Operations Research

The doctoral program in operations research is designed for doctoral students with an interest in research in this field of mathematics and with an affinity for a career in academia, research organizations or research units in industry.

The aim of the doctoral program is to prepare highly qualified scientists with skills for research and teaching at a high level by giving them solid knowledge in the field of a dynamically developing and promising field of mathematics - operations research. The use of various methods in the field of operations research allows the most effective management decisions, which is unattainable by using standard tools for data analysis.

The emphasis in the doctoral program is placed on the theoretical foundations of operations research. At the same time, PhD students are trained to recognize and analyze the tasks that arise in real situations and to apply the mastered optimization techniques to help the government, business and society as a whole. The benefits of using operations research in areas such as finance, energy, transport, healthcare, bioinformatics and industrial engineering are invaluable. Organizations using the expertise of operations research specialists are given the opportunity to analyze all available options, to predict all possible outcomes, while analyzing the associated risk.

During their studies, doctoral students integrate into the academic environment of the Faculty of Mathematics and Informatics and into the community of scientists working in the field of operations research. In this way they gain knowledge about the current state of scientific research, receive support for teamwork, but they are mainly encouraged to conduct independent research and get new results in key areas, such as convex analysis, optimization, variation analysis, optimal management, etc.

Professional area: 
4.5. Mathematics
Degree: 
Educational and Scientific Degree “Doctor”
Programme code: 
MI45M0301D / MI45M0302D / MI45M0303D
Form of education: 
full-time / part-time / self-study