01.04.02 Applied mathematics and information science

The program combines instruction in fundamental mathematical training with training in computer modeling, algorithm development and programming. A strong infrastructure of training and research laboratories permits formulating and solving complex research problems and efficiently incorporates research work in the educational process. Students are expected to develop their potential by doing independent research (“pre-graduate program”) and undergoing extensive practical training.
Level of education:
Master’s degree
Form of training:
Full-time (daytime)
Place of training:
Moscow
Entrance examination:
— Higher mathematics
Profiles and specializations:
Mathematical modeling
The training program includes mathematical simulation of complex dynamic objects of the technological, biotechnological and socio-economic world. Cooperation with the Institute’s strategic partners (enterprises and research organizations) enables our alumni to integrate quickly and effectively in their employer’s business or line of activity.
Good mathematical training combined with skills in computer modeling, algorithm building and programming permits our alumni:
- to independently solve the problems at hand in the analytical departments of various companies
- to develop and set tasks of applied nature for programmers
- to formulate and resolve new tasks emerging in the operation of sophisticated information technology
- to be engaged in development of applied software
- to create DBMS for various purposes
- to participate in the development of integrated information and mathematical software systems for various fields of activity
Professions that a graduate can choose
  • systems analyst in banks, industrial corporations, and high-level government structures in industry management and manufacturing
  • algorithm builder and software developer for complex information systems
  • database and expert system designer
  • developer of mathematical models for complex technical systems
  • developer of mathematical support for information processing and control shaping in complex technical systems
  • developer of mathematical software for information processing in multimedia databases
  • researcher in applied or computational mathematics or in theoretical information science
  • instructor in mathematics, applied and computational mathematics, and information science
Specialized disciplines
  • Continuous mathematical models
  • Modern computer technologies
  • Discrete mathematical models
  • Special modeling/simulation techniques
  • Mathematical models of mechanics
  • Mathematical image recognition models
  • Encoding methods
  • Methods of solving ill-posed problems
  • Methods of solving mechanical problems
  • Mathematical models of automatic control theory
  • Mathematical models of ultrahigh-frequency devices
Graduating department:
Department of Higher Mathematics
Software tools for information processing and control in automatic and man-machine systems
Upon completing the master’s program the students are expected to be able professionally:
- to build mathematical models and explore them analytically; to develop algorithms, techniques, software, and tools required by their research projects
- to study systems using mathematical prediction and system analysis methods
- to develop and apply modern high-performance computing technologies, and to use modern supercomputers in research
- to study new research results, scientific literature or research projects in the field of applied mathematics and information science on the subject of their research
- to make scientific reviews, abstracts and bibliographies, and to prepare academic and technical publications on the subject of their research

Students have access to modern workplaces at the partner enterprise. The program is adapted to the needs of specific employers.
Professions that a graduate can choose
  • systems analyst for banking and industry
  • algorithm and software developer for complex information systems
  • database and expert system designer
  • processor system developer
  • researcher in applied mathematics and information science
  • instructor in mathematics and information science
Specialized disciplines
  • Foundations of scientific research
  • Wave process modelling
  • Approximate computing
  • Software user interface design
  • Intelligent systems
  • Radar data processing
  • Software ergonomics
  • Radar processing
  • Software ergonomics
  • Computational methods of radio detecting and ranging
Graduating department:
Core Department No. 536 on Software for Radio-Electronic Equipment Systems