01.03.05 Statistics

Under the program, highly qualified personnel are trained to obtain modern skills in collecting and processing significant bulks of information and data sets, develop methods of economic analysis, technologies for forecasting the development of economic situations that are to provide analytical support to managerial decisions made at the micro and macro levels and aimed to increase business efficiency. Students get knowledge in the field of economics, management, law, statistics, information systems and information and communication technologies, learn to evaluate a business, its development strategy, conduct financial and managerial analysis.
Level of education:
Bachelor degree
Form of training:
Full-time (daytime)
Venue of training:
Entrance exams:
— Mathematics (major)
— Russian language
— Information science and ICT
Programs, specializations:
Business analysis
In this area of instruction, students will acquire fundamental knowledge in economics, mathematics, statistics and computer technologies. Graduates of the program are engaged in gathering and processing statistical information, including official data on social, political, economic, demographic, and environmental phenomena. The greater part of work is data analysis (statistical and mathematical), modeling of socio-economic phenomena and processes, the assessment of the status and development prospects of specific objects. 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.
Alumni can be employed as
  • analyst
  • financial analyst
  • business analyst
  • economist
  • stock market analysts
  • statistician
  • market researcher/statistician
  • risk managers
Program subjects
  • Information technology in statistics
  • Statistical forecasting techniques
  • Statistical risk analysis
  • Information technology in statistics
  • Econometrics
  • Statistical analysis of financial markets
  • Neural networks
  • Panel data analysis methods
  • Statistical analysis of big data
  • Monitoring of national economic security
Graduating Department:
Department of Statistics