The European Qualifications Framework (EQF) is a translation tool that helps communication and comparison between qualifications systems in Europe. Its eight common European reference levels are described in terms of learning outcomes: knowledge, skills and competences. This allows any national qualifications systems, national qualifications frameworks (NQFs) and qualifications in Europe to relate to the EQF levels. Learners, graduates, providers and employers can use these levels to understand and compare qualifications awarded in different countries and by different education and training systems.
For more information on NQF's and their relation to the EQF click on the buttons below:
Legal documents, Studies, Documents agreed by the EQF Advisory Group and
European Qualifications Framework Series
Qualifications that are part of national qualifications framework are listed on this page. You can scroll down to find all information. Filter by Subject Field, EQF level and Location and you will find more detailed information on qualifications, and a link to the national database. The qualifications are part of national qualifications frameworks that have formally referenced to the EQF
The aim of the programme is to provide the students with academic education in the science of mathematics, giving in-depth knowledge in mathematics and in its sub-branches, and developing skills and abilities in independent scientific research activities. Within the programme theoretical knowledge, specific to the selected sub-branch of mathematics - differential equations; - have been acquired, skills and abilities in contemporary information acquisition and processing technology developed, understanding of the technological, social and naturalistic process of mathematical modelling skills improved; - skills to independently investigate differential equations and the corresponding boundary value problems, to discuss their research methodology and present the obtained results have been acquired. ...
Awarding body- University of Daugavpils
- to master an advanced knowledge of various sub-disciplines of mathematics and be able to use the acquired knowledge, freely using computers; - to have good knowledge of methods of solving various mathematical problems; - to be able to practically apply the achievements of mathematical science in the economic context (mathematical modelling, mathematical statistics) as well as in teaching mathematics on all levels; - to carry out an independent research in the selected branch of mathematics, requiring understanding of interrelations between various study courses of mathematics and practical application of mathematics and the basics of computer science, to present the results in the Master's thesis (30 credit points). ...
Awarding body- University of Latvia
Learning outcomes for study programme are formulated in accordance with (1) the state standard of second level professional higher education and (2) the relevant occupational standard. State education standard Register of occupational standards Learning outcomes: Not available ...
Awarding body- Riga Technical University