Mathematical and Information Technologies

03.04.01In russian

Level of education Master

Type of instruction Full-time

Duration 2 years

Main courses
  • History of Physics and Applied Mathematics
  • Modern Problems of Natural Science
  • Databases in Scientific Research
  • Visual Software Development Tools
  • Modelling Controlled Physical Processes
  • Modelling Energy Processes and Systems
  • Theory and Methods of Digital Image Processing
  • Mathematical Modelling and Information Technology in Fundamental Research
  • High-Performance Computing Software
  • System and Application Software
  • Neural Networks in Problems of Image Recognition
  • Parallel and Distributed Computing
  • Computer Modelling and Computational Experiment in Mathematical Physics Problems
  • Variation Methods in Optimisation Problems
  • Modern Philosophy and Methodology of Science
  • Libraries for the C++ Programming Language and Algorithmic Operations
  • Numerical Simulation of Magnetic Fields of Electrophysical Apparatus
  • Software Design Patterns
  • Research Practice (Internship)
  • Pre-graduation Practice
  • Practical Training
  • Differential Equations
  • Charged Particles Accelerators
  • Modelling Charged Particles Dynamics in Accelerators
  • Mathematical Physics Equations
  • Research Project
  • Control Systems for Mega-Science Facilities
  • Electrodynamics and Technology of RF and Microwave Frequencies
  • Computer Modelling of Controllable Processes
  • JINR Research Facilities
  • Fundamentals of Physics and Technology of Cyclic Accelerators
  • Scientific-Research Work
  • Foreign Language
Our advantages
  • The academic programme is designed to train specialists involved in independent activities to apply methods of applied mathematics, mathematical modelling, and information technology
  • The programme is aimed at training specialists in the field of research, analytical, design, developmental, innovation, production, managerial, and teaching activities
  • The programme is implemented with the involvement of unique physics facilities of the Joint Institute for Nuclear Research and the technical and methodological support of the JINR University Centre. Students who successfully master the academic programme may be assigned an additional increased scholarship
  • There is an opportunity to take part in major national and international conferences and research projects
International relations

Master’s students can take part in the exchange of best practices with programme partners: Karlsruhe Institute of Technology (Germany) and the University of Michigan (USA), as well as in academic mobility programmes with partner universities of St Petersburg University.

Main areas of research
  • Digital technologies as a tool for solving problems of modelling, management, and optimisation
  • Development of modelling and optimisation methods and software for controlling a charged particle beam in accelerators and plasma in tokamaks
  • Intelligent optimisation
  • Intelligent automation of industrial process control
  • Mathematical modelling and development of methods and software for control in nuclear power industry
  • Control of complex mechanical systems
  • Traffic control of aircraft and flying constellations
  • Development of methods and software for solving medical challenges (tomography)
  • High-performance computing
  • Software development for testing radio-electronic analogue and digital devices
  • Problems of signal and pattern recognition using digital and intelligent technologies
  • Machine learning
  • Mathematical modelling and solution to problems of stabilisation of magnetic levitation transport systems
Career opportunities

Jobs related to application of the methods of applied mathematics, applied physics, computer and information technologies; creation and use of mathematical, physical and computer models of processes and objects; development and application of modern mathematical methods and software for solving problems of science, technology and management.

  • Software engineer
  • Systems analyst
  • R&D engineer