In a world where fundamental scientific discoveries and high technologies determine the vector of global development, there is a need for scientists and innovators of a new level. The training of candidates for the degree of Doctor of Philosophy (PhD) in Systems Analysis and Data Science is aimed at forming researchers capable of creating new methods, mathematical models and intelligent technologies to solve the most complex scientific and practical problems.
The educational and scientific program is based on the fundamental principles of modern methodology of systems analysis and focuses on conducting deep systems research. The issues of scientific research cover the development of methods of artificial intelligence, computer modeling, deep data analysis (Data Mining) under conditions of uncertainty, decision-making theory, as well as the development of algorithms for risk assessment and forecasting of dynamic processes.
The key feature of the training is the combination of mathematical modeling and modern information technologies with the solution of current scientific and practical tasks in the direction of sustainable development goals. Applicants master the methodology of conducting complex research, formulating scientific hypotheses, creating their own conceptual models and validating them on real objects.
Graduates of postgraduate studies are the scientific and technological elite: leading researchers (R&D specialists), architects of complex intellectual systems, experts in Data Science, as well as scientific and pedagogical workers of higher education institutions and consultants of international scientific projects. This is a conscious path for those who strive to expand the boundaries of scientific knowledge and develop innovative technologies of the future.
