European Qualifications Framework (EQF) has 8 levels (1 – the lowest, 8 – the highest).
Levels reflect the complexity level of acquired knowledge, skills and competences (learning outcomes).
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Information about the Latvian qualifications referenced to Latvian qualifications framework (LQF)
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5
1. of The KNOWLEDGE at the level of notion:
1.1. European Union Convention on personal data protection;
1.2. local and international economic environment, market development trends and perspectives;
1.3. international financial and securities markets;
1.4. Latvian and international legal provisions related to the work in the profession.
2. The KNOWLEDGE at the level of understanding of:
2.1. economy development;
2.2. statistical theories;
2.3. professional terminology in the official language and at least two foreign languages;
2.4. insurance markets;
2.5. macroeconomics, microeconomics and accountancy theories;
2.6. statistical indicator analysis of macroeconomics and microeconomics, finance, demography, public health etc.;
2.7. consumer rights protection;
2.8. laws and regulations in the field of statistics, physical person data protection and business.
3. The KNOWLEDGE at the level of use:
3.1. mathematical statistics;
3.2. probability theory;
3.3. time series analysis;
3.4. optimization methods;
3.5. mathematical analysis;
3.6. sample surveys;
3.7. development of survey instruments;
3.8. random processes;
3.9. computer programs, application thereof;
3.10. securities portfolios;
3.11. econometrics;
3.12. queuing models;
3.13. creation of mathematical models;
3.14. linear programming;
3.15. information technologies;
3.16. presentation creation and delivery;
3.17. office equipment and application possibilities thereof;
3.18. research methodology;
3.19. official language;
3.20. two foreign languages at the communication level;
3.21. project development, management and implementation;
3.22. principles of the professional and general ethics;
3.23. labor protection;
3.24. environmental protection;
3.25. legal employment relationship.
1. To have good knowledge and observe the laws and regulations of the Republic of Latvia in the field of statistics, data protection of physical persons and business.
2. To understand the structure and activity of the company, orientate in the main statistical models and methods used in the company.
3. To formulate statistical problems and statement of the task mathematically.
4. To develop mathematical and statistical models for the needs of the company.
5. To get high quality statistical data from different sources of information.
6. To work with different information outline types (network websites, prints, presentations, brochures, annual books etc.).
7. To develop questionnaires or other survey tools to maintain information.
8. To plan and perform sample surveys.
9. To perform data processing by using specific mathematical and statistical software application packages.
10. To perform analysis by using multidimensional analysis methods.
11. To analyse and predict Latvian and international finance market trends, make a security analysis and portfolio management.
12. To develop and analyse input-output tables.
13. To develop and analyse payment balance.
14. To interpret statistical results clearly and to represent demonstratively.
15. To apply logical conclusion-making methods.
16. To perform scientific and research work and consult regarding implementation of the the research results in practice.
17. To prepare presentations and speak about professional issues at conferences, seminars, meetings.
18. To know how to draw up business documents.
19. To know the official language.
20. To know at least two foreign languages at the communication level.
21. To use professional terminology in the official language and at least one foreign language.
22. To use and process data bases containing statistical information.
23. To use modern information acquisition, processing and systematization technologies.
24. To acquire modern information technologies and use them in practice.
25. To observe information protection and confidentiality.
26. To develop, lead and perform projects related to the field of mathematical statistics.
27. To observe the standards of the legal employment relationship.
28. To observe the requirements of the labor protection, fire safety and environmental protection laws and regulations.
29. To use computer hardware and office equipment.
30. To observe the usage instructions of the office equipment.
31. To plan and organize the own work.
32. To perform work individually and in a team.
33. To use communication skills.
34. To acquire new knowledge independently, improve the own professional competence.
35. To observe the principles of professional and general ethics.
36. To keep the professional neutrality and objectivity of a statistician by explaining the importance of statistical data and results objectively, professionally and transparently, complying scientific independence and treating all other users equally.
1. Ability to perform work tasks in high quality by complying with the requirements of the laws and regulations.
2. Ability to understand the structure and activity of the company, orientate in the main statistical models and methods used in the company.
3. Ability to get, test and evaluate the information and data necessary for work task performance, plan statistical experiments scientifically.
4. Ability to analyse and evaluate economical and business environment within mathematical statistics methods, as well as perform scientifically proven prognoses regarding its development trends in the world, Latvia and regions.
5. Ability to analyse and predict financial market trends, perform security analysis and portfolio management.
6. Ability to evaluate the possible scenario of various stochastic processes, mutual influence, correlation and addictions.
7. Ability to collect data by using information technologies plan, control and correct activities.
8. Ability to perform researches with scientific value in the mathematical statistics field and present the maintained results.
9. Ability to make analysis by using multidimensional analysis methods.
10. Ability to plan, organize sample surveys and analyse their results.
11. Ability to perform methodology development, application and improvement works in time series modeling and forecasting.
12. Ability to perform data processing by using specific mathematical and statistical software packages.
13. Ability to maintain and improve the company databases containing general statistical information independently.
14. Ability to cooperate and develop modifications and improvements for current statistical methods.
15. Ability to communicate with customers orally, in business conversation, electronically, via telephone by observing the basic principles of professional and general ethics.
16. Ability to explain the maintained statistical results clearly, represent them demonstratively to make them understandable and available for the persons who seek advice.
17. Ability to use applications, technics and electronical communication tools properly to maintain high quality and independent professional activity.
18. Ability to design and develop scientifically new methods or their uses in mathematical statistics for the purpose of practical objectives.
19. Ability to plan and organize the own work and workplace by working independently and in a team to perform work tasks precisely and creatively.
20. Ability to perform, lead and implement projects related to the field of mathematical statistics.
21. Ability to communicate in the official language and at least two foreign languages.
22. Ability take responsibility for the own professional activity results.
23. Ability to observe the requirements of the labour protection, fire safety and environmental protection laws and regulations.
24. Ability to observe the standards of the legal employment relationship.
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5
Mathematics and statistics (054)
Detailed field: (ISCED 2013)Statistics (0542)
EducationHigher education
Qualification typeVocational
Full or partialFull qualification
Other information
Active qualification
Period for issuing qualification: 2013-2023
Last changes: 06.09.2021
Posted: 07.05.2016