Modeling and analysis of big data in economics

Peter the Great St. Petersburg Polytechnic University
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5
Contract-based places
100
places on a budget basis
4 018
$
Cost of tuition per year

About the training program

The master’s degree program for training highly qualified specialists, in high demand on the modern job market, who possess knowledge in the fields of economics, management, programming, mathematics, and statistics. The program focuses on interdisciplinary training in the field of analyzing and modeling of the economic data. Taking the program, students will master methods and models for solving problems of classification, clustering, regression and anomaly detection and will also gain Python skills using a range of libraries, such as Pandas, Statsmodels, Numpy, Scipy, Matplotlib, Scikit-learn, Seaborn, etc.

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?

The master’s degree graduates are prominent professionals in their fields capable of setting economic and managerial objectives, modeling and analyzing big data with the use of standard programs and programming languages, as well as interpreting the obtained analysis results. Occupation options for program graduates: • Analyst • Business Analyst • Analytics Department Manager • Big Data Specialist • Data Science Specialist

Pass score on budget

2025
90
2024
90
2023
90

Entrance tests

Exam 1 from 3

Russian Language

Exam 2 from 3

Interdisciplinary (Qualification) Examination

Exam 3 from 3

Interview

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