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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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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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  1. Master of Science in Digital Humanities

    1. Possess the required competencies in digitalization techniques and tools to be able to successfully conduct research and successfully act as a professional in Digital Humanities. 2. Possess advanced knowledge and understanding of the relevance and applicability of digital tools and techniques for research questions in the Humanities or the Behavioral Sciences. 3. Have the ability to independently analyze, model and design solutions for problems involving the integration of digitalization in the Humanities or Behavioral Sciences research and to critically interpret the results of digital analysis and computationally produced out-comes. 4. Are able to critically evaluate and assess novel problems in and solutions to digitalization issues in the Humanities or Behavioral Sciences context and situate the limitation of the state of the art. 5. Are able to independently select appropriate technological means and constructively apply them to a problem in the Humanities or Behavioral Sciences. 6. Are able to independently collect, consult and critically interpret scientific sources from different media. 7. Have the ability to independently integrate digitally driven research goals and methods with discipline specific inquiry in a subfield of the Humanities or Behavioral Sciences. 8. Are able to clearly and accurately report on scientific findings in the Digital Humanities, both in written and in oral form. 9. Are able to follow-up and critically situate, within a sub domain of Digital Humanities, new scientific devel ...

    Category: Qualifications Location: Belgium, Flemish Community
  2. 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
  3. 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