DMKM - Data Mining & Knowledge Management

Universitat Politècnica de Catalunya. Masters Erasmus Mundus
In Barcelona (Spanien)

8.000 
inkl. MwSt.
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Wichtige informationen

  • Master
  • Barcelona (Spanien)
  • Dauer:
    2 Jahre
  • Wann:
    Oktober
  • Credits: 120
Beschreibung

The primary social and economic value of modern societies is knowledge. For this reason, mastering Information technology for handling information, recorded in Datawarehouses or the Web, is essential to the development of individuals and society. Data Mining and Knowledge Management (DMKM) has become essential for improving the competitiveness of businesses and increasing access to knowledge. DMKM still comes up, however, against major scientific and technological obstacles. This European Master in DMKM proposes specialized training in this field.

Wichtige informationen
Veranstaltungsort(e)

Wo und wann

Beginn Lage
Oktober
Barcelona
Barcelona, Spanien
Plan ansehen

Häufig gestellte Fragen

· Voraussetzungen

Bachelor degree (a minimum of three years' study at a university and corresponding to the equivalent of 180 ECTS) in the fields of Computer Science, Mathematics or Statistics. Mastering English at a level equivalent to 550 TOEFL.

Meinungen

A

01.09.2012
Das Beste As a graduate I applied to the Erasmus Mundus Master's Program in Data Mining and Knowledge Management (DMKM) for the fundamental study of Data Mining and related aspects such as Data Analysis, Machine Learning and Statistical Modeling. Not only it was the curriculum attractive for me, but the general idea of the Erasmus Mundus programme of cultural exchange trough mobility and academic cooperation is also appealing. Upon finishing the program I plan to pursue PhD and combine professional and teaching activities. The qualification obtained through the studies will allow me to easily enroll in any doctoral program, and I am specifically interested in researches conducted by Université Libre de Bruxelles and Poznán University of Technology. Teaching is also important for me, because besides building my career I am enthusiastic about sharing my experience and knowledge with others.

Zu verbessern I liked everything

Würden Sie diesen Kurs weiterempfehlen? Ja.
Hat Ihnen diese Meinung geholfen? Ja (0)

Was lernen Sie in diesem Kurs?

E-Science
Data Mining
Complex system modelling
Knowledge and Decision
Statistical Modelling
Relational data mining
Semantic Web

Themenkreis

We should distinguish:

  1. Common courses. These are composed of 10 courses: 6 in Semester 1, 2 in Semester 2 and 2 in Semester 3. They are devoted to providing the students with the theoretical and methodological background for the specialties. All common courses will be guaranteed to be multi-localized by the partner universities, through video-conferencing . One teacher or a team can give each course. The courses will be then available to all students independently from the country they live in. In this way, all students will share a common background (same pedagogical content, same teachers and same language with a virtual unity of place). To every course teachers available locally at each university will supply 15 additional hours of tutoring.
  2. Specialty courses. Semesters 2 and 3 are dedicated to the acquisition by each student of two specialties provided by the partners under the mobility conditions stated below. Each partner gives a specific training related to its own specialties but following the global objective of the programme. In order to avoid course duplication, these semesters offer a total of six specialties including four courses each. The specialty courses are organized locally and not broadcasted using the video-conference technology.

Semester 2 is associated to the following specialties:

  • E-Science, by the University of Paris 6 (UPMC, France);
  • Data Mining & Complex system modelling, application in social science, by the University of Lyon 2 (ULY2 France);
  • Knowledge and Decision, by Polytech’Nantes (EPUN, France);

Semester 3 is associated to the following specialities:

  • Statistical Modelling and data mining, by the Polytechnic University of Catalonia (UPC, Spain)
  • Relational data mining, by the University of Eastern Piedmont (UPO, Italy)
  • Semantic Web, by the University of Bucharest (UPB, Romania)

In short:

  • All common courses will be broadcast via videoconference;
  • All courses will be taught in English;
  • All class materials will be in English;
  • All common courses will be recorded and made available to the students for downloading.
  • Each course consists of 40 hours plus 15 hours of individual or collective support provided locally. This assistance will be scientific or pedagogical accompaniment for the students;

Zusätzliche Informationen

Application for Category A Scholarships: January 15
Application for Category B Scholarships: January 15
Selection meeting: January
Notification of the pre-selection lists: February 15
Final decision from EACEA: April 30
Application without Scholarship: April 30
Courses will start on: October

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