DMKM - Data Mining & Knowledge Management
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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.
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Master
In Barcelona (Spain)
Description
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Type
Master
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Location
Barcelona (Spain)
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Duration
2 Years
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Start date
October
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Credits
120
This Erasmus Mundus Masters in Data Mining and Knowledge Management (DMKM) program offers students specific training to advance their understanding in this field. This two year program offers students a unique look at the industry of DMKM. Students are taught skills that allow them to increase access to knowledge and improve the competitiveness of companies. This masters program allows students to study at six universities across Europe. The goal of this program is to create competent individuals who excel in area of Data Mining and Knowledge Management.
Facilities
Location
Start date
Start date
About this course
Applicants must have a Bachelor degree, earned in at least three year equivalent to 180 ECTS, in Statistics, Mathematics, or Computer Science. Applicants must score 550 on the TOEFL test or an equivalent score on an internationally accepted language test, in order to prove their proficiency in the English language.
Reviews
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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.
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Course rating
Recommended
Centre rating
Alexey Grigorev
Subjects
- E-Science
- Data Mining
- Complex system modelling
- Knowledge and Decision
- Statistical Modelling
- Relational data mining
- Semantic Web
Course programme
We should distinguish:
- 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.
- 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;
Additional information
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
DMKM - Data Mining & Knowledge Management