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Our Oranization:
Faculty of Mechanics and Mathematics
Over the past 25 years, the Faculty of Mechanics and Mathematics at the University has trained more than 200 highly skilled specialists across various fields of mathematics and mechanics. Additionally, around 1,000 of its graduates have earned the titles of Candidate or Doctor of Sciences. A remarkable group of distinguished scientists associated with the faculty has significantly contributed to advancing critical areas of mathematics and mechanics, playing key roles in pioneering projects such as the atomic program and space exploration.
Faculty graduates are employed in a wide range of fields, including research institutes, industrial enterprises, banks, laboratories, computer centers, educational institutions, and schools. Each year, over a third of the graduates pursue postgraduate studies, continuing their research efforts toward preparing dissertations. Upon successful completion, they are awarded the degree of Candidate of Physical and Mathematical Sciences.
Faculty of Computational Mathematics and Cybernetics
The Faculty of Computational Mathematics and Cybernetics (CMC) is a premier center for advanced training in Applied Mathematics, Computing Technologies, and Informatics. With a highly qualified faculty and a blend of rigorous theoretical instruction and practical expertise, our graduates are highly sought after by leading scientific institutions, industrial enterprises, commercial organizations, and other sectors.
Research computing center
The Research Computing Center at MSU comprises 20 research laboratories and two research and production units. Its team includes 60 researchers, among them 1 academician of the Academy of Sciences, 3 corresponding members of the Academy, 26 doctors of sciences and professors, and 32 candidates of sciences. Research activities are supported by numerous grants from the Federal Property Fund and the Science Foundation. RCC staff actively participate in the federal target program “Research and Development in Priority Directions for the Development of the Science and Technology Complex for 2020–2025” and conduct research commissioned by state organizations.
Institute of Applied Mathematics of RAS
The Institute of Applied Mathematics is a premier research institution specializing in computational mathematics, established to address complex computational problems. It operates under the Department of Mathematical Sciences of the Academy of Sciences. The institute’s core mission is to apply advanced computer technologies to tackle challenging scientific and technical issues with practical relevance. Since 2016, it has expanded its scope to include the development of mathematical and computational methods for biological research, alongside addressing specific problems in computational biology using these techniques. The Institute plays a leading role in several prominent applied mathematics projects and is recognized for its contributions both within Russia and internationally. Over time, several distinguished research organizations, including the Computing Center, the Institute of Space Research, and the Institute of Mathematical Modelling, have emerged from the Institute, establishing themselves as key scientific centers within the Academy of Sciences.
Institute of Numerical Mathematics of RAS
The Institute of Computational Mathematics is a key institution within the Department of Mathematical Sciences of the Academy of Sciences. It brings together specialists in computational mathematics, atmospheric and ocean physics, as well as mathematical modeling in immunology and medicine, providing a unique platform for conducting both fundamental and applied research with an interdisciplinary and synthetic approach. The primary areas of scientific activity include:
- Fundamental research in computational mathematics, the development of efficient methods for solving mathematical physics problems, computational technologies for addressing large-scale problems, and the theory of numerical methods in linear algebra, conjugate equations, and parallel computing.
- Development of a mathematical theory of climate, numerical modeling of atmospheric and ocean circulation, and the creation of global climate models.
- Analysis and modeling of complex systems, including those related to the environment, ecology, medicine, immunology, and bioinformatics.