Overview

Artificial Intelligence Technologies is a Bachelor’s degree programme designed for students who want to build strong academic and professional foundations in artificial intelligence, machine learning, data analysis, and intelligent systems development. The programme combines theoretical knowledge with intensive hands-on learning and project-based training.Students gain a systematic understanding of the full lifecycle of intelligent solution development. They learn how to analyze application domains, formulate technical problems, design AI-based systems, develop and test software components, and deploy intelligent solutions in practice. The curriculum also focuses on knowledge representation, data-driven decision-making, and the architecture of intelligent information systems.

A distinctive feature of the programme is its practical orientation. Students work with modern AI tools and technologies, participate in team-based projects, and solve applied and research tasks relevant to business, industry, and the digital economy. This enables them to develop both strong engineering skills and a professional portfolio during their studies.

Key Advantages of the Programme:

— Comprehensive training in artificial intelligence, machine learning, data analytics, and intelligent systems design

— A strong theoretical foundation combined with intensive hands-on learning guided by faculty, researchers, and industry professionals

— Experience with modern AI tools and technologies that are in demand on both Russian and international job markets

— Participation in real-world applied and research projects, enabling students to build a professional portfolio during their studies

— Development of engineering thinking and the ability to design intelligent solutions that transform business, industry, and the digital economy

Core Courses

• Programming for Artificial Intelligence and Data Processing (Python, C/C++, Java)

• Higher Mathematics and Mathematical Foundations of Data Analysis

• Optimization Methods

• Databases and Data Storage Technologies

• Architecture and Design of Information Systems

Specialized Courses

• Machine Learning and Deep Learning

• Artificial Intelligence Algorithms and Models

• Knowledge Representation and Intelligent Systems

• Data Mining and Big Data Technologies

• Data-Driven Decision Making

• Architecture and Design of Intelligent Information Systems

Programme Structure

The curriculum of the programme combines a strong foundation in computer science, mathematics, and software engineering with advanced, specialized training in artificial intelligence. This integrated approach enables students to develop both fundamental theoretical knowledge and practical skills required for designing and implementing intelligent systems.Core courses are aimed at building essential competencies in programming, mathematical modeling, and information systems design. Students study programming for artificial intelligence and data processing using Python, C/C++, and Java, as well as higher mathematics and the mathematical foundations of data analysis. The curriculum also includes optimization methods, databases and data storage technologies, and the architecture and design of information systems.

Audience

The programme is designed for applicants interested in artificial intelligence, machine learning, data analysis, and software engineering. It is suitable for motivated students who want to combine solid theoretical foundation with practical project-based experience and who plan to build careers in the IT industry, R&D, or AI-driven business sectors.

Lecturers

The programme is delivered by experienced professors, researchers, and industry professionals. Among them are Vadim Sakharov, CEO of Neurotech, and Evgeny Pyatopal, CEO of IBS Dunice. The academic team also includes Professors Nikolay Sergeev, Eduard Melnik, Yury Borodyansky, and Sergey Tretyakov, Chair of the State Examination Board and First Category Software Engineer at the Kalugapribor enterprise.

Key information

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.

Language

English

Delivered

On Campus

Campus Location

Taganrog, Russia

Disciplines

Artificial Intelligence Machine Learning Data Analytics

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Applicants are expected to have completed secondary general education or an equivalent qualification required for admission to a Bachelor’s degree programme in the Russian Federation.

Technological requirements

Applicants are expected to have access to a computer for submitting their application. During the programme, students should also have regular access to a computer suitable for programming, data processing, and project work. Basic digital literacy is essential, as the programme involves the use of development tools, version control systems, and modern AI frameworks.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

Domestic Applies to you

Applies to you

Citizens or residents

250000 RUB / year

≈ 250000 RUB / year

Additional Details

250 000 rubles per year

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for 09.03.01 Computer Science and Engineering (Artificial Intelligence Technologies).

Available Scholarships

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