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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 28 items
  1. Master of Science in de statistiek

    Graduates 1. Have advanced knowledge of and insight into a wide range of statistical techniques, their interrelations, and their application. 2. Can act as a statistical expert and effectively collaborate in a team with subject-matter scientists and/or practitioners in the area of the chosen specialization. 3. Can properly handle quantitative scientific research questions, independently, effectively and creatively, using proper design and analysis methodology. 4. Are able to contribute to statistical and/or substantive scientific research, in the area of the chosen specialization. 5. Can critically appraise the statistical process, from design, over data collecting process, data quality, and data analysis to reporting. 6. Are able to select and use a suitable analysis technique (i.e. sufficiently robust, efficient, practically feasible, etc.) as well as an appropriate software tool, interpret the ensuing results, assess and quantify uncertainty and formulate an evidence based answer for a specific problem arising within a given area of specialization. 7. Are capable of independently and systematically acquiring new knowledge through critically consulting appropriate sources in the international statistical and scientific literature and/or through professional networks. 8. Are effective written and oral communicators, as well as negotiators, both towards an audience of statistical experts as well as subject-matter experts. 9. Can act as a responsible statistician in collaboration with other statistical and/or su ...

    Category: Qualifications Location: Belgium, Flemish Community
  2. Master of Science in de wiskunde

    – Geavanceerde kennis hebben van en inzicht hebben in complexe wiskundige theorieën, modellen, methoden en technieken. – Verdiepende kennis en inzicht hebben in minstens één deelgebied van de wiskunde. – Complexe wiskundige redeneringen kritisch verwerken. Hiermee creatief logische en analytische redeneringen opbouwen. – Zelfstandig complexe wiskundige of wetenschappelijke problemen analyseren, modelleren en oplossingen ontwerpen. Bestaande resultaten en oplossingsmethoden kritisch interpreteren en waar nodig aanpassen. – Wetenschappelijke probleemstellingen of oplossingsstrategieën kritisch evalueren en de intrinsieke onzekerheden en beperkingen plaatsen. – Bij de wiskunde aansluitende gepaste technologische hulpmiddelen zelfstandig selecteren en ze constructief gebruiken. – Zelfstandig wetenschappelijke (zeker ook Engelstalige) bronnen opzoeken, raadplegen en kritisch verwerken. – Zelfstandig wetenschappelijk wiskunde-onderzoek plannen en uitvoeren op het niveau van een beginnend onderzoeker. – Complexe wiskundige resultaten en conclusies kaderen, interpreteren en beargumenteren. Hierover helder en accuraat schriftelijk rapporteren. Zowel voor een gespecialiseerd als breder publiek een presentatie verzorgen. – In staat zijn wetenschappelijke ontwikkelingen, in de gekozen specialisatie, op te volgen en kritisch te situeren in het bredere kader van de discipline; de relevantie ervan voor de bredere maatschappelijke context desgevallend inschatten en verantwoorden. – Kritisch inzicht verwerven in de internationa ...

    Category: Qualifications Location: Belgium, Flemish Community
  3. Master of Science in Statistical Data Analysis

    Graduates 1. Have advanced knowledge of and insight into a wide range of statistical techniques, their interrelations, and their application. 2. Can properly handle quantitative scientific research questions, independently, effectively and creatively, using appropriate designs and analysis methodology. 3. Are able to correctly use the theory, either methodologically or in an application context, or both, thus contributing to scientific research. 4. Can critically appraise the statistical process, from design, over data quality and data analysis to reporting. 5. Are able to select and use a statistical analysis technique and software tool, suitable for answering a specific research question within a given area of specialization. 6. Are capable of independently and systematically acquiring new knowledge through consulting appropriate sources in the relevant international literature. 7. Are effective written and oral communicators, both towards an audience of statistical experts as well as subject-matter experts. 8. Are aware of the ethical and social context of statistics and behave accordingly. 9. Can handle combined knowledge of at least one specific scientific discipline and the statistical sciences from a mature perspective and with a broad sense of responsibility, both independently and in a multidisciplinary context. (MaNaMa-specific DLR) 10. Can act as a responsible statistician in collaboration with subject-matter scientists. (MaNaMa-specific DLR) ...

    Category: Qualifications Location: Belgium, Flemish Community
  4. Master's Degree in "Science, Technology, Engineering and Mathematics" (MSc). Department of Education. School of Pedagogical and Technological Education (ASPETE).

