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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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Legal documents, Studies, Documents agreed by the EQF Advisory Group and

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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  1. Professional Bachelor's Degree in Statistics Mathematics, Statistics Mathematician (LU)

    - to study basic courses of different sub-branches of mathematics; - to master courses of mathematical statistics and economics of mathematics; - to be able to use computer and special computer packages; - to accomplish a practice period in statistics or development of mathematical models of economy in a state or a private enterprise; - to develop and defend in public a Bachelor thesis, which requires understanding of various study courses of mathematics and particularly the courses on theory of probability and mathematical statistics and their mutual interconnections; - demonstrates practical application of basics of mathematics, statistics and computer science in concrete mathematical and statistical problem solving. The purpose of the professional higher education study programme Mathematician Statistician is to train qualified mathematicians and statisticians for Latvian State institutions as well as for the state and private structural units of national economy. Competences: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 ...

    Awarding body- University of Latvia

    Category: Qualifications Location: Latvia
  2. Bachelor's Degree in Statistics and Actuarial- Financial Mathematics. Department of Mathematics. Faculty of Sciences. University of the Aegean.

    - Have knowledge of the cognitive fields of Statistics, Actuarial Science, and Financial Mathematics. - Know how to use composite mathematical methods in order to resolve statistical, actuarial and financial mathematical problems. - Acquire a noteworthy mathematical background, along with the acquisition of sufficient knowledge about Information Technology, Accounting, and Economics. - Combine the advanced competences of a positive science and business executive. - Are capable of acquiring professional experience (through Practical Training) in Public Agencies and Insurance or Financial Businesses and Organisations. - Know and assess business risks. - Know and decide about the pricing of goods and services. - Know and prepare insurance, financing, or pension plans and investment programmes. - Know how to study the method of allocating limited resources in time. - Know how to prepare (plan and implement) statistical studies and research in every market field. ...

    Awarding bodyUniversity of the Aegean

    Category: Qualifications Location: Greece
  3. üzleti adatelemző

    A képzés célja, hogy fejlessze és erősítse az üzleti intelligencia és a data science területhez tartozó  szakmai ismereteket, elsődlegesen az elemzési kompetenciák vonatkozásában. Elsősorban azokat a munkavállalókat szólítja meg, akiknek munkájukhoz szükségük van az üzleti intelligencia és a data science által nyújtott elméleti és gyakorlati támogatásra, valamint üzleti intelligencia rendszert akarnak kialakítani, fejleszteni, működtetni.           A képzés során elsajátítandó tudáselemek, megszerezhető ismeretek:- vállalati architektúra menedzsment;- üzleti intelligencia és részterületei;- döntéselmélet, döntéstámogató rendszerek, vezetői döntések támogatása, kontrolling;- adattárházak, adatminőség és menedzsmentje;- üzleti analitika, vizualizáció és analitika, az adatelemzés eszközei, módszerei;- üzleti teljesítménymenedzsment;- intelligens alkalmazások, big data technológiák;- adatbányászat folyamata, modelljei, webbányászat és szövegbányászat;- informatikai vezetési ismeretek, IT Projekt menedzsment.      A képzés során elsajátítandó kompetenciák:- a hallgató képes lesz adatmenedzsment/adatéletciklushoz kötődő feladatok megoldására;- a hallgató le tudja fordítani az üzleti kihívásokat analitikai problémákká;- a hallgató képes lesz üzleti analitikai problémák felismerésére és megoldására;- a hallgató fel tud ismerni és meg tud oldani adat, web és szövegbányászati problémákat;- a hallgató ismeri az adatelemzés legújabb technológiáit, képes lesz ”big data” menedzsment feladatok azonosítására és megoldására;- a ...

    Awarding bodyBudapesti Corvinus Egyetem

    Category: Qualifications Location: Hungary