The program is dedicated to training specialists in data science. You will learn how to process large amounts of data, build an infrastructure for working with data in a company as well as create software products focused on data processing and machine learning tools.
Within the framework of this fundamental annual course, students acquire not only programming skills in one of the most popular languages, but also obtain knowledge about key data structures and algorithms.
In this two-year course, students receive the skills of independent programming and problem solving from the simplest ones in the first semester to complex group projects in the fourth.
There are no lectures involved, only coding practice under the guidance of an experienced professional mentor.
In this subject, students study how operating systems function and obtain practical skills in using and administering Linux and developing network applications in Python.
In terms of content, the discipline considers the classification of DBMS by their functional purpose, concepts of relational and object-oriented databases, and new methodologies for building non-relational databases (NoSQL).
To work with data, you need to know their formats, structure, and basic tools for working with data in different forms. In this course, students learn to work with the most common data formats, study the means of parsing, processing, and cleaning data.
Students will get an understanding of data management based on the concepts of information ecology, as part of the basic processes occurring in data storage and processing systems with a demonstration of the basic ideas of data processing system architectures and DBMS.
In this subject, students will learn about different types of DBMS in practice, which differ from traditional relational ones using the SQL language.
As part of this course, students will study the technologies and basic concepts of industrial data warehouses as well as learn about the life cycle of projects of subject-oriented information databases developed for the purpose of decision-making in organizations.
This course will teach you how to use the most common tools for data analysis and machine learning. Upon mastering this course, you will learn how to apply classical regression and classification models, write codes for training and testing models, and conduct projects in the field of building intelligent systems.
Our graduates work in organizations as data specialists, storage and database architects, data analysts, IT specialists, database administrators or system administrators. Data engineering technologies have become basic for information systems in general, so you can work in any field where information technologies are applied, from financial institutions to agricultural companies. The professional activity of graduates is connected with the full life cycle of data use, the development of computer software, and consulting activities in the field of databases.