    The subject of the programme is to provide quality knowledge on issues connecting Didactics with Natural Sciences, Informatics and Computers, Engineering and Mathematics, as well as the promotion of research in this scientific field. The objective purposes of the programme are the following: A. Supporting research on the didactics of the natural sciences (Physics, Chemistry, Biology), Informatics and Computation Science, Engineering and Mathematics. B. The creation of an organisational structure for the development of a depository about the above cognitive subjects. C. Production of specialised scientific and research workforce, specialised on the above cognitive subjects, who are called to reduce the chasm between the technological potential and the reality, and submit proposals connecting Didactics to these subjects within the context of the research and development programmes of the European Union. D. The preparation of education employees and educators for the development of best practices for the analytical programmes for education. E. Production and use of materials produced by the postgraduate programme on teaching of the undergraduate students of the School of Pedagogical & Technological Education (ASPETE). ...

    Awarding bodySchool of Pedagogical and Technological Education (ASPETE)

    Category: Qualifications Location: Greece
  5. Master’s Degree in “Didactic of Mathematics, Sciences and TICE: interdisciplinary approach ”. Department of Pre-school Education and Educational Design. Faculty of Humanities. University of the Aegean.

    Knowledge:- Concepts and research methodology for Teaching Mathematics and Positive Sciences. - Theoretical bases and educational and internet applications of ICTs. - Theoretical principles and methodologies for the design of analytical programmes and educational material. - Importance and development of interdisciplinary connections and fields, as well as of the collaboration in research and learning. - Interactions between the teaching of Mathematics and Positive Sciences and ICTs.- Functional relation between the Didactics for Positive Sciences and the ICTs in the pedagogic and vocational training of educators. Skills - Identification and diagnosis of learning difficulties for Mathematics and Positive Sciences within the context of the environment in and outside of school. - Understanding of the difficulties for the design and educational use of ICTs in the school environment and in connecting school, the family, and society. - Pedagogic and interdisciplinary adjustment of analytical programmes of learning and teaching of Mathematics and Positive Sciences in special educational and social cooperative environments.- Differential development and management of the Educational Material and of the internet sources in scientific learning activities. - Collaboration in research and further learning actions for the Didactics of Positive Sciences and ICTs. Competences- Combination of methods for the scientific observation and educational intervention in school. - Design of teaching situations and learning environmen ...

    Awarding bodyUniversity of the Aegean

    Category: Qualifications Location: Greece
  6. Master’s Degree in "Mathematics". Department of Mathematics. Faculty of Sciences. Univeristy of the Aegean.

    - Competence in understanding advanced mathematical tools.- Acquisition of ability for robust study and of basic competences for the conduct of research.- Competence in resolving mathematical problems that stem from the modelling of theoretical and applied problems. ...

    Awarding bodyUniversity of the Aegean

    Category: Qualifications Location: Greece
  7. Master’s Degree in "Statistics and Actuarial- Financial Mathematics". Department of Mathematics. Faculty of Sciences. University of the Aegean.

    - Acquisition of specialised scientific background on the cognitive fields of Statistics, Actuarial Science, and Financial Mathematics. - Specialisation on the use of composite techniques and tools in statistics (Direction A) and in actuarial and financial mathematics (Direction B) for the preparation of statistical, financial, and actuarial studies. - Acquisition of specialised competences and skills for the preparation of a robust study and for conducting research. - Specialisation required by the most recent scientific and technological developments, in combination with the specific characteristics and needs of modern Greek and European reality. - Preparation for postgraduate studies of doctoral level. ...

    Awarding bodyUniversity of the Aegean

    Category: Qualifications Location: Greece
  8. Master's Degree in " Didactics of mathematics" with directions: 1. Didactics of Mathematics of first age cycle (5-12 years old) 2. Didactics of Mathematics of second age cycle (13-18 years old).

