Education program
“Computer Science (Artificial Intelligence Systems)”

120
Licensed capacity
Profession: 122 Computer Science
WHO IS AN ARTIFICIAL INTELLIGENCE EXPERT?

Artificial Intelligence (AI) is one of the most relevant fields in computer science, focused on developing systems capable of solving complex tasks for which standard solution algorithms do not exist. AI systems can analyze and process data, learn autonomously, and make decisions based on acquired knowledge.

Professionals in the AI field can have various profiles, including programmers, researchers, data analysts, machine learning engineers, natural language processing specialists, and more. They engage in the development, application, and research of AI models in different industries such as finance, banking, medicine, automotive, construction, transportation, e-commerce, natural resources, entertainment, education, marketing, law, agriculture, energy, journalism, and the environment.

To become an expert in AI, it is crucial to keep in mind that this field is constantly evolving. Therefore, staying updated on the latest trends and innovations, developing communication skills, and collaborating with other professionals are essential, as AI projects typically require teamwork.

Benefits:
The program meets the requirements of the modern market and has been updated by senior and lead industry experts.
The program’s teachers and mentors are industry experts who keep up with the latest trends in the sphere.
The opportunity for the best students to intern at leading companies of the Lviv IT Cluster.
Access to IT Studlava, a closed recruiting platform for students of the Lviv IT Cluster’s educational programs
About the program

The primary objective of the program is to train experts capable of innovating in the field of artificial intelligence, effectively applying their knowledge and skills in practical activities for scientific and business needs across various domains. The program is designed to integrate academic knowledge with essential practical skills, fostering critical thinking and a creative approach to problem-solving.

Natalia Shahovska
Chair of the Department of Artificial Intelligence Systems, Curator of the Artificial Intelligence program.
Artificial intelligence is a trend that, according to the forecasts of global analytical companies, will become a common phenomenon in everyday life by 2050. Our graduates receive comprehensive knowledge that they can apply in practice.
Terms of admission

Applications for admission are submitted in electronic form. To do this, the applicant must register on the website vstup.edbo.gov.ua. The acceptance of documents in electronic form is carried out for applicants who want to participate in the competitive selection and do not have grounds for special admission conditions, as defined by the Admission Conditions and Admission Rules to the higher education institution.

The surname, name, and patronymic of the applicant in the education document must match the surname, name, and patronymic of the applicant in the document confirming identity. For those entering based on complete general secondary education, personal data must match the information in the external independent evaluation certificate. Don’t forget to set priority 1 when submitting your application.

More details about the admission conditions to the Lviv Polytecnic National University can be found here.

Admissions Office: Lviv, Stepana Bandery Street 12; Main building of the Lviv Polytecnic National University, room 101.

Tel .: +38 (032) 258-25-37, +38 (032) 258-22-65

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120
Licensed capacity
₴52 500
Tuition fee

