Big data modeling and analysis in economics

Peter the Great St. Petersburg Polytechnic University
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5
Contract-based places
100
places on a budget basis
406 000
Cost of tuition per year

About the training program

The master's program is aimed at training highly qualified personnel in demand in the modern and promising labor market, who will have knowledge in the following areas: economics, management, programming, mathematics, and statistics. Within the framework of the program, interdisciplinary training of specialists in the field of analysis and modeling of economic data is implemented. During the training, students master methods and models for solving classification, clustering, regression, and anomaly detection tasks, as well as acquire programming skills in Python using libraries such as: Pandas, Statsmodels, Numpy, Scipy, Matplotlib, Scikit-learn, Seaborn, and others.

What will they teach you?

  • Макроэкономика (продвинутый уровень)
  • Многомерный статистический анализ
  • Наука о данных и аналитика больших объемов информации
  • Теория вероятностей и математическая статистика
  • Информационные системы и технологии в статистике
  • Проекты в сфере IT
  • Эконометрика (продвинутый уровень)
  • Наука о данных и Индустрия 4.0
  • Экономика и управление в организации.

What do graduates do?

A graduate of the master's program is a professional capable of setting economic and management tasks, modeling and analyzing big data using standard programs and programming languages, interpreting the obtained analysis results. Professions of program graduates: • Analyst • Business Analyst • Head of the Analytical Department • Big Data Specialist • Data Science Specialist

Pass score on budget

2026
97
2025
97
2024
97

Entrance exams

Exam 1 of 3

Russian Language

Exam 2 of 3

Interdisciplinary (Qualification) Examination

Exam 3 of 3

Interview

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