09.04.01 Informatics and Computation

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.

• 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.

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.

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.