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Course map
Course 1
Semester 1
Foreign language
History
Algebra and Geometry
Mathematical Analysis
Discrete Mathematics
Fundamentals of Programming
Semester 2
Foreign Language
Ukrainian Language for Professional Purposes
Probability Theory and Statistics
Object-Oriented Programming
Computer Architecture and Operating Systems
Theory of Computation, Algorithms, and Data Structures
Course 2
Semester 3
Foreign Language
Numerical Methods
Information Theory
Functional Programming
Organization of Databases and Knowledge
Server-side Programming
Semester 4
Operations Research Methods
Information Security
Computer Networks and Data Transmission Protocols
Business Analysis in the Development of Information Systems
Client System Programming
Elective course
Course 3
Semester 5
Fundamentals of Artificial Intelligence
Machine Learning
Intelligent Analysis and Data Visualization
Development and Design of Information Systems
Elective course 1 – theory and practice
Elective course 2 – project
Semester 6
Philosophy and Ethics of Artificial Intelligence
Deep Learning and Neural Networks
Distributed Systems and Parallel Computing
Elective course
Elective course 3 – theory and practice
Elective course 4 – theory and practice
Course 4
Semester 7
Professional Internship
Natural Language Processing with Artificial Intelligence
Methods Image Processing with Artificial Intelligence Methods
Elective course 5 – theory and practice
Elective course 6 – theory and practice
Elective course 7 – project
Semester 8
Pre-Graduation Internship
Bachelor’s Thesis
Labor Protection in the Industry
IT Project Management
Elective course 8 – theory and practice
Elective course 9 – project
Specialization – Artificial Intelligence Systems and Machine Learning
Year 3
Data Systems and Storage Development
Environment and Components for ML Solutions
Deployment of Information Systems
Information Systems Deployment Project
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Year 4
Design of Big Data Analysis Systems
Architectural Approaches and Operational Infrastructure in Information Systems Cloud
Services for Big Data Processing
Project for Creation and Improvement of ML Infrastructure in Information System
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Specialization – Artificial Intelligence Systems and Applied Programming
Year 3
Systems and Data Storage
Environment and Components for Cross-Platform Application Development Deployment of Information Systems
Project on Deploying Information Systems for Software Applications
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Year 4
Development of Cross-Platform Applications
Cloud Services for Applied Systems and Applications
Architectural Methodologies and Architecture of Software Applications in Information Systems
Project on Creating and Improving Applied Software in Information Systems
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Specialization – Artificial Intelligence Systems and Intelligent Data Analysis
Year 3
Analytical Data Warehousing
Environment and Development Components in Data Modeling and Analysis
Data Modeling and Analysis in Information Systems
Data Analysis and Visualization Project
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Year 4
Big Data Processing and Analysis
Cloud Services for Big Data Analysis
Architectural Methods and Data Architecture in Information Systems
Project for the Creation and Improvement of the Data Analysis Module in the Information System
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Specialization – Artificial Intelligence Systems and Robotics
Year 3
Fundamentals of Robotics
Environment and Components for Developing Applied Robotic Systems
Control Theory of Robotic Objects
Project on Creating an Applied Robotic System
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Year 4
Programming Applied Robotic Systems
Industrial Robotics and the Internet of Things
Machine Learning and Integration Solutions in Robotics
Project on Applying Machine Learning in a Robotic System
Bachelor’s Thesis in the Chosen Specialization
Dual Education and Work in IT
Knowledge and skills that graduates of the program will possess:
Leading sales professionals have updated the IT Sales Management program to fully meet the market’s requirements.
Fundamental knowledge
  • Principles of building and developing information systems.
  • Programming, algorithmization, and theory of computation.
  • Information theory and data protection.
  • Deep learning, machine learning, and artificial intelligence systems.
  • Methods and means of processing language, sound, and computer vision.
  • Big data, data analytics, and statistical modeling.
Professional Skills
  • Development of artificial intelligence systems and optimization of machine learning algorithms (ML and AI).
  • Development of cloud architectures for neural networks processing sound, language, and images (Clouds & AI).
  • Lifecycle management of machine learning models (MLOps & AI).
  • Programming of robotic systems using artificial intelligence (Robotics & AI).
  • Development of applied software using artificial intelligence systems (Software Applications & AI).
  • Data handling, high-performance computing, and stream data processing (Big Data & Analytics).
Soft Skills
  • Leadership, responsibility, reliability, and work ethics
  • Communication and presentation skills
  • Creative and critical thinking
  • Analytical and systemic thinking
  • Motivation, positivity, and flexibility
  • Teamwork in IT projects
  • Team management in IT
After graduation, you can work as:
  • Data Analyst
  • Data Scientiest
  • Machine Learning Engineer
  • MLOps Engineer
  • AI Robotics Engineer
  • Business Intelligence Engineer 
  • Data Engineer
  • Big Data Engineer 
  • Front-End Engineer
  • Back-End Engineer
  • Full Stack Engineer
  • Mobile Engineer
  • Integration Engineer
  • Cloud Engineer
FEEDBACK FROM STUDENTS AND GRADUATES OF THE PROGRAM
Marta – Graduate
