Working Language: Russian (A Few Disciplines Delivered in English)
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St. Petersburg State University Economic Faculty Master program: Mathematical Methods in Economics Degree: Master Study: full-time Working language: Russian (a few disciplines delivered Duration: 2 years in English) Field of Training: 080100 Economics Main objective of the program: training of high-qualified professionals with profound knowledge of the modern economics, equipped with the skills necessary to conduct applied research with the use of advanced mathematical and computer-based approaches and technologies.
Specialisation opportunities: Faculty:
Prof. Pavel V. Konyukhovsky, Head of Master Program: Mathematical Methods in Economics Game Theory, Optimization models in economic research Prof. Alexey V. Vorontsovsky: Double Degree Programme in collaboration with Economic Growth, Capital market theory, Risk Management, European University of Viadrina (Germany) Investment Decisions.
Prof. Nikolay V. Hovanov: Main Disciplines: Decision Making under Risk and Uncertainty, Quantification of Non-numerical, Imprecise and Incomplete Information
. Econometrics – Advanced level Prof. Sergey A. Vavilov: . Microeconomics – Advanced level Financial Asset Pricing, Stochastic Pricing Models, Real . Macroeconomics – Advanced level Options, Financial Engineering.
Prof. Valentina E. Parfyonova: . Mathematical Economics – Advanced Level System Analysis, Mathematical Modelling
. Production and Operations Management Prof. Knut K. Richter: Operational Research, Logistics, Supply Chain Management. . Supply Chain Management
. Mathematical methods in microeconomic PhD. Anton L. Dmitriev: Microeconomics, the History of modelling of demand Economics
PhD. Olga A. Podcorytova: . Econometric analysis of innovative processes Applied and Theoretical Econometrics, Statistics. . Contemporary analysis of panel data – Advanced PhD. Eugeny V. Gilenko: Level Applied and Theoretical Econometrics . Economic-mathematical methods of business valuation PhD. Konstantin Y. Yermolenko: . Mathematical methods and software in the Asset management, Business Evaluation Methods. organization of trading systems . Simulation methods for economic analysis PhD. Tatiana N. Pervozvanskaya: . Recent advances in mathematical modelling of the Risk Hedging, Mathematical Methods of Financial Engineering capital market PhD. Anna S. Kuznetsova: . Game Theory – Advanced Level Logistics, Supply Chain Management, Mathematical Methods of Stock Management
. Quantitative Risk Management Doctor Andrey A. Kudryavtsev: Risk Management, Microeconomic Modelling, Underwriting . Risk Management – Advanced Level Methods. PhD. Irina O. Rakhmanova: . Mathematical Models and Business Planning Economic Systems Modelling, Instrumental and Mathematical Approaches to Business Planning L e a r n i n g o u t c o m e s :
Our students acquire deep understanding and vast practical skills necessary in the field of mathematical and instrumental approaches to economic behaviour modelling. Specifically, upon the graduation, they are prepared to perform successfully in the fields economic dynamics statistical analysis both on the micro- and macro-level, financial and product market processes, the optimal management of an enterprise.
W h e r e g r a d u a t e s w o r k : Analytical branches of banks, financial and insurance companies, particularly, risk-management departments;
economic, financial, marketing, production and analytical branches in various companies;
financial, banking and insurance companies;
IT and analytical branches of investment and superannuation funds;
financial and investment official bodies of Saint Petersburg’s government; consulting corporations; academia. I n t e r n s h i p s : economic, financial, marketing, production and analytical branches in various companies; financial, banking and insurance companies; investment and superannuation funds; financial and investment official bodies of the local government, consulting companies;
educational and academic institutions, R&D and design organisations (with the opportunities to participate in R&D projects).
A d m i s s i o n : Applicants from foreign countries submit the TORFL-2 certificate (Testing in Russian as a Foreign Language); a Bachelor diploma, a passport, and migration documents; the portfolio of documents including the motivation letter, an essay written at home on one of pre-given topics, and optional documents approving foreign language abilities, research and publication experience which are to be considered at the examination committee to select the most qualified and motivated applicants. The admission rules, the criteria for the portfolio assessment, and a comprehensive list of documents to be submitted are downloadable from the Admissions Office web page: http://abiturient.spbu.ru K e y a s p e c t s :
The students are permitted to take part in the double diploma programme run in cooperation with European University of Viadrina (Germany) (the «Information & Operations Management» programme, the MSc degree is granted upon the successful completion). The participation in the programme implies studying in Germany for a 60 ECTS equivalent time period (classes are taught in English). The programme involves interactive education approaches (business play, small group classes, case studies). Lectures are conducted by leading professors from Russian and foreign universities. Students are provided with the access to electronic libraries (which include JSTOR, Science Direct etc.), informational, legal and statistical databases.
C o n t a c t s i n f o r m a t i o n : Postal Address Admissions Office for Foreign Citizens Department of Economic Cybernetics, office 416 Office 10, Rector’s Wing St. Petersburg State University 9 Universitetskaya Naberezhnaya Economic Faculty St. Petersburg 199034 Russia 62 Tchaikovskogo str. Tel./Fax: +7 812 328 32 91 St. Petersburg 191123 Russia E-mail: [email protected] Web: www.econ.spbu.ru Web: http://abiturient.spbu.ru
The Centre for International Mobility Programs of Department of Economic Cybernetics SPSU (Economic Faculty) E-mail: [email protected] Tel.: +7 812 272 07 85 Email: [email protected]