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
326 000
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?

  • Macroeconomics (advanced)
  • Multivariate statistical analysis
  • Data science and big data analytics
  • Probability theory and mathematical statistics
  • Information systems and technologies in statistics
  • IT projects
  • Econometrics (advanced)
  • Data science and industry 4.0
  • Economics and management in businesses.

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

2025
90
2024
90
2023
90

Entrance exams

Exam 1 of 3

Russian Language

Exam 2 of 3

Interdisciplinary (Qualification) Examination

Exam 3 of 3

Interview

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