One significant advantage is the anonymous surveys conducted at the end of each academic semester. Students can express all their impressions and comments, to which the department’s leadership truly listens.
Yuliya – Second-year student
I really enjoy collaborating with mentors and creating my own projects. The workload is substantial, but hard work pays off.
Vitaliy – Graduate
The department prioritizes practical skills and the application of knowledge in real-life situations, rather than an overwhelming amount of theory, as is sometimes the case in other programs.
Sviatoslav – Graduate, Co-Founder of Scalamandra
Everything depends on your expectations and what you compare it to. In any case, no matter how good the department is, it won’t do anything for you on its own. Knowledge doesn’t come automatically, and work won’t find itself, etc. The department is an applied tool for the thirst for knowledge and development, an interest in the new. I had such an interest, and the department provided more than enough opportunities for its realization, the realization of a student’s potential and creativity.
Program developers
Natalia Shahovska
Chair of the Department of Artificial Intelligence Systems, Curator of the Artificial Intelligence program.
Ivan Zahorodniy
Engineering and Technology Excellence Director, Curator of the Artificial Intelligence program
Maxym Nechepyrenko
Principal Data Scientist
Vitaliy Yakovyna
Professor of the Department of Artificial Intelligence Systems, developer of the Artificial Intelligence educational program
Oleh Tomashevskyi
Engineering and Technology Competence Manager
Юрій Гуц
Principal Machine Learning Engineer, розробник освітньої програми Artificial Intelligence
Yevhen Behen
Software Engineering Technical Leader
Oksana Kohuch
Software Engineering Technical Leader
Taras Klioba
Principal Big Data Engineer
Dmytro Zikrach
Principal Data Scientist, розробник освітньої програми Artiicial Intelligence
Liubomyr Demkiv
Robotics Practice Leader
Yevhen Zasoba
CEO Somatic Ukraine
Що думають розробники про програму
Artificial intelligence is a trend that, according to the forecasts of global analytical companies, will become a common phenomenon in everyday life by 2050. Our graduates receive comprehensive knowledge that they can apply in practice.
Natalia Shahovska
Chair of the Department of Artificial Intelligence Systems, Curator of the Artificial Intelligence program.
A distinctive feature of this educational program is a balanced scope of knowledge and skills, including both fundamental aspects in the fields of physics and advanced mathematics, as well as practical applications in computer science. Students are provided with practical internships and training with elements of dual education at companies within the Lviv IT Cluster.
Ivan Zahorodniy
Engineering and Technology Excellence Director, Curator of the Artificial Intelligence program
The program is a valuable tool for learning and preparing students; it provides a powerful toolkit for developing skills and knowledge that enable the design and development of new technological solutions contributing to the advancement of industry and humanity as a whole. The future lies in innovative technologies!
Vitaliy Yakovyna
Professor of the Department of Artificial Intelligence Systems, developer of the Artificial Intelligence educational program
The program in Artificial Intelligence Systems is relevant, comprehensive, and well-structured. It helps students acquire the necessary knowledge and prepare for challenges in the field of artificial intelligence. I take pride in having the opportunity to contribute to the development of this program and provide students with valuable educational experience. Additionally, the educational program is aimed at developing critical thinking and analytical skills in students. It stimulates students to explore new technologies and solve complex problems, which are key competencies for a successful career in the field of artificial intelligence.
Oleh Tomashevskyi
Engineering and Technology Competence Manager
The demand for tech specialists in Ukraine is challenging to overestimate, especially considering the development of the artificial intelligence field. Currently, AI is one of the directions heavily invested in by leaders of technology companies worldwide. Graduates from the AI department will never have difficulties finding employment.
Yevhen Behen
Software Engineering Technical Leader
Combining the expertise of Lviv Polytechnic with tech companies has led to the development of the Artificial Intelligence program, bridging the gap between our educational institutions and industry collaboration. The program aims to enhance technical knowledge through collaborative projects, providing valuable experience with various IT technologies.
Oksana Kohuch
Software Engineering Technical Leader
I want to emphasize the high relevance and quality of this educational program. It is indeed a valuable resource for students looking to deepen their knowledge in the field of artificial intelligence and big data analysis. As the developer of the program, I am pleased to note its completeness and structure, as the program follows a clear logical sequence of topics, helping students systematize their acquired knowledge and gain practical experience through project implementation.
Taras Klioba
Principal Big Data Engineer
Artificial intelligence not only unveils technological progress but also presents tremendous potential for the development of robotics. It contributes to the creation of intelligent systems that not only automate processes but also expand the capabilities of modern robots, leading us to new levels of productivity and efficiency. The key component for the successful implementation of these technologies is education, which shapes not only technical skills but also creative thinking and the ability to adapt to a rapidly changing world, thereby shaping the future of our country.
Liubomyr Demkiv
Robotics Practice Leader
Artificial intelligence is the brain, and robotics is the body. Together, they can change the world.
Yevhen Zasoba
CEO Somatic Ukraine

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