M.Sc. Data Mining and Knowledge Management

  • On Campus
  • 24 months
  • EUR8000 Year (Non-EEA)
  • English (Find a course)
Université de Nantes | Nantes, France
The primary social and economic value of modern societies is Knowledge. For this reason, mastery of technologies able to abstract dormant knowledge from information, recorded in Datawarehouses or the web, is indispensable for a sustainable development of both the individual and the society.

Description of Data Mining and Knowledge Management


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's degree in DMKM proposes specialist training in this field.

The main objective of the Master is to teach the students the approaches and the informatics tools necessary to perform effective Data Mining and Knowledge Management. A further goal of the Master is to initiate the students to the theoretical and/or applied research methodologies in this field.
We can summarize the main objectives of the EM's degree in DMKM in two points:
  • Training high-skilled engineers and researchers in DMKM to fit both industry and academic research needs.
  • Creating an international scientific collaboration network directed by a European consortium. Through teaching and research, this network will be able to:
  • Enhance knowledge in the DMKM domain;
  • Create new opportunities to improve the links between Europe and the third countries in scientific and industrial domains;
  • Promote intercultural approaches in the related domains.

Detailed Course Facts

Application deadline June 15th
Tuition fee
  • EUR 8000 Year (Non-EEA)
  • EUR 4000 Year (EEA)
Start date September  2016, October  2016
Duration full-time 24 months
Delivery mode On Campus
Educational variant Full-time

Course Content

The first semester is devoted to basic training and includes mathematics, statistics, database technology, etc., whereas the two following ones are dedicated to acquire two specialties among five available ones :

  • E-science
  • Data Mining and Complex System Modeling and Application in Social Sciences,
  • Knowledge and Decision,
  • Statistical Modeling and Data Mining,
  • Relational Data Mining.
All common courses will be guaranteed to be multi localized by the partner universities, through videoconferencing.
The fourth semester is devoted to the elaboration of a dissertation thesis in either a laboratory or a company.
Language classes will also be provided to ensure that students integrate socio-cultural environment of the host country. Each student must spend from 6 to 12 months in at least two of the three countries.

Requirements for Data Mining and Knowledge Management

Admission criteria: To be eligible to apply for the Master programme DMKM, students must satisfy both the following conditions:

  • Be the holder of a 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.
  • If the above list does not mention your test, please upload your certificate of proficiency in English in the application online.
  • Irequired.

Academic evaluation criteria of the candidate's curriculum: Evaluation of the academic curriculum of the candidate is based on the following criteria:

  • Quality of the results obtained in the last three years of university study (20 pts);
  • Adequacy of knowledge already acquired in the Master’s subjects (10 pts);
  • Previous work placements (2 pts);
  • Knowledge of foreign languages, excluding English and the mother language (2 pts);
  • Evaluations, made by at least two teachers (or senior researchers) who have known the student, regarding his/her suitability to enroll in a Master programme (5 pts);
  • Student's motivations (20 pts).

Communication evaluation criteria of the candidate interview: Evaluation of the interview is based on the following criteria:

  • Understanding of the English language (4 pts);
  • Ability to speak English (4 pts);
  • Candidate's motivations to enroll in the Master (8 pts);
  • Consistency between the candidate's professional expectations and the goal of the Master (6 pts);
  • Match between the candidate's previous knowledge and the content of the Master courses (4 pts);

Work Experience for Data Mining and Knowledge Management

No work experience is required.

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