Information and Communication Technologies
8.122.00.06 Information and Communication Technologies
Qualification awarded: Master in Computer Science
Entry year: 2024
Mode of study: full
Program duration: 1,5 years
Institute: Institute of Applied Mathematics and Fundamental Sciences
Number of credits: 90 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: NQF Level 7 (Second cycle of QF-EHEA / EQF Level 7)
Field(s) of study: Information technologies
Specific admission requirements: No
Specific arrangements for recognition of prior learning: Given that previous level was obtained in another country, it requires nostrification, which is done by Lviv Polytechnic.
Qualification requirements and regulations, including graduation requirements: Full accomplishment of educational and professional program and qualification thesis
Characteristics of the educational program: The educational and professional program is based on public position and results of research in the area of information technologies and is focused on the ability to build and explore complex mathematical models in fields of collecting and processing information, creation and use of modern software products.
Програмні результати навчання: 1. To have specialized conceptual knowledge that includes modern scientific achievements in the field of computer science and is the basis for original thinking and conducting research, critical understanding of problems in the field of computer science and at the border of the fields of knowledge.
2. Have specialized computer science problem-solving skills necessary for conducting research and/or carrying out innovative activities for the purpose of developing new knowledge and procedures.
3. Clearly and unambiguously communicate one's own knowledge, conclusions and arguments in the field of computer science to specialists and non-specialists, in particular to students.
4. Manage work processes in the field of information technologies, which are complex, unpredictable and require new strategic approaches.
5. To evaluate the results of the teams and collectives in the field of information technologies, to ensure the effectiveness of their activities.
6. Develop a conceptual model of an information or computer system.
7. Develop and apply mathematical methods for the analysis of information models.
8. Develop mathematical models and methods of data analysis (including big data).
9. Develop algorithmic and software for data analysis (including big data).
10. Design architectural solutions of information and computer systems for various purposes.
11. Create new algorithms for solving problems in the field of computer science, evaluate their effectiveness and limitations on their application.
12. Design and support databases and knowledge.
13. Evaluate and ensure the quality of information and computer systems for various purposes.
14. Test the software.
15. Identify the needs of potential customers regarding the automation of information processing.
16. Conduct research in the field of computer science.
17. Identify and eliminate problematic situations during software operation, formulate tasks for its modification or reengineering.
18. Collect, formalize, systematize and analyze the needs and requirements for the information or computer system being developed, operated or supported.
19. To analyze the current state and global trends in the development of computer sciences and information technologies.
20. Understand the impact of the specifics of the subject area in which information technologies are used on the specifics of data collection and the purpose of data processing.
21. Understand and take into account the specifics of data collection and its impact on the correctness of the result.
22. Apply risk assessment techniques to determine approaches to data processing and software development for specific subject areas.
23. Apply mathematical models and methods to optimize and balance the load on software that serves the information needs of industry and business.
24. Design and develop software to speed up calculations and data processing.
25. Develop computational and information systems based on heterogeneous computer networks and networks of mobile devices.
26. Implement new information systems for the development of existing business processes.
Academic mobility: None, but mobility is encouraged and acknowledged by ECTS procedures
Programme director: Assoc. prof., ph.d. Aliekseev Vladyslav Igorovych, cell +38 (068) 508-10-00, email: vladyslav.i.alieksieiev@lpnu.ua
Access to further studies: Obtaining third (educational and scientific / educational and creative) level