System Analysis

3.124.00.00 System Analysis
Qualification awarded: Master of Systems Analysis
Entry year: 2021
Mode of study: full
Program duration: 1 year 10 months
Institute: Institute of Computer Science and Information Technologies
Number of credits: 120 credits ECTS
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 technology
Specific admission requirements: Entrance examinations in specialty and foreign language.
Specific arrangements for recognition of prior learning: Given that the previous level obtained in another country requires nostrification, which is held Lviv Polytechnic.
Qualification requirements and regulations, including graduation requirements: The full implementation of the curriculum and defense of Master's Thesis.
Characteristics of the educational program: Gaining profound theoretical and practical knowledge and skills in the fields of systems analysis, knowledge and data engineering as well as decision making systems and methods which will let the students effectively fulfill innovative tasks on the corresponding levels of professional activity focused on the research into and the solution of complex problems concerning information systems development and engineering in order to meet the needs of science, business and enterprises in various branches.
Gained competence: - Specialized conceptual knowledge, which includes modern scientific achievements in the field of systems analysis and information technology and is the basis for original thinking and research - Build and research models of complex systems and processes using methods of systems analysis, mathematical, computer and information modeling - Apply methods to reveal uncertainties in the problems of systems analysis, to reveal situational uncertainties and uncertainties in the problems of interaction, counteraction and conflict of strategies, to find a compromise in revealing conceptual uncertainty - Develop and apply methods, algorithms and tools for forecasting the development of complex systems and processes of different nature - Use risk assessment measures and apply them in the analysis of multifactorial risks in complex systems - Apply methods of machine learning and data mining, mathematical apparatus of fuzzy logic, game theory and distributed artificial intelligence to solve complex problems of systems analysis - To develop intelligent systems in the conditions of poorly structured data of different nature - Identify and evaluate the parameters of mathematical models of control objects - Develop and apply models, methods and algorithms for decision-making in conflict, fuzzy information, uncertainty and risk - It is clear and unambiguous to communicate their knowledge, conclusions and arguments to professionals and non-specialists, in particular to students - Freely present and discuss orally and in writing the results of research and innovation, other issues of professional activity in the state and English languages - Apply the methodology of scenario analysis in the problems of scientific and technical prediction - Develop and teach disciplines in higher education institutions
- Plan and perform research in the field of systems analysis and / or its applications, formulate and test hypotheses, choose methods and tools, analyze the results, justify the conclusions - Carry out processing, analysis, systematization of scientific and technical information, summarize the best domestic and foreign experience in systems analysis - Develop and apply data analytics technologies to solve problems in poorly structured subject areas and solve complex problems in various fields - Know the methodologies of systems analysis and apply in practice the results of the development of applied information systems for the extraction, analysis and synthesis of data and knowledge, intelligent decision support systems - To present the results of research and innovation, to carry out public protection of the developed applied information systems of extraction, analysis and synthesis of data and knowledge, intelligent decision support systems - Ability to develop models and algorithms for forecasting complex socio-economic processes in the design of new intelligent decision-making systems using specialized software packages - Ability to effectively select a conceptual model of the environment of distributed database systems and knowledge based on structural and object-oriented approaches - Ability to be able to build mathematical models and methods of natural language processing, ontological engineering and the language of description of ontologies - Ability to create mathematical models, technologies and algorithms for research, extraction, analysis and processing of Big Data and distributed information resources - Ability to develop information products in conditions of limited resources and the need for effective business communication, possession of established contacts in the field of IT, documentation: conclusion of contracts, registration of invoices, acts in the field of IT - Ability to develop mathematical models and algorithms for pattern recognition, in-depth analysis, classification and clustering of data, identification of associations and patterns in information resources using appropriate mathematical software, using formal data representation procedures
– It unambiguously clear and communicates own knowledge, conclusions and arguments to specialists and non-specialists, in particular to those who are studying.
Academic mobility: Based on bilateral agreements between National University "Lviv Polytechnic" and the Technical University of Ukraine. Based on bilateral agreements between National University "Lviv Polytechnic" and schools partner countries
Work placement(s): Research Practice, Master’s Thesis Related Research Practice
Programme director: Ph.D., Docent of the Department of Information Systems and Networks, Dmytro Dosyn, 2582538, dmytro.g.dosyn@lpnu.ua
Occupational profiles of graduates: Work in information technology, communication and IT project management: IT-companies, finance companies, insurance companies, government agencies, consulting.
Access to further studies: Obtaining third (educational and scientific / educational and creative) level
Other program features: Emphasis on deep knowledge in the field of systems analysis and data engineering and knowledge, systems and methods of decision making, as well as on the possibility of applying them to the design of information systems.