Program Overview

Game Theory and Operations Research

Programme Overview

The master's programme 'Game Theory and Operations Research' trains highly qualified specialists for a future career in industry, management, science, and education. The academic programme is taught in English. During training, students study: models and methods of operations research; game theory; econometrics and applied statistics; queuing theory; and the use of computer technology in these areas.

Programme Details

• Level of education: Master
• Type of instruction: Full-time
• Duration: 2 years

Programme Description

The master's programme is aimed at university graduates with a bachelor's or specialist's degree who wish to continue their education in applied mathematics and informatics.

Main Courses

• Research Seminar in Game Theory and Operations Research
• Artificial Intelligence in Operations Research
• Qualitative Methods of Applied Economic Analysis
• Computer Modelling and Queuing Management
• Logistics and Supply Chains
• Machine Learning
• Optimisation, Forecasting and Artificial Intelligence in Industry
• Game-Theoretic Models of Economic Competition
• Integer Programming, Transport and Network Models
• Evolutionary Games
• Econometrics. Advanced Level
• Project Management
• Dynamic games
• Modern Control Theory
• Statistical Decisions and Econometrics

Our Advantages

• 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.

Teaching Staff

• Leon Petrosyan, Doctor of Physics and Mathematics, Professor, Head of the Department of Mathematical Game Theory and Statistical Decisions at the Faculty of Applied Mathematics and Control Processes at St. Petersburg State University.
• Vladimir Bure, Doctor of Engineering, Professor, Head of the St. Petersburg State University grant.
• Elena Parilina, Doctor of Physics and Mathematics, Professor in the Department of Mathematical Game Theory and Statistical Decisions.
• Artem Sedakov, Doctor of Physics and Mathematics, Professor in the Department of Mathematical Game Theory and Statistical Decisions.

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

Career Opportunities

Graduates are capable of conducting a wide range of analytical, research, and teaching activities at research centres, R&D companies, universities, and many other organisations, including:

• Manufacturing 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 institutions
• Financial and banking institutions
• Enterprises engaged in high technology and innovations
• Bodies of state and municipal administration
• Healthcare institutions

Professions

• Expert in research and engineering
• Specialist in R&D organisation and management
• Teacher of professional training, vocational education, and lifelong professional education and training
• Software developer
• Information resource specialist
• Systems analyst

Tuition

Tuition fees are not specified in the provided context.