Information Systems
Faculty of information Technology
Name
Information Systems
Program code
21442
Qualification awarded
Master 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
First cycle of higher education (NQF Level 6) or higher
Specific arrangements for recognition of prior learning
Admission was based on the results of the Common Entrance Examination of a foreign language, a Specialty Exam, and an Additional Entrance Examination for persons who have obtained a Bachelor's degree in another specialty. In accordance with the Rules of admission in 2019.
Qualification requirements and regulations, including graduation requirements
Programme learning outcomes
PLO 1 - Apply analytical research, identify patterns and relationships between factors.
PLO 2 - Use the search for documentary and factual information, collect and formalize information for decision support systems, systematize and summarize data, identify key points.
PLO 3 - Apply the basic concepts, relationships and nature of information flows and use artificial intelligence systems to extract patterns from the data.
PLO 4 - To determine the characteristics of problem situations, to model problem situations, to choose ways, methods and ways of their settlement on the basis of processing of considerable volumes of information.
PLO 5 - Apply search and regulatory forecasting; to predict the development of situations of poorly formalized tasks; use expert systems for forecasting, diagnosing and monitoring situations; use information-analytical products of news agencies and methods of data mining for forecasting purposes.
PLO 6 - Analyze the consequences of information wars and use methods of protection; to detect negative content in media information messages, to apply methods of information space protection.
PLO 7 - Choose hardware and software components for the implementation of a modern information system, develop the architecture of a modern information system for information analytics and impacts.
PLO 8 - Identify patterns in large data sets using software packages Data Mining and Text Mining.
PLO 9 - Model and analyze the development of social and production systems, identify the main patterns, trends, the relationship between the main components of the use of information technology forecasting and analytical activities.
PLO 10 - Carry out a formalized analysis of textual information, identify latent motives, new data from information flows by methods of automatic text analysis.
PLO 11 - Create software modules for the implementation of comprehensive research in programming languages for statistical calculations, analysis and presentation of data or using ready-made codes of free software programs for information analysis and implementation of information influences.
Form of study
Full-time form
Examination regulations and grading scale
The final evaluation of learning outcomes at the University is carried out on a single 100-point scale. The assessment of the applicant corresponds to the ratio established of the level of professional and general competencies to the planned learning outcomes (as a percentage). The minimum positive level of assessment is 60 points. According to the results of exams, according to the results of course and diploma works (projects); based on the results of work in practice, the student is also graded on a 4-point scale: “Excellent”, “Good”, “Satisfactory”, “Unsatisfactory”. If the final exam is not conducted in the disciplines, the results of the applicant’s work are evaluated on a 2-point scale: “Passed” or “Fail”.
Оbligatory or optional mobility windows (if applicable)
Work placement
Work-based learning
Director of the course
Department of Management Technologies
Faculty of information Technology
Faculty of information Technology
Occupational profiles of graduates
Consolidated Information Analyst
Work in the field of information’s activity «Research and development in the field of natural sciences and engineering»
Access to further studies
Access to programmes of the Third Cycle of Higher Education. Has the right to acquire additional qualifications in the adult education system.
Subjects
As part of the curriculum, students study the following disciplines
Code: ОК 1,
Modern database systems (Project 1)
Code: ОК 1,
Code: ОК 2,
Code: ОК 3,
OPTIMIZATION OF INFORMATION COMMUNICATION NETWORKS
Code: ОК 3,
Code: ОК 4,
Project management
Code: ОК 5,
Information theory
Code: ОК 6,
Code: ОК 7,
Code: ОК 8 ,
Architecture of information systems (Project 2)
Code: ОК 9,
Cryptography and information security
Code: ОК 10,
Programming real-time systems
Code: ОК 11,
Methodologies of teaching specialized disciplines in information technology in higher education
Code: ОК 12,
Code: ОК 13,
Master's Thesis
Code: ОК 14,
Code: ВБ 1.1.,
Code: ВБ 1.2,
Code: ВБ 1.3,
Code: ВБ 2.1,
Code: ВБ 2.2,
Code: ВБ 2.3,
Computer graphics and image processing
Code: ВБ 3.1,
Computer 3D Graphics
Code: ВБ 3.2,
Design patterns
Code: ВБ 3.3,
Code: ВБ 4.1.А,
Code: ВБ 4.1.Б,
/ Data repositories
Code: ВБ 4.2.А,
Code: ВБ 4.2.Б,
Code: ВБ 4.3.А,
Code: ВБ 4.3.Б,
Artificial Intelligence
Code: ВБ 4.4.А,
Code: ВБ 4.4.Б,
Code: ВБ 4.5.А,
Fundamentals of business analytics
Code: ВБ 4.5.Б,
Code: ВБ 4.6.А,
Code: ВБ 4.6.Б,
scientific research practice
Code: ОК 16,