Artificial Intelligence and Information Systems (Bachelor’s Degree Programs)

The Artificial Intelligence and Information Systems educational program is designed to train highly qualified specialists in modern information technologies, artificial intelligence, machine learning, and software development.

Students gain strong fundamental knowledge in mathematics, algorithms, programming, and computer networks, combined with practical skills in developing web services, mobile applications, and intelligent information systems.

The program focuses on two major tracks:

Artificial Intelligence and Data Science
Full-Stack Information Systems Development

During the studies, students work with modern technologies including:

Python, Java, Kotlin, JavaScript, React, TensorFlow, PyTorch, databases, cloud services, and DevOps tools.

The program also includes practical training and cooperation with IT companies. One of the key industry partners is NIX IT Company.

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Choose the duration of study:

Standard duration of study
Accelerated duration of study

Year 1

Semester 1
Course	Credits
Image Language Competencies (Foreign Language)	3.00
Image Ukrainian Studies	3.00
Image Legal Competence (elective)	3.00
Image Higher Mathematics	5.00
Image Discrete Mathematics	5.00
Image Fundamentals of Infocommunications	5.00
Image Programming in Python	4.50

Semester 2
Course	Credits
Image Foreign Language	3.00
Image Formation of a Systemic Scientific Worldview (elective)	3.00
Image UNIX-like Operating Systems	4.00
Image Higher Mathematics	5.00
Image Physics	5.00
Image Algorithms and Data Structures	4.00
Image Programming in Python	4.50
Image Educational Practice (Training Intership)	3.00

The first year introduces students to the fundamentals of infocommunications and establishes the foundation for their future professional development. In the course “Fundamentals of Infocommunications,” students learn about modern trends in information technologies, career opportunities, and the structure of the academic program.

Courses aimed at developing soft skills also play an important role, including foreign language studies, Ukrainian studies, humanities or economics electives, and legal competence courses. These subjects help students develop communication skills, critical thinking, and academic culture.

The technical foundation of the program is built through courses in higher mathematics, discrete mathematics, and physics, which prepare students for more advanced technical disciplines. At the same time, students begin learning programming using Python, along with modern development environments, version control systems, and widely used programming libraries.

Additional courses include UNIX-like operating systems, algorithms and data structures, as well as introductory practical training that helps students strengthen their programming and problem-solving skills.

Year 2

Semester 3
Course	Credits
Image Elective Course in Social Sciences and Humanities	3.00
Image Higher Mathematics	5.00
Image Fundamentals of Networking	4.50
Image System Analysis and Mathematical Modeling of Information Systems	5.50
Image Front-end development	5.00
Image Object-Oriented Programming and Best Practices	4.50

Semester 4
Course	Credits
Image Elective Course in Economics	3.00
Image Elective Mathematical and Technical Module	5.50
Image Digital Data Processing	5.00
Image Web programming of Information Systems (Course Project)	2.00
Image Routing and Switching in Information Networks	4.50
Image Database Systems	4.50
Image Information Systems Administration	4.00
Image Introductory Intership	3.00

During the second year, students continue developing both technical and communication competencies. Courses such as “Developing a Scientific Worldview” and “Communication Skills Development” help strengthen analytical thinking and professional communication.

Technical training advances through courses in System Analysis and Mathematical Modeling of Information Systems and Digital Data Processing. Within the digital data processing course, students complete their first individual project, applying theoretical knowledge to practical tasks.

A key component of the second year is the study of object-oriented programming. Students learn programming languages such as Java and Kotlin, allowing them to work with multiple programming paradigms and develop advanced software development skills.

Students also begin studying front-end development, working with modern web technologies such as JavaScript and frameworks including React and Redux, enabling them to build modern web application interfaces.

Year 3

Semester 5
Course	Credits
Image Minor Elective Module - Course 1	5.00
Image Multimedia Data Processing	5.00
Image Multimedia Data Processing (Course Project)	1.00
Image Introduction to Machine Learning	5.00
Image Information Security in Infocommunication Systems	4.50
Image Automation and Security of Enterprise Networks	5.00
Image Human and Civil Rights	3.00

Semester 6
Course	Credits
Image Minor Elective Module - Course 2	5.00
Image Free Elective Course 1	5.50
Image Machine Learning and Data Analysis	5.50
Image Machine Learning and Data Analysis (Course Project)	2.00
Image Optimization Methods in Machine Learning	5.00
Image Back-end Development	5.50
Image Industrial Intership	3.00

During the third year, students move to advanced studies focused on two main tracks: Artificial Intelligence and Information Systems. The artificial intelligence track includes courses in multimedia data processing, machine learning, optimization methods, and deep learning. Students explore modern approaches to data analysis, pattern recognition, and predictive modeling using widely adopted tools such as TensorFlow, Keras, and PyTorch.

Programming skills remain a key priority of the program. In the course “Object-Oriented Programming and Effective Practices,” students study Java and Kotlin, enabling them to work with multiple programming paradigms, including imperative, object-oriented, and functional approaches, and to build scalable software systems.

