122«Computer Science and Intelligent Systems»

The educational program provides training in the development of information technology for the management of complex systems and processes for various purposes on the basis of artificial intelligence. The curricula are based on the experience of leading European and American universities, as well as the needs of IT companies and information and analytical departments of enterprises and organizations.

Graduate qualification: Bachelor of Computer Science

Features of the educational program
The educational program is focused on the training of specialists in the field of computer science and intelligent systems. The main focus of the educational program is the study of computer mathematics and intelligent systems, information technology and foreign language for IT professionals. The program is focused on partnerships with domestic and foreign educational institutions, the private sector, scientists and practitioners, participation in international programs. Training is carried out with the use of innovative pedagogical technologies, in particular – the project approach in the training laboratory “Innovation Campus” of SEMIT Department of NTU “KhPI”, where students can master practical skills of software development and testing, as well as develop “soft skills” needed by modern a specialist in computer science and intelligent systems to work in IT companies and IT departments. The educational program provides internships in IT companies and student participation in real projects, the opportunity to study in English.

Partner companies
Partner universities
Erasmus+ programs


1) Questionnaire for students
2) Questionnaire for Lecturers
3) Questionnaire for discussion (applicants, graduates, research and teaching staff, representatives of the IT industry).
Your suggestions, recommendations, or wishes for improving the quality of the educational program can also be sent to the guarantor of the EP at Andrii.Kopp@khpi.edu.ua.

Results of public discussions
Updates on educational programs

The goal of the educational program
Training of specialists capable of conducting theoretical and experimental research in the field of computer science and intelligent management systems; applying mathematical methods and algorithmic principles in modeling, design, development and maintenance of information management technologies; developing, implementing and maintaining intelligent systems for analysis and data processing of organizational, technical, natural and socio-economic systems.

Employment opportunities

In the leading IT companies (NIX Solutions, Telesens, EPAM, SoftServe, Global Logic, Sigma Software, INSART, Academy SMART, Kharkiv IT Cluster) in the following positions:

• Business Analyst;
• Data analysts (Data Analyst, Data Scientist);
• Software System Architects (Software/System Architect, System Analyst);
• Software Engineers;
• Specialists in the creation of intelligent systems (Machine Learning Engineer, Business Intelligence Engineer);
• Software Quality Assurance specialists (QA Engineer);
• Project Management Specialists.

In the information and analytical departments of enterprises and organizations as specialists in software development, implementation and maintenance, including intelligent management systems, in the positions of software engineers, heads of IT departments and others.

Reviews by partners

POEP 2022
122_CS&IS_Bachelor_EducationalProgramme (4)

Curriculum 2022


Mandatory educational components

Work programs of academic disciplines (WPAD)

Educational and methodical complexes of disciplines (EMCD)

Comprehensive Program of Practical Training

Selective Educational Components (Profiled Sets) Brief description:

The procedure for choosing disciplines and the possibility of forming an individual educational trajectory are regulated by the relevant documents

The profiled set of disciplines “Research and Development” includes educational components that provide in-depth study:

  • basic theoretical and practical provisions of building probabilistic models;
  • modern information technologies, methodological and practical foundations of knowledge representation;
  • fuzzy logic and fuzzy systems for decision making under uncertainty;
  • theoretical and practical foundations of machine learning (Machine Learning);
  • approaches to planning computational experiments using probabilistic and statistical methods;
  • technologies of modeling intelligent systems for solving problems of automated management of business processes.

The profiled set of disciplines “Software Development and Startup” includes educational components that provide in-depth study:

  • concepts and methodologies of Internet marketing, features of the virtual environment in relation to marketing research, products, pricing, distribution and communications on the Internet;
  • business modeling methodology based on the guidelines and approaches of modern information technology;
  • methods and information technologies for collecting data from various sources and preparing analytical reports necessary for the organization and operation of the business;
  • methods, procedures and technologies of business planning;
  • software prototyping, features of scenario development and building interactive prototypes for demonstration to future users;
  • the essence of entrepreneurship, its types, types, properties and functions.

The profiled set of disciplines “Innovation Campus” includes educational components that provide in-depth study:

  • development of information systems to ensure the work of large enterprises, corporations and other business structures;
  • development of databases for solving problems of data storage and processing in the work of large enterprises, corporations and other business structures;
  • development of software architecture for large enterprises, corporations and other business structures;
  • designing web applications in accordance with the specified requirements with the use of effective technologies for the implementation of software systems;
  • basic principles of formation and development of IT-project teams.

Previous educational programs and curricula

EPP 2017
Curriculum 2017
EPP 2019
Curriculum 2019
EPP 2021
Curriculum 2021