Mathematical Informatics

Course characteristics

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 specialised 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.

Graduate's profile

Knowledge: The graduate acquires a broad knowledge of advanced disciplines of informatics and modern mathematics, which (depending on the chosen specialisation) are furthered in courses in mathematical informatics, implementation methods, and software project management.

Skills: The skills acquired include design, analysis, software project management, management of large IT systems, computer networks and databases, and ability to work in teams. In the specialised courses, focus is placed on further skills in mathematics and applied computer science, management of large systems, and intensive and parallel calculations. In addition to these specialised skills, Mathematical Informatics graduates also gain other typical skills such as adaptability, a quick grasp of unfamiliar interdisciplinary problems, problem analysis and its corresponding computer processing, synthesis, and good writing skills. They also develop a sense of responsibility at work and in decision making.

Competency: Positions for the graduates are open mainly in the field of information technology, in industry, research, and the private sector, and their capabilities to use highly analytical methods of work and a systematic approach to solving problems with modern information technologies are highly appreciated. Such positions are available in research and development centres of large companies, software (IT) centres, in logistics, and banking.

State final examination

• Mathematical informatics - compulsory subject
• Image processing and pattern recognition - compulsory subject
• Graph theory - elective subject
• Number theory - elective subject
• Parallel architectures and mainframe - elective subject