01.04.04 Applied mathematics

The program provides in-depth training of professionals in information technology and mathematical data analysis methods. Emphasis is placed on computer model implementation techniques, the use of specialized software tools and methods for extracting knowledge from experimental data.
Level of education:
Master’s degree
Form of training:
Full-time (daytime)
Venue of training:
Entrance exams:
— Higher mathematics
Programs, specializations:
Data mining
Alumni can professionally engage in software application, development and research, along with the use of mathematical techniques and models designed to analyze, develop and prepare decisions in all spheres of activity and subject areas. They study in depth classical mathematical disciplines, modern concepts and methods of applied and computational mathematics, mathematical modeling and data analysis techniques in various fields: economics, physics, engineering, natural science, etc.
Students pursuing the program have access to modern training laboratories, specialized foreign and domestic software, large amounts of experimental data in economics, physics, technology, engineering, etc.
Alumni can be employed as
  • big data analyst
  • data analyst
  • data mining specialist
  • data scientist
Program subjects
  • Data analysis methods
  • Making and using neural networks and genetic algorithms
  • Data mining
  • Prediction and analysis systems
  • Mathematical simulation of applied tasks
  • Information support for data analysis systems
  • Applied tasks of non-linear dynamics
  • Parallel computing software
Graduating department:
Applied Mathematics Department