The second track focuses on information systems and web development. Students study front-end and back-end development using Python and Go, and gain practical experience with modern database technologies such as MySQL, PostgreSQL, MongoDB, and Redis. As a result, students acquire full-stack development skills for modern information systems.

Additional courses focus on information security and data protection, ensuring that students can design reliable and secure systems. The curriculum also includes industrial internship, allowing students to gain their first professional experience in the IT industry.

Year 4

Semester 7
Course	Credits
Image Minor Elective Module - Course 3	5.00
Image Free Elective Course 2	5.50
Image Deep Learning	4.50
Image Internet of Things	4.50
Image Internet of Things (Course Project)	1.00
Image Continuous Integration and Deployment Technologies	5.50
Image IT Project Economics	2.50

Semester 8
Course	Credits
Image Minor Elective Module - Course 4	5.00
Image Free Elective Course 3	5.50
Image Mobile Application Development	4.00
Image Internet of Things	4.50
Image Internet of Things (Course Project)	1.00
Image Human Factors Engineering	2.50
Image Bachelor's Thesis (Capstone Project)	9.00

In the final year of study, students have the opportunity to shape their individual learning path. The “Minor elective block” and “Individual elective courses” allow students to choose subjects from across the university — ranging from psychology and economics to engineering, technical, and IT-related disciplines.

The curriculum also focuses on modern technologies for building intelligent and networked systems. Within the course “Internet of Things,” students learn how to integrate devices into networks and collect data from distributed systems. This direction is supported by the networking academy of Cisco Systems.

The course “Continuous Integration and Deployment Technologies for Information Systems” introduces students to modern CI/CD practices, automated testing, and software deployment. Additional courses such as “Economics of IT Projects” and “Human Factors Engineering” provide knowledge about technology management and human interaction with information systems.

The program concludes with the Bachelor’s Thesis (Project), where students design and implement their own innovative solution, applying the knowledge and practical skills gained throughout the program.

Year 2

Semester 3
Course	Credits
Image Language Competencies (Foreign Language)	3.00
Image Higher Mathematics	5.00
Image Programming in Python	4.50
Image System Analysis and Mathematical Modeling of Information Systems	5.50
Image Fundamentals of Networking	5.50
Image Front-end Development	5.00

Semester 4
Course	Credits
Image Foreign Language	3.00
Image Elective Mathematical and Technical Module	5.50
Image Python Programming	4.50
Image Digital Data Processing	5.00
Image Web Programming of Information Systems (Course Project)	2.00
Image Routing and Switching in Information Networks	4.50
Image Information Systems Administration	4.00
Image Introductory Practice	3.00

Graduates of technical schools and colleges start the program from the second year, allowing them to obtain a modern IT education more quickly. At the beginning of their studies, students are introduced to the fundamentals of infocommunications, career opportunities, and the structure of the program while shaping their individual learning path. Foreign language courses help develop essential soft skills needed for professional growth.

The academic foundation of the program includes higher mathematics, programming, and system analysis. From the first semester, students study programming in Python, modern development environments, version control systems, and widely used software libraries. Python remains the primary programming language throughout the program.

Further studies focus on data processing, information systems modeling, and web development. Within the course “Digital Data Processing,” students complete their first individual project, while “Front-end Programming” introduces modern technologies such as HTML, CSS, JavaScript, React, and Redux.

Special attention is given to networking technologies through courses from the academy of Cisco Systems. Students learn network fundamentals, routing and switching, enterprise network automation and security, and gain practical experience in information systems administration and introductory professional training.

Year 3

Semester 5
Course	Credits
Image Minor Elective Module - Course 1	5.00
Multimedia Data Processing	5.00
Multimedia Data Processing (Course Project)	1.00
Introduction to Machine Learning	5.00
Information Security in Infocommunication Systems	4.50
Automation and Security of Enterprise Networks	5.00
Human and Civil Rights	3.00

Semester 6
Course	Credits
Image Minor Elective Module - Course 2	5.00
Image Free Elective Course 1	5.50
Machine Learning and Data Analysis	5.50
Machine Learning and Data Analysis (Course Project)	2.00
Optimization Methods in Machine Learning	5.00
Back-end Development	5.50
Industrial Intership	3.00

Year 4

Semester 7
Course	Credits
Image Minor Elective Module - Course 3	5.00
Image Free Elective Course 2	5.50
Deep Learning	4.50
Image Internet of Things	4.50
Image Internet of Things (Course Project)	1.00
Continuous Integration and Deployment Technologies	5.50
IT Project Economics	2.50

Semester 8
Course	Credits
Image Minor Elective Module - Course 4	5.00
Image Free Elective Course 3	5.50
Mobile Application Development	4.00
Image Internet of Things	4.50
Image Internet of Things (Course Project)	1.00
Human Factors Engineering	2.50
Bachelor's Thesis (Capstone Project)	9.00

In the final year of study, students have the opportunity to shape their individual learning path. The “Minor elective block” and “Individual elective courses” allow students to choose subjects from across the university, ranging from psychology and economics to engineering, technical, and IT-related disciplines.

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