Mathematical Engineering

Course abbrevitation: P_MIN
Course code: N0541A170027
Course duration: 2 years

Degree Course Characteristics

The Continuation Master Course is interdisciplinary and is oriented towards advanced parts of mathematics and informatics applied to natural sciences, physics, and engineering. The courses go deep into the above fields and will give a broad overview of the present-day state of the art. The specialized courses of the curriculum cover functional analysis, variation methods, dynamics of continuum, stochastic systems and their applications in creating mathematical models and their computational processing for various fields of science, engineering, environmental protection, or biology. The degree course also comprises independent student projects on individually tailored topics, enabling deeper orientation in the issue. These projects often result in new findings and data publishable in professional periodicals. The interconnected knowledge of modern mathematics, physics, and informatics is a good basis for more advanced studies and jobs in physical, mathematical, and engineering practice and in natural sciences, as well as for positions in science, research and engineering.

Graduate´s Profile

Knowledge:
Graduates will be acquainted with the advanced parts of mathematics and informatics. According to their specialization, they will deepen their understanding of modern mathematics, informatics, and scientific and engineering calculations used for creating mathematical models for various fields of science, engineering, protection of the environment, and biology.

Skills:
Graduates will be skilled in using methods and procedures of mathematics and physics for solving actual engineering issues by modern computer technology. They know how to apply advanced methods and processes of mathematics to solving actual research and engineering issues in dynamics of continuum, stochastic systems, optimal control, image processing, mathematical informatics, and intensive calculations and compare the methods with the data obtained. Graduates are prepared to follow new trends in a given field and are able to orient themselves promptly in interdisciplinary problems, in problems analysis and synthesis of results. Typical skills which graduates develop throughout the degree course are adaptability, quick orientation in unknown interdisciplinary problems, analysis and computational processing of issues, synthesis of results, and good written communication. Graduates accept responsibility for their work and the decisions made.

Competency:
Due to analytical and systematic approach to what they do, to the knowledge acquired and skills in operating modern computer technology, graduates are good candidates for jobs in industry, research and the private sector. They are able to manage the development of software applications, or assume positions in data processing and analysis, and in practical use of mathematical methods. They may apply for posts in the Czech Academy of Sciences, in research and development centres of big companies, other research institutions, or fill managerial positions.

State Final Examination

• Functional analysis - compulsory part of examination
• Variational methods – compulsory part of examination
• Numerical mathematics – optional part of examination
• Mathematical optimization – optional part of examination
• Graph theory - optional part of examination

Details on the examination and its parts are subject to valid legislation and internal regulations and rules and are available at Study Programmes and Regulations.