Business Informatics
Faculty of Computer Science and Cybernetics
            Name
        
        
            Business Informatics 
        
    
            Program code
        
        
            Qualification awarded
        
        
            Master of Computer Science
        
    
            Length of programme
        
        
2 years        
    
            Number of credits
        
        
            120
        
    
            level of qualification according to the National Qualification Framework and the European Qualifications Framework 
        
        
            7
        
    
            Qualification level
        
        
            Second (Master)                                   
        
    
            Discipline
        
        
            Information technologies
        
    
            Speciality
        
        
KnowledgeField EN        
    
            Specific admission requirements
        
        
Bachelor's degree
        
    
            Specific arrangements for recognition of prior learning
        
        
            
-
        
    
            Qualification requirements and regulations, including graduation requirements
        
        
            -
        
    
            Programme learning outcomes
        
        
            LO01. Identify problem situations, perform their research based on a systems approach and its principles, make an informed choice of models and methods for effective management decisions, apply models and decision-making methods in the study of business processes in organizations, forecasting enterprise development and subject area of computer science. LO02. Use models and methods of decision-making based on fuzzy set theory and in conditions of uncertainty and risk in the management process, the formulation of new innovative tasks and approaches in the implementation of business processes in various applications. LO03. Learn new tools for working with data, searching and processing information in networks for forecasting business processes and situational management, SWOP-analysis, feedback, development of information-analytical systems for business processes in technology, economic and social systems, e-commerce, media, social networks, banking, advertising, health care, etc. LO04. Be able to formulate monitoring tasks in the study of systems and analyze and effectively use large amounts of data of various natures, design data warehouses to extract new data and knowledge, visualize them, use them in business process research and responsible decision making, build and evaluate regressive models generated based on this data. LO05. Be able to analyze, assess and calculate risks taking into account corporate values and system interests, develop a risk management plan to determine the necessary preventive measures, apply actions to mitigate the consequences of risks and unforeseen events to minimize losses.     http://csc.knu.ua/media/filer_public/53/11/5311134f-9327-4d0c-ab9f-6dabb1d79c7c/mag_122bi_2018__.pdf
        
    
            Form of study
        
        
Full-time form        
    
            Examination regulations and grading scale
        
        
            In accordance with the requirements of the "Regulations on the organization of the educational process at the Taras Shevchenko National University of Kyiv".
http://nmc.univ.kiev.ua/docs/poloz_org_osv_proc-2018.pdf
        
    
            Оbligatory or optional mobility windows (if applicable)
        
        
            International credit mobility is provided through grants with foreign partner universities. The best masters of the educational program "Business Informatics" will be awarded under the international grant CPEA-LT-2016/10003 "Advanced Collaborative Program for Research Based Education on Risk Management in Industry and Services under Global Economic, Technological and Environmental Changes: Enhanced Edition" (2017 -2022) for training and internships at the Norwegian University of Science and Technology (Trondheim, Kingdom of Norway) and project partner universities.
        
    
            Work placement
        
        
            Production practice can be conducted both on the basis of the graduating department and on the basis of enterprises, organizations, research institutes, banks, insurance companies and other institutions engaged in the design, development, implementation and operation of automated information systems. The choice of practice bases is carried out in coordination with the graduating department, taking into account the tasks of practice and the possibility of their implementation. In particular, the following organizations can act as production practice bases: Samsung, GlobalLogic, Avora, EPAM, SoftServ, InfoPulse, DataArt and others.
        
    
            Work-based learning
        
        
            -
        
    
                    Director of the course
                
                
                        Volodimir
                        A
                        Zaslavsky
                    
                    
                        Mathematical Informatics 
Faculty of Computer Science and Cybernetics
                Faculty of Computer Science and Cybernetics
            Occupational profiles of graduates
        
        
            The specialist is able to perform tasks on the development of new mathematical and software for complex systems and business processes scientific and technical support. Не can work as a junior researcher, assistant professor of a higher education institution, researcher-consultant, applied systems analyst.
        
    
            Access to further studies
        
        
            Getting education under the educational program of the third (educational-scientific) level of higher education and getting additional qualifications in the adult education system.
        
    Subjects
As part of the curriculum, students study the following disciplines
                        Mathematical modeling of investment dynamics
                    
                    
                        Code: ОК.07,
                        
                    
                
                        Code: ННД.06,
                        
                    
                
                        Economic and mathematical modeling
                    
                    
                        Code: ДВВ.01.,
                        
                    
                
                        Professional and Corporate Ethics
                    
                    
                        Code: ,
                        
                    
                
                        Information Systems and Technologies
                    
                    
                        Code: ОК.14,
                        
                    
                
                        Tools for the development of information-analytical systems
                    
                    
                        Code: ,
                        
                    
                
                        Teaching mathematics and computer science in higher education
                    
                    
                        Code: ОК.10,