6B06112 Data science
The structure of the educational program.
  • Gaining students a good mathematical training.
  • Formation of competencies in various fields of programming and modern applied mathematics and computer science, such as data analysis and machine learning.
  • Design and software development.
  • Gaining professional skills in working with big data and building analytical models for the financial sector of the economy.
  • Learning to work in an English-speaking environment, adaptation to the international education system.
Specialized disciplines
  • Data Science: Introduction
  • Machine learning
  • Introduction to Python (Introduction to Python)
  • 3D Modeling and Design
  • Python for Data Analytics
  • Operation research (linear tasks)
  • Data Science: Advanced
  • Introduction to Deep Learning
  • Nonlinear extremal problems
  • Actual problems of linear and nonlinear systems
Basic competency
  • Ability to create mathematical models using methods of modern information technologies;
  • The ability to analyze the information received;
  • Ability to develop new algorithms;
  • Ability to develop optimization methods and control algorithms;
  • The ability to process large amounts of information;
  • The ability to conduct multivariate analysis, the ability to extract the necessary information from a wide variety of sources, using information flows in real time;
  • Ability to see a logical connection in the system of information collected; possession of advanced analytical tools.
Leading position
  • developer and analyst in the IT departments of companies;
  • database development and maintenance specialist;
  • visual report developer;
  • Big Data Analyst
  • IT consulting and others.