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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.

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European Qualifications Framework Series 

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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

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Search found 4 items
  1. Professional Master Degree in Sociotechnical System Modeling (ViA)

    Interdisciplinary and engineering knowledge mostly in information and communication technologies, active research methods as simulation and knowledge management technologies application skills, and knowledge about human factor role in sociotechnical systems designing and maintenance which can be used in various branches of national economy in the framework of existing profession. ...

    Awarding bodyVidzeme University College

    Category: Qualifications Location: Latvia
  2. Master of Science (Engineering) in Digital Humanities (RTU)

    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

    Category: Qualifications Location: Latvia
  3. Erasmus Mundus Master of Science in Theoretical Chemistry and Computational Modelling

    1. Having a general knowledge and understanding of theoretical chemistry and its applications in chemistry and chemistry related disciplines such as biochemistry, material science and physical chemistry. 2. Having advanced knowledge of a specialized branch of theoretical chemistry and insight into its applications 3. Having a general scientific attitude to critically asses, analyze and develop problem solving steps for well-defined problems in relation to theoretical chemistry and its applications. 4. Having experience in data acquisition and literature surveys. 5. Having knowledge of and experience with the computational and mathematical techniques of theoretical chemistry. 6. Being prepared to work as an expert in the use and development of computational techniques in molecular sciences, to work with innovative pharmaceutical, petrochemical and new-materials industries. 7. Being prepared for doctoral research studies in chemistry, physics, life or material sciences. ...

    Category: Qualifications Location: Belgium, Flemish Community
  4. Master of Science in de Bio-informatics

    1. Een brede kennis bezitten van de principes van de genetica, van de biochemie en de moleculaire en cellulaire biologie die aan de basis liggen van de modelsystemen, van de experimentele technieken en van het genereren van gegevens die geanalyseerd en gemodelleerd worden in de bio-informatica. 2. Een brede kennis bezitten van de wiskundige basisdisciplines (lineaire algebra, calculus, dynamische systemen) die aan de basis liggen van het mathematische en statistische modelleren in de bio-informatica. 3. De concepten en technieken van de informatietechnologie beheersen (database management, structuur en objectgericht programmeren, semantische webtechnologie) voor het beheer en de analyse van grote hoeveelheden complexe en gedistribueerde biologische en biomedische gegevens. 4. De concepten en technieken van automatisch leren en van frequentistische en Bayesiaanse statistiek beheersen die gebruikt worden om complexe “omics” gegevens te analyseren en te modelleren. 5. Kennis verworven hebben van de belangrijkste methoden van de computationele biologie (zoals sequentie-analyse, phylogenetische analyse, kwantitatieve genetica, proteïne modellering, microroosteranalyse). 6. Over gevorderde interdisciplinaire vaardigheden beschikken om te communiceren met experten in de levenswetenschappen, toegepaste wiskunde, statistiek en computerwetenschappen om complexe biologische problemen te formaliseren in aangepaste gegevensbeheer- en gegevensanalysestrategieën. 7. In samenwerking met deze experten complexe “omics” experimen ...

    Category: Qualifications Location: Belgium, Flemish Community