Economic analysis and statistics
Faculty of Economics
Name
Economic analysis and statistics
Program code
Qualification awarded
professional statistician
Length of programme
2 years
Number of credits
120
level of qualification according to the National Qualification Framework and the European Qualifications Framework
4
Qualification level
Second (Master)
Discipline
Social and behavioral sciences
Speciality
KnowledgeField EN
Specific admission requirements
Diploma of higher education of the first educational level
Specific arrangements for recognition of prior learning
Qualification requirements and regulations, including graduation requirements
Education in statistical and economic analysis. Mandatory scientific practice
Programme learning outcomes
PLO 1. Formulate, analyze and synthesize solutions to scientific and practical problems.
PLO 2. Develop, justify and make effective decisions on the development of socio-economic systems and management of economic entities
activities.
PLO3. Free to communicate on professional and scientific issues in state and foreign languages orally and in writing.
PLO 4. Develop socio-economic projects and a system of integrated actions for their implementation, taking into account their goals, expected socio-economic consequences, risks, legislative, resource and other constraints.
PLO 5. Adhere to the principles of academic integrity.
PLO 6. Evaluate the results of their own work, demonstrate leadership skills and ability to manage staff and work in a team.
PLO 7. To choose effective methods of management of economic activity, to substantiate the offered decisions on the basis of relevant data and scientific and applied researches.
PLO 8. Collect, process and analyze statistical data, scientific and analytical materials needed to solve complex economic problems.
PLO9. Make effective decisions under uncertain conditions and requirements that require the application of new approaches, methods and tools of socio-economic
research.
PLO 10. Apply modern information technology and specialized software in socio-economic research and management of socio-economic systems.
PLO 11. Identify and critically assess the state and trends of socio-economic development to form and analyze models of economic systems and processes.
PLO 12. Justify management decisions for the effective development of economic entities, taking into account the goals, resources, constraints and risks.
PLO 13. Assess possible risks, socio-economic consequences of management decisions.
Form of study
Full-time form
Examination regulations and grading scale
Written exams, tests and differentiated tests, tests, tests, oral examinations, defense of the report on practice, graduation thesis
Оbligatory or optional mobility windows (if applicable)
Work placement
Scientific practice
Work-based learning
Director of the course
Yaroslava
Popliuiko
Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics
Faculty of Economics
Occupational profiles of graduates
Work in any field of economic activity, in positions related to data collection, processing and analysis, evaluation of the quality of management decisions.
Access to further studies
Opportunity to study under the program of the third cycle
Subjects
As part of the curriculum, students study the following disciplines
Methodology and organization of economic research (with the basics of intellectual property)
Code: 1.1.,
Statistical observations (advanced level)
Code: 1.2,
Statistical experiments
Code: 1.4,
Software environment R
Code: 1.7,
Modern problems of economics and economic policy
Code: 1.8,
Qualifying work of the master
Code: 1.14,
International statistical standards
Code: 1.9,
Statistical methods for the implementation of data
Code: 1.10,
Statistical support of strategic decision making
Code: 1.11,
Application package analysis R studio
Code: 1.12,
Statistics (advanced level)
Code: 1.5,
Professional corporate ethics
Code: 1.6,
Statistical analysis of economic activities
Code: 1.3,
Statistical analytical systems
Code: 3.2.1.2,
System analysis
Code: 3.2.2.2,
Statistical methods in management decisions
Code: 3.2.1.3,
Graph theory in the analysis of economic processes
Code: 3.2.2.3,
Statistical update models
Code: 3.2.2.4,
Neural networks
Code: 3.2.1.5,
Actuarial statistics
Code: 3.2.2.5,
Biometric statistics
Code: 3.2.1.6,
PORTFOLIO MANAGEMENT
Code: 3.2.1.7,
Statistical tools and models of financial stability
Code: 3.2.1.8,
Statistical analysis of financial stability
Code: 3.2.2.8,
Research practice
Code: 1.13,
Static forecasting of economic cycles
Code: 3.2.1.4,