematics and Informatics

Informations générales

Description du programme

Master in Mathematics and Informatics

The Faculty has successfully updated its accreditation of the Master Program. It is a full-time program extending for 2 years (4 semesters). The students are expected to attend lectures, practicals, and seminars throughout the semester.

Candidates for the degree program are required to pass an entrance examination, following which they can choose an accredited degree course, which can often be an extension of the undergraduate program.

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NESA by Makers / Unsplash

The Master Program offers:

  • Interesting lectures by professionals from the Czech Republic and abroad;
  • Participation in scientific teams after admission to the program;
  • Accredited supervisors;
  • Long-term study stays and internships at partner universities and international research centers;

Qualifications and requirements to be met by the prospective student:

  • Must hold a Bachelor’s degree from a technical university or engineering school in the Czech Republic or abroad;
  • Must successfully pass the master course entrance exams (FNSPE CTU graduates can be exempt from candidacy examination if they intend to extend their education in the same field and have performed well in the Final State Examination).

Upon attainment of the required number of credits (120), successful completion of coursework in all courses, submission and defense of the Master's Thesis, and successful passage of the State Final Examination, the student is awarded a Master's Degree (Mgr., the title of Ing. in Czech) at a graduation ceremony in the Bethlehem Chapel. This is a prerequisite for entering the Doctoral Program or pursuing employment or a career in e.g. research. Many graduates start their careers in the ČEZ Group (ČEZ), Proton Therapy Centre Czech, ELI Centre, IBM, in banks, or hospitals.

Fields of Study

Applications of Software Engineering

The master's degree course in Applications of Software Engineering is of interdisciplinary character because it is based on relating informatics to natural sciences, mainly modern sections of mathematics and applied physics. It encourages students to use information technologies in solving practical problems in physics, natural sciences, engineering, and computer technology. The common denominator to the degree course can be found in the creation of models that result in designing and implementing systems supporting applications in natural sciences and the economy.

The IT courses develop basic computer skills, knowledge of modern forms of programming, network technologies, and operating systems; of mainframe systems technologies; image processing methods; and theoretical informatics. Mathematics courses concentrate on complexity theory, graph theory, neural networks, advanced numerical methods, and some other modern disciplines. Physics courses are devoted to selected topics of applied physics. All courses focus on extending students' knowledge in the given fields and offer significant insight into their state-of-the-art. Part of the degree course is also team-based and/or individual independent student projects on an assigned topic. These projects acquaint the students with how to orient themselves in the given topic and usually result in new findings publishable in scientific journals.

Applied Mathematical Stochastic Methods

The master's degree course in Applied Mathematical Stochastic Methods is multi-disciplinary in character. It is oriented to advanced sections of applied mathematical statistics. The course orients graduates in solving problems in natural sciences and engineering.

The courses are devoted to an in-depth study of the areas mentioned above and students should acquire a significant insight into the state-of-the-art of the field. The curriculum includes an individual student project on an assigned topic done independently. The project helps the student to understand issues in the field and often offers original results publishable in scientific journals.

Specialized courses of the degree course provide students with a knowledge of mathematical statistics methods, probability theory, and stochastic processes in situations encountered in materials or transport engineering.

Mathematical Physics

The master's degree course provides a good insight into theoretical and mathematical physics and develops the student's understanding of theoretical physics as applied to natural sciences and engineering and is appreciated mainly by highly motivated candidates.

The course curriculum includes individual independent student projects on a given topic, often producing encouraging results publishable in scientific journals.

The in-depth courses focus on modern mathematical and theoretical physics, especially functional analysis and spectral theory of operators, differential geometry and Lie group theory, statistical physics, classical and quantum gravitation theories, quantum field theory, and quantum information theory. The master's degree course provides a good insight into theoretical and mathematical physics and develops the student's understanding of theoretical physics as applied to natural sciences and engineering and is appreciated mainly by highly motivated candidates.

The course curriculum includes individual independent student projects on a given topic, often producing encouraging results publishable in scientific journals.

The in-depth courses focus on modern mathematical and theoretical physics, especially functional analysis and spectral theory of operators, differential geometry and Lie group theory, statistical physics, classical and quantum gravitation theories, quantum field theory, and quantum information theory.

Mathematical Informatics

The master's degree course in Mathematical Informatics is of interdisciplinary character because it relates informatics to natural sciences, mainly modern sections of mathematics and applied physics. It encourages students to use cutting-edge information technologies in solving problems in physics, natural sciences, engineering, and economics.

The courses develop the student's basic knowledge of theoretical informatics, advanced computer skills, of modern forms of programming, network technologies, operating systems, mainframe systems technologies, and image processing methods. The mathematics courses cover complexity theory, graph theory, neural networks, advanced numerical and statistical methods, and some other modern disciplines.

The courses are designed to provide a more in-depth overview of the above areas and should offer an insight into the state-of-the-art of the relevant fields. Part of the degree course is a team-based and/or individual student project carried out independently on a given topic. Through these projects, students learn how to orient themselves within the given topic and this usually results in new findings publishable in scientific journals

In the specialized courses, students further develop their knowledge in mathematical disciplines of informatics, in parallel programming or bioinformatics, in the design and management of software projects, and implementation and management of large systems; moreover, they learn how to use them in practice.

Mathematical Engineering

The master's degree course in Mathematical Engineering is multi-disciplinary in character. It is oriented towards advanced sections of modern applied mathematics. Graduates are competent at using the knowledge acquired – supported by modern computer technology - in natural sciences and in current practice in engineering.

The courses are devoted to an in-depth study of modern applied mathematics and provide significant insight into its state-of-the-art. Part of the degree course also includes an individual student project on a given topic. The project furnishes the student with a firm grasp of the field and often offers original results publishable in scientific journals.

Students can extend their professional horizon to disciplines substantial for the development of mathematical models in numerous fields of science and engineering, environmental protection or biology, and to their use in advanced computer technology.

Entrance exam

  • Yes (written and interview)

Entrance Requirements

  • Application form
  • Completion of secondary or secondary technical education and graduation from a Bachelor or Master Study Program in an equivalent or similar branch
  • Submission of the Secondary School Leaving Certificate
  • Nostrification of Diploma
  • English Language (min. B2)
  • No more than one application for the study program in the past
  • Application fee: EUR 32

Level of English

  • An examination certificate proving English language competence at a level not below B2
Mis à jour le Fév. 2020

À propos de l'établissement

Czech Technical University in Prague is the oldest technical university in Europe, founded in 1707 and is currently a leading technical research university within the region and in the Prague Research ... Continuer

Czech Technical University in Prague is the oldest technical university in Europe, founded in 1707 and is currently a leading technical research university within the region and in the Prague Research cluster. CTU offers undergraduate, graduate and doctoral programs at 8 faculties: Faculty of Civil Engineering, Mechanical Engineering, Electrical Engineering, Nuclear Sciences, and Physical Engineering, Architecture, Transportation Sciences, Biomedical Engineering, Information Technology and programs at MIAS School of Business. Moreover, CTU offers free sports courses, you may visit and study in the National Library of Technology and feel the international community in the Campus Dejvice in the heart of Europe. Réduire