Operations Research and Systems Analysis

01.04.02In russian

Level of education Master

Type of instruction Full-time

Duration 2 years

Main academic courses
  • Queuing Theory
  • Graphs and Flows in Networks
  • Discrete and Probabilistic Models
  • Differential Games
  • Differential Games in Economics
  • Supplementary Chapters of Relativity Theory and Mathematical Statistics
  • Simulation Modelling
  • Computer Modelling and Queuing Management
  • Cooperative Games
  • Laboratory Workshop in Modern Philosophy and Methodology of Science, History and Methodology of Applied Mathematics and Computer Science, Continuous Mathematical Models, Discrete and Probabilistic Models
  • Mathematical and Computational Methods of Operations Research
  • Mathematical and Computer Forecast
  • Machine Learning
  • Monte Carlo Method and Applications
  • Operations Research Methods and Models
  • PERT and Project Management Applied Statistics in R Internship (Research Work)
  • Workshop in Operations Research and System Analysis
  • Graduation Project Seminar
  • Network Games
  • Modern Computer Technologies
  • Modern Control Theory
  • Game-theoretic Models of Imperfect Competition
  • Technology of Internet Application Development
  • Statistical Inventory Management
  • Project Management in Information Technology
  • Practical Training (Design and Technology)
  • Financial Mathematics
  • Evolutionary Games
  • Econometrics
Our advantages
  • The master's programme ‘Operations Research and Systems Analysis’ trains highly qualified specialists for a future career in industry, science and education.
  • The programme is designed for students who want to deepen and improve existing knowledge, as well as acquire competencies in the chosen field of training.
  • Students have an opportunity to build their individual educational path: the curriculum provides a wide range of elective courses.
  • Students also have an opportunity to study: various optimisation methods used to solve scientific and practical problems; and how to build mathematical models for forecasting and managing production, economic and social processes.
  • Graduates of the programme will be able to set and solve problems in various applied areas that require an analytical approach, fundamental knowledge of mathematics, scientific sophistication, and the ability to make decisions in conflict and uncertain situations.
  • The knowledge acquired will make it possible for graduates of the programme to: work with big data and queuing analysis; make decisions under conditions of uncertainty; and carry out qualitative and scenario analysis in various economic/ biological/ industrial models.
Practical training and future career
  • Production and industrial enterprises of various forms of ownership in the field of strategic information technology
  • Research institutes of the Russian Academy of Sciences and other research organisations
  • Banks and other financial institutions
  • Enterprises of high technology and innovation
  • State and municipal agencies
  • Healthcare institutions

Organisations where our graduates work

  • PJSC Sberbank of Russia
  • PJSC Gazprom Neft
  • PJSC Bank VTB
  • Leningrad Regional Chamber of Commerce and Industry
  • Insurance Company of Gas Industry SOGAZ
  • The Legislative Assembly of St Petersburg
  • Limited Liability Company Gazprom Transgaz Saint Petersburg
  • The Committee for Economic Policy and Strategic Planning of St Petersburg
  • Yandex
  • PROTEI Company
  • Joensuu Science Park Ltd
  • Oracle Corporation
International relations
  • The Kellogg School of Management (the USA)
  • The National Institute for Research in Digital Science and Technology (France)
  • HEC Montréal (Canada)
  • Qingdao University (China)
  • The Center for the Study of Rationality, Hebrew University (Israel)
  • The Chinese University of Hong Kong (China)
  • Lappeenranta-Lahti University of Technology (Finland)
  • The National Autonomous University of Mexico (Mexico)
  • The Universidad Anáhuac México (Mexico)
  • The Sapienza University of Rome (Italy)
  • New York University (the USA)
  • The University of Barcelona (Spain)
  • The University of Urbino ‘Carlo Bo’ (Italy)
  • Bocconi University (Italy)
Main areas of research
  • Operations research
  • Game theory
  • Econometrics
  • Big Data
  • Decision theory
  • Queuing theory
  • Applied statistics
  • Operational analysis of joint ventures
  • Pollution and environmental issues