09.04.01 Informatics and Computation

181_1
250000,00
р.
Intelligent Automated Systems Technologies

Qualification: Master's Degree

Code of a programme: 09.04.01

Field of study: Informatics and Computation

Location: Taganrog

SFedU Institute: Institute of Computer Technology and Information Security

Language: Russian

Tuition fee - based: 20

Duration of full-time mode: 2 years

Tuition fee per year (in rubles, 2026): 250 000

Basic subjects
Specialized subjects
Program Overview
Program Benefits
Prospects. Career & Employment
Why is it important to pursue a higher education?

Basic subjects

  • Methodology of scientific activity
  • Big Data Technologies
  • Cloud and GRID computing in intelligent automated computing
  • Mathematical and algorithmic foundations of building intelligent systems

Specialized subjects

  • Hardware of intelligent automated systems
  • Machine learning and data analysis
  • Databases and intelligent information systems
  • Computer vision and machine learning

Program Overview

Studying for a Master's degree in artificial intelligence involves studying various aspects of this rapidly developing field. The program includes the following topics: Mathematical foundations of artificial intelligence: the study of the basics of probability theory, statistics, optimization and linear algebra, which are key tools for the development of artificial intelligence systems. Fundamentals of Machine Learning: The study of machine learning algorithms such as classification, regression, clustering and reinforcement learning, and their application to solve various tasks. Neural networks and deep learning: the study of the architecture of neural networks such as perceptrons, convolutional and recurrent neural networks, as well as methods of their training and application to solve complex problems such as speech and image recognition. Natural language processing: The study of natural language processing techniques such as text analysis, information extraction and machine translation, as well as the development of systems capable of understanding and generating human speech. Computer vision: The study of algorithms and techniques that enable computers to extract information from images and videos, including tasks such as object recognition, tracking, and motion detection. The applications of the Python, Java, C++, and JavaScript programming languages for solving problems in the field of artificial intelligence will be considered.

Program Benefits

  • Using AI
You will study the most advanced artificial intelligence technologies: machine learning, deep learning, natural language processing, computer vision, and more.
  • Skills in demand in the market
Graduates are in demand in various fields, from IT and robotics to medicine and finance.
Interdisciplinary approach
The program combines mathematics, programming, statistics and engineering. You will get a complete picture, not individual pieces.
  • Continuous development and innovation
Artificial intelligence is changing very fast. Here you will always be aware of the latest trends and will be able to participate in the creation of new technologies.
  • Experience working in a team
Most of the training takes place through team projects and research. You will learn how to work in a team and make decisions together with others.
  • Developing critical thinking
You will develop critical thinking and the ability to analyze data deeply.

Prospects. Career & Employment

Graduates of the program can work in different fields:
  • IT companies
Software development, databases, data analysis and processing.
  • Robotics
Creation of robots, automated systems, and control algorithms.
  • Medicine
New diagnostic methods, medical devices and systems.
  • Finance
Market analysis, stock price and currency forecasting.
  • Education
Development of training programs and performance analysis.
  • Production
Process optimization and product quality improvement.
  • Transport
Flow management, route optimization.
  • Retail
Customer behavior analysis, assortment optimization and marketing.

Why is it important to pursue a higher education?

The purpose of the Master's degree program is to train specialists with deep knowledge and skills in the field of artificial intelligence, machine learning and related fields, capable of solving complex problems and developing innovative solutions.
The program includes the following topics:
  • Mathematical foundations of artificial intelligence (probability theory, statistics, optimization, linear algebra).
  • Fundamentals of machine learning: classification, regression, clustering, reinforcement learning and their practical application.
  • Neural networks and deep learning: how different network architectures work and how to train them for speech and image recognition.
  • Natural language processing: text analysis, information extraction, machine translation, systems that understand and generate human speech.
  • Computer vision: how computers "see" images and videos, recognize objects, and track movement.
  • Programming languages that you will use: Python, Java, C++, JavaScript.