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The Faculty of Electrical Engineering and Computer Science offers Bachelor, Master and doctoral study programmes. Some programmes are further divided into study branches. Bachelor and Master programmes in the English language are offered in the full-time forms only. Doctoral study programmes are offered both in the full-time and part-time forms. The majority of study branches is open to students with disabilities. Study in the English language is subject to a tuition fee.

The Bachelor study lasts three years and the graduates are awarded the academic degree Bachelor (Czech abbreviation Bc.). The follow-up Master study lasts two years and the graduates are awarded the academic degree Master of Science (Czech abbreviation Ing.). Graduates of a Bachelor study in the same or similar study programme can continue in the follow-up Master study. The doctoral study lasts four years and the graduates obtain the academic degree doctor of philosophy (Ph.D.). This study is a follow-up to the completed Master studies, and the student demonstrates the ability of independent scientific work.

Study branch Applied Mathematics

About study programme

Students that graduate from specialization Applied Mathematics will comprehend connections and continuity between individual fields of mathematics, especially Numerical Analysis, Statistics, and Discrete Mathematics. They will learn to employ the above knowledge to deal with practical problems by tracing their underlying mathematical structure. They will learn to design the corresponding mathematical model and solve it using appropriate mathematical methods.

Study curriculum

Faculty Faculty of Electrical Engineering and Computer Science
Study programme Computational and Applied Mathematics
Type of study Follow-up Master
Language of instruction English
Code of the branch S01
Title of the branch Applied Mathematics
Regular period of the study 2 years
Coordinating department Department of Applied Mathematics
Coordinator prof. RNDr. Jiří Bouchala, Ph.D.
Key words mathematical modelling
optimization methods
variation methods and FEM
mathematical and functional analysis