Level of education: Aspirantura programme

Type of instruction : Full-time

Duration: 4 years

Language of instruction: Russian

Main academic courses

  • Parallel Algorithms and Programming. Part 1
  • Problems of Mathematical Modelling on Parallel Systems. Part 1
  • Methods and Problems of Statistical Modelling. Part 1
  • Supplementary Chapters of Computer Science. Part 1
  • Parallel Algorithms and Programming. Part 2
  • Stochastic Programming. Part 2
  • Methods and Problems of Statistical Modelling. Part 2
  • Problems of Mathematical Modelling in Applied Cybernetics. Part 2
  • Problems of Mathematical Modelling on Parallel Systems. Part 2
  • Machine Learning for Large Collections
  • Supplementary Chapters of Computer Science. Part 2
  • Microsoft.NET Platform
  • Quantum Computers
  • Software for Computers, Computer Complexes and Networks
  • Theoretical Fundamentals of Computer Science
  • Mathematical Modelling, Numerical Methods and Programme Complexes

Resource opportunities for research

  • The St Petersburg University Research Park

Our advantages

The programme is focused on the study of: advanced problems of creating and functioning of computer complexes and systems; computer science; the theory of signal processing and control associated with the priority areas of technological development of the Russian Federation; and priority areas of modernisation of the Russian economy. Special attention is paid to research and development of tools and technologies.

The programme is designed to train highly qualified specialists who are able to solve problems according to their qualifications and related to:

  • the creation and use of software tools for information systems;
  • the development of software and algorithms for solving problems of computer equipment;
  • software development for computer equipment and automated systems;
  • the use of computer equipment, as well as the development of new areas and methods of application of computer technology and computer-aided systems in information systems and networks.