Universitat Politècnica de Catalunya · BarcelonaTech

Erasmus Mundus Master in Data Mining and Knowledge Management (DMKM)

2015-2016 academic year

Introduction

Erasmus Mundus master in Data Mining and Knowledge Management (DMKM) does not offer places for 2015-2016.
Duration Two academic years
ECTS credits 120
Delivery Face-to-face
European programme Erasmus Mundus
Languages of instruction English
Organised by Barcelona School of Informatics (FIB) Obre en finestra nova
Participating institutions Universitat Politècnica de Catalunya (UPC) Obre en finestra nova
Ecole Polytechnique de l'Université de Nantes (France) Obre en finestra nova
Università degli Studi del Piemonte Orientale Amedeo Avogadro (Italy) Obre en finestra nova
Universitatea Politehnica din Bucuresti (Romania) Obre en finestra nova
Université Lumière Lyon 2 (France) Obre en finestra nova
Université Pierre et Marie Curie (France) Obre en finestra nova
Coordinating university Université Lumière Lyon 2 (France) Obre en finestra nova
Location

Facultat d’Informàtica de Barcelona (FIB).Edifici B6. C. Jordi Girona, 1-3. 08034 Barcelona

Prices

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.

More information about fees, grants and loans and payment options. Obre en finestra nova
Website http://www.em-dmkm.eu/ Obre en finestra nova
E-mails info.emdmkm@(fib.upc.edu)


Competencies

On finishing the master's degree, graduates will be able to:

Generic competencies

Generic competencies are the skills that graduates acquire regardless of the specific course or field of study. The generic competencies established by the UPC are capacity for innovation and entrepreneurship, sustainability and social commitment, knowledge of a foreign language (preferably English), teamwork and proper use of information resources.

Specific competencies

  • Analyse in depth information requirements for problem solving.
  • Manage large databases.
  • Extract hidden information and knowledge from these databases.
  • Implement this knowledge in decision-making support systems and intelligent systems.

 

Professional opportunities

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.

Curriculum Obre en finestra nova

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