01.03.05 Statistics

Level of education:
Bachelor's degree
Form of training:
Full-time (daytime)
Place of training:
Entrance examination:
— Mathematics (major)
— Russian language
— Information science and ICT
Profiles and specializations:
Business analysis
In this area of instruction, students will acquire fundamental knowledge in economics, mathematics, statistics and computer technologies in complex with professional competences in statistical data processing, analysis and projection of macro- and micro-level social and economic processes. They will also learn to model business processes statistically and mathematically on the basis of machine learning.

Upon graduation, they will become singular specialists/analysts with deep theoretical knowledge and practical skills of statistical and mathematical analysis, capable of modeling of socio-economic phenomena and processes and assessing the current state and development prospects of specific entities and trends, with proper account taken of relevant economic tendencies. Their level of qualification will allow them to assure analytical support for optimal economic and managerial decision-making.
Professions that a graduate can choose
  • analyst
  • financial analyst
  • business analyst
  • economist
  • civil service employee
  • statistician
  • market researcher/statistician
Specialized disciplines
  • Multivariate statistical methods
  • Statistical forecasting techniques
  • Statistical risk analysis
  • Information technology in statistics
  • Econometrics
  • Sample survey theory
  • Statistical analysis of financial markets
  • Neural networks
  • Panel data analysis methods
  • Statistical analysis of big data
  • Macroeconomic statistics and national accounting
  • Statistical analysis of the social sector
  • Monitoring of national economic security
  • Statistics of the information society