Applied Mathematical Stochastic Methods

Course abbreviation: P_AMSMB
Course code: B0541A170023
Course duration: 3 years

Degree Course Characteristics

The Bachelor Course is of interdisciplinary character and covers classical and cutting-edge topics of mathematics, physics, and informatics. As against mathematical disciplines offered at the Faculty as part of other fields, the course emphasizes understanding elementary as well as advanced issues of mathematical statistics with a view to prepare students for solving real tasks in professional placements. Students are acquainted with issues of mathematics explored in both the academic and commercial milieus.

Mathematics courses include sections of calculus, linear algebra, probability, and mathematical statistics. Physics courses are devoted to mechanics, electricity and magnetism, waves and optics, as well as theoretical physics. Informatics courses are important in shaping fundamental computer skills and acquaint students with techniques of programming and methods of symbolic calculations.

Modern mathematics, physics, and informatics are deeply interlinked, and so, thanks to the knowledge acquired, graduates can upgrade their qualifications by entering more advanced study programmes and thus be eligible for professional placements in the fields of mathematics, physics, natural sciences and engineering. They can also be successful in science, research, and commercial professions making use of mathematical methods.

Graduate´s Profile

Knowledge:
The graduate will have gained the knowledge of fundamental disciplines of mathematics, physics, and informatics further extended by theoretical statistics and applied statistics (Markov chains, machine learning, statistics of particle systems). Afterwards, the graduates can continue this degree course by entering the Continuation Master Programme in the same or related field of study.

Skills:
The graduates will have acquired an ability to apply independently the methods, procedures, and models of solving real problems of stochastic/economic/socio-dynamic, and physical systems, such as processing a large amount of data, decision making under uncertainties, tasks of machine learning and digital image processing, numerical and optimization tasks or process control. Also, an ability to compare the outcomes of mathematical methods with the experimental/empirical results obtained. As well as an ability to follow new trends in the respective field and quickly become familiar with interdisciplinary issues, analyse issues, and synthetise results. The newly acquired skills will also include a sense of responsibility for the work done and decisions made.

Competency:
The graduates can enter professional jobs in industry, the banking and private commercial sectors, and science and research, because they are professionally trained to approach issues analytically and systematically plus use advanced computer technology. The Bachelor Course prepared them adequately for a Continuation Master Programme or for jobs in private enterprises or commerce concerned with designing, implementing, and evaluating applied methods of mathematics.

State Final Examination

• Calculus
• Probability and mathematical statistics

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.