Quantitative finance

Do you want to manage your life? Choose the right course

Why should you choose this program?

• You will be aware of the latest trends in the financial sector;
• You will have knowledge of decreasing risks and applying appropriate tools in different situations;
• You will gain an understanding of the technical aspects used in financial markets: from the financial theory to showing various applications of the theoretical concepts;
• You will get necessary skills and experience of econometric modeling as well as programming;
• The program provides education in English. However, you have a good opportunity to get acquainted with Russian culture and make useful contacts, search for opportunities and stay in touch;
• Program is implemented with participation of professors from leading international universities and experts from industry; 
• You also have opportunity to apply to 6-month international internship at one of the partner universities.

About the program

Fundamental background & Practical skills in the following fields: understanding the modern financial theory; knowledge of asset pricing and risk management; understanding the corporate finance; analysing big data using SQL; programming skills in Python; experience of econometric modeling in Stata.	Employment large investment banks; smaller boutique finance firms; hedge funds; audit organizations; consulting agencies; other specialist companies.
Degree awarded Master’s Degree (Peter the Great St. Petersburg Polytechnic University, Russia)	Total workload 120 ECTS
Program duration 2 years, full-time  3-4 semesters at SPbPU + 1 semester at a partner of university (optional)	Language The program is taught in English
Major areas of expertise financial accounting risk management banking management financial markets and derivatives financial technology big data analytics corporate finance asset management	Tuition fee per year: 334 600 Rubles

Visit lectures of the TOP-ranked professors from all over the world!

Professor Ahmad Pouyanfar

Research & Teaching area
Corporate Finance, Risk Management and Modeling, Business Valuation

Associate Professor Abhinava Tripathi

Research & Teaching area
Financial Markets, Market Microstructure, Liquidity, Market Efficiency

Professor Mohammed Ali Berawi

Research & Teaching area
Sustainable Development, Engineering Economics

Associate Professor Andrey Efremov

Research & Teaching area
Mathematical Analysis and Probability Theory, Digital Transformation of Business Processes

Universities – Program Partners

Khatam University

Khatam University is a young leading private university in Iran which has established a new era of higher education in Iran.

Indian Institute of Technology Kanpur

Indian Institute of Technology Kanpur is a public institute of technology located in Kanpur, Uttar Pradesh, India. It was declared to be an Institute of National Importance by the Government of India under the Institutes of Technology Act.

Universitas Indonesia

Universitas Indonesia is a public university in Depok, West Java and Salemba, Jakarta, Indonesia. It is one of the oldest tertiary-level educational institutions in Indonesia (known as the Dutch East Indies when UI was established), and is generally considered one of the most prestigious universities in Indonesia.

Belarusian State University of Informatics and Radioelectronics

The Belarusian State University of Informatics and Radioelectronics is a public Higher Education Institution accredited by the Ministry of Education of the Republic of Belarus. Nowadays it is a large educational and scientific complex in Minsk, Belarus.

Companies – Program Partners

Jump at the internships opportunities in European universities!

You have chance to study an adaptive credit-bearing module in our Summer School “Quantitative Finance” in cooperation with City, University of London.

Admission procedure

You are kindly required to fill in an on-line application. International applicants may find additional information concerning admission at SPbPU website

Learn more about MSc Degree Quantitative Finance

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