The primary social and economic value of modern societies is knowledge. For this reason, mastering Information technology for structured or unstructured information recorded in Datawarehouses, such as the Web, and containing dormant knowledge is essential to the development of both individual 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 EM MC’s degree in DMKM proposes specialized training in this field.
The consortium is composed of six universities among four countries: France (University of Pierre and Marie Curie Paris 6, University of Lyon Lumière Lyon 2, Polytec’Nantes), Romania (University Polithenica of Bucharest), Italy (University of East Piedmont) and Spain (Technical University of Catalonia). The Master in DMKM is based on experience in multi-site teaching gained from the Master’s degree in Knowledge Extraction from Data, which has been running since 1999 within three members of the consortium.
To be eligible to apply for the Master’s programme DMKM, students must satisfy to both of the following conditions:
- Be the holder of a Bachelor’s 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:
- When applying, since visa process takes a long time, for Students living in third countries.
- By July, 15th, For Students living in EU.
- Mastering English at a level equivalent to 550 TOEFL.
On this site, a table with the conversion rate between TOEFL International score and other English proficiency scale is reported. More precisely, the minimum scores required to be acceptable for the Master are the following ones:
- TOEFL International (Paper) ≥ 550
- TOEFL Computer ≥ 213
- TOEFL IBT ≥ 79
- IELTS ≥ 6.0
- TOEIC ≥ 690
- VEC Online ≥ 74
- CPE graded B
The Master in DMKM is aimed at students from all over the world. Candidates must have a Bachelor’s degree (or equivalent) in the fields of computer science, mathematics or statistics, as well as a good level of English (TOEFL 550 or equivalent). Admission is granted on the basis of a selection procedure. Classes are taught in English and the course is composed of 18 modules of around sixty hours each. The course runs over 4 semesters.
The first semester is devoted to basic training and includes subjects in mathematics, statistics, databases, etc., whereas the two following ones are devoted to acquire two specialties among six ones, such as Complex Data Mining, Information retrieval, Knowledge acquisition and management, etc. The fourth semester is targeted to the writing of a dissertation in either a laboratory or a company. Language classes will also be provided to ensure that students integrate as well as possible in socio-cultural terms in the host country. Each student must spend (6-12) months in at least two of the four countries.
Students that have obtained 120 ECTS will automatically obtain national Master degrees from the countries in which they have studied. Classes are transmitted via video-conferencing. They are also recorded and accessible online. Students can benefit, on their site of residence, from support in the form of tutoring for each course. Tuition fees are 4,000 €/year for European students and 8,000 €/year for other students. All candidates may apply for Erasmus Mundus scholarships.
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