    The graduates:Knowledge: - Have very specialized knowledge on the following sectors: Teaching and learning mathematics, Using technology for teaching mathematics, Research Methodology in Mathematical Teaching, History and Epistemology of Mathematics and Mathematical Teaching of Mathematics. - Are critically aware of the issues of knowledge for mathematics, of teaching and learning them, and of the interconnection between the teaching and learning of mathematics with the fields of Mathematics, Psychology, History, and Epistemology of Mathematics and Technology. - Have heightened critical awareness of the evolutionary dynamics and of the latest issues of Teaching and Learning Mathematics. Skills:- Hold specialized skills for resolving problems, which are required for the research and/or innovation of Mathematics Didactics, with the purpose of developing new knowledge and procedures, and integrating knowledge from different fields of Mathematics, Psychology, History, Epistemology, and Technology. - Apply with originality the acquired knowledge in the research of Mathematics Didactics, the analysis and development of innovative solutions to complex, interdisciplinary and innovative issues regarding the teaching and learning of Mathematics. - Are capable of evaluating, interpreting, and advancing modern scientific research and studies in the field of Mathematics Didactics. - Articulate inductively in a scientifically documented way, solutions to complex and new issues and make valid judgements taking into account ...

    Awarding bodyUniversity of Western Macedonia

    Category: Qualifications Location: Greece
  9. Applied Mathematician

    A képzés célja alkalmazott matematikusok képzése, akik tudományos kutatási szintet elérő szakmai felkészültségükkel magas szintű matematikai ismereteik és modellezési tapasztalataik birtokában képesek alkotó módon a gyakorlatban felmerülő matematikai problémák megoldására. Nyitottak szakterületük és a rokon területek új tudományos eredményeinek kritikus befogadására. Felkészültségük alapján képesek a gyakorlati problémák modellezésére, megoldására és a megoldások gyakorlati kivitelezésének irányítására. Felkészültek tanulmányaik doktori képzésben történő folytatására. Az elsajátítandó szakmai kompetenciák Az alkalmazott matematikus a) tudása Rendszerszinten és összefüggéseiben ismeri a matematika tudományának módszereit az algoritmuselmélet, az alkalmazott analízis, a diszkrét matematika, az operációkutatás, a valószínűségszámítás és a matematikai statisztika területén. Összefüggéseiben ismeri az alkalmazott matematika eredményeit az algoritmuselmélet, az alkalmazott analízis, a diszkrét matematika, az operációkutatás, a valószínűségszámítás és a matematikai statisztika területén. Ismeri az alkalmazott matematika különböző részdiszciplínái közötti mélyebb, átfogóbb kapcsolatokat, egymásra épülésüket. Ismeri az absztrakt matematikai gondolkodást, az absztrakt matematikai fogalmakat. Ismeri az alkalmazott matematikai modellek megalkotásához és szimulálásához szükséges informatikai, számítástechnikai ismeretanyagot. Specializáció választása nélkül továbbá Ismeri a differenciálegyenletek, a közelítő szám ...

    Category: Qualifications Location: Hungary
  10. Hydrobiologist

    A képzés célja hidrobiológus szakemberek képzése, akik természettudományi, mezőgazdasági, matematikai és informatikai alapismereteik, valamint a hidrobiológia fogalmainak, alapvető összefüggéseinek és ismereteinek birtokában alkalmasak a mára már stratégiai elemmé vált vízzel, a vízi élőlényekkel kapcsolatos kutatás-fejlesztési, gyakorlati és szakmai menedzsmenti feladatok ellátására. A képzés során szerzett ismeretanyag és szaktudás hasznosítható minden olyan tevékenység esetében, ahol a víznek, a vízi ökológiai rendszereknek, a vízi élőlényeknek a vizek vagy a vizeket felhasználók szempontjából jelentősége van. Felkészültek tanulmányaik doktori képzésben történő folytatására. Az elsajátítandó szakmai kompetenciák A hidrobiológus a) tudása Ismeri a hidroszférában lejátszódó folyamatokat, valamint a folyamatok kapcsolatrendszerének feltárására, értékelésére és rendszerben való kezelésére alkalmas módszereket. Ismeri, használja és fejleszti azokat a terepi, laboratóriumi gyakorlati módszereket és eszközöket, melyeket a modern hidrobiológia alkalmaz, valamint a saját munkájához, illetve kutatásaihoz szükséges. Birtokában van a hidrobiológia tudományára jellemző elméletek, paradigmák és elvek alkalmazói szintű ismereteinek, ismeri a víz, mint környezeti elem és erőforrás fenntartható használatának, hasznosításának és megőrzésének lehetőségeit. Megtalálja az összefüggéseket a különböző hidrobiológiai diszciplínák keretében elsajátított ismeretkörök között, érti az interdiszciplináris megközelítés fontosságá ...

    Category: Qualifications Location: Hungary

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