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Admission Educational Programmes Graduate

Mathematical Methods of Economics

In Russian

Level of education Master

Type of instruction Full-time

Duration 2 years

Programme description
  • The "Mathematical Methods of Economics" programme is designed to train specialists with extensive knowledge of modern economics and applied research using modern mathematical, instrumental, computer methods and technologies
  • The programme provides in-depth training in the field of optimization, probability-theoretical, econometric, game-theoretic methods. Mathematical training of graduates opens up wide opportunities for continuing research activities
  • The curriculum is designed taking into account professional standards and employers’ opinion on compliance of graduates’ competencies and job duties and responsibilities. The programme is aimed to train specialists who will be able to independently develop and adapt appropriate mathematical and instrumental tools in response to the challenges emerging both at the micro and macro levels in the field of economics taking into consideration the risks and uncertainty of the modern world
Main courses
  • Microeconomics. Advanced level
  • Macroeconomics. Advanced level
  • Econometrics. Advanced level
  • Games theory. Advanced level
  • Econometric Analysis of Innovation Processes
  • Risk and Uncertainty in Econometric Modelling
  • Stochastic Programming
  • Modern methods for panel data analysis
  • Business valuation and value-based management
  • Operations and Supply Chain Management (OSCM)
  • Mathematical and Simulation Methods in Economics
  • Financial Economics
  • Mathematical Methods for Analyzing the Effectiveness of Investment Projects
  • Mathematical Methods in Logistics
  • Mathematical Models And Methods for Business Planning
Our advantages
  • The programme trains highly qualified specialists capable of solving current economic problems, applying modern quantitative methods
  • The programme provides in-depth training in the field of optimization, probability-theoretical econometric, game-theoretic methods
  • The programme focuses on the comprehensive development of competitive advantages and the rapid professional growth of students with previous advanced training in mathematics. It also provides wide opportunities for employment and career growth of graduates
  • Deep theoretical and mathematical training provides graduates with great potential for personal and creative growth, continuing scientific activities in leading international universities and research centers
Main areas of research
  • Application of mathematical methods in the modern economy, including under conditions of increased level of conflict of interest, uncertainty and risk
  • Econometric models and methods in economics
  • Mathematical Methods in Logistics
  • Mathematical Models And Methods for Business Planning
  • Mathematical models for price formation and Taxation
  • Mathematical Models for complex analysis of modern commodity and raw materials’ markets
  • Modern methods of mathematical modelling of the capital market
  • Economic and mathematical methods for the business valuation
  • Economic and mathematical methods for the analysis of Russian-Chinese trade relations
  • Computational Methods and Models in Financial Engineering
  • Mathematical model of economic growth
Career opportunities
Professions
  • Teacher (educator in the field of preschool, primary general, compulsory, secondary general education)
  • Teacher of professional training, vocational education and continuing professional education
  • Payment systems specialist
  • Microfinance Operations Specialist
  • Stock Exchange Specialist
  • Internal Control and Compliance Specialist (Internal auditor)
  • Banking Treasury Specialist
  • Financial advisor
  • Mortgage Loan Specialist
  • Risk Management Specialist

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Tuition

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The programme descriptions for the 2025/2026 academic year are currently being updated. Information regarding admissions for the 2025/2026 academic year is available on the St Petersburg University Admissions Committee website.

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