The aim of the Erasmus Mundus master’s degree in Data Mining and Knowledge Management is to train engineers and researchers to extract latent, potentially useful information from stored data, display it to the final user in a comprehensible manner and incorporate it into an intelligent decision-making system. Beginning with basic training, students can choose two specialisations from among the following six: E-Science; Data Mining in the Social Sciences; Knowledge and Decision Making; Statistical Modelling and Data Mining; the Semantic Web; and Relational Data Mining.
|Duration||Two academic years|
|European programme||Erasmus Mundus|
|Languages of instruction||English|
|Organised by||Barcelona School of Informatics (FIB)|
Universitat Politècnica de Catalunya (UPC)
Ecole Polytechnique de l'Université de Nantes (France)
Università degli Studi del Piemonte Orientale Amedeo Avogadro (Italy)
Universitatea Politehnica din Bucuresti (Romania)
Université Lumière Lyon 2 (France)
Université Pierre et Marie Curie (France)
|Coordinating university||Université Lumière Lyon 2 (France)|
Facultat d’Informàtica de Barcelona (FIB).Edifici B6. C. Jordi Girona, 1-3. 08034 Barcelona
|Fees||The Erasmus Mundus Masters fees are determined by the University Consortium that organizes the studies. These fees are the same for all the participant universities. For more information, please do not hesitate to contact the master web site.|
Graduates of this master degree have the opportunity to work in areas in which data are important for acquiring new knowledge and making decisions, such as the high-tech industry, business intelligence services, web analysis and management, banking and finance, public institutions (particularly in the fields of health, transport and governance), academic environments and research, particularly genomic and medical research.
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