Erasmus Mundus Masters in DMKM-Data Mining and Knowledge Management

Deadline: 3 January 2012
Open to: Candidates must have a Bachelor’s degree (or equivalent) in one of the fields of computer science, mathematics or statistics, as well as a good level of English (at least TOEFL 550 or equivalent)
Scholarship: A scholarship (24,000 Euros per year), whereas European students may apply to a category B scholarship (11,500 Euros per year)

Description

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. The consortium is composed of six universities  from 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).
Classes are taught in English and the course is composed of 18 modules of about 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. Each student must spend at least one semester 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.

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).

Eligibility

  • Students from all over the world.
  • Candidates must have a Bachelor’s degree (or equivalent) in one of the fields of computer science, mathematics or statistics.
  • Good level of English (at least TOEFL 550 or equivalent).

Scholarship

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. Fees cover both the tuition fees and the national enrollment fees, including social security, health and home insurance. Tuition fees will be paid in total each year at the start of classes.

Third countries students may apply to a category A scholarship (24,000 Euros per year), whereas European students may apply to a category B scholarship (11,500 Euros per year). European students, who send their 4-th semester in a third country, will receive an additional lump sum of 3,000 Euros (just one time, not every year).

Application

Fill-in the application form online with  personal details, university education and marks obtained, language skills, professional experience, work placements, cultural knowledge obtained from travelling or other means.
Indicate whether or not he/she applies for a scholarship. Upload by the indicated deadline all the required documents and proofs:

  • Recent identity photo;
  • Copy of passport of other legal identification document;
  • List of marks obtained during the three-year bachelor course;
  • Syllabus or description of the courses taken in the fields of computer science, mathematics, and statistics in the three-year bachelor course;
  • Obtained certificates or diplomas in foreign languages;
  • A letter describing his/her interests in the field and motivations to enroll in the Master
  • A CV including a list of previous work placements and professional experience;
  • Two referees’ contacts (e-mail is preferable).

European Students can submit a conditionnal application, as long as they provide their Bachelor Diploma at least in June, 2012. Students from Third Countries can provide their Bachelor until March, 2012.

The Official Website

2 thoughts on “Erasmus Mundus Masters in DMKM-Data Mining and Knowledge Management

  1. for all concerning body first, i would like to thank you for heniplg us by providing the chance to learn. next, i like to introduce my self to you. i was graduated from Jimma university (Ethiopia) i have a BSc in mechanical engineeringi want to learn further (MSc) in my profession to have better knowledge and skill which would result in changing myself, my country and the world. i have a big vision and interest to learn. so, if you give chance to me, i will be very happy. this may let me attain my vision and help country. thank you

  2. i am shifare berhe from Ethiopia . i gtudaared from jimma university with bachelor of degree in chemistry .i have three years service as assistance lecturer and now iam going to complete my mastrate degree in analytical chemistry in Haramaya university in the coming October. i am very interested to continue my PhD or my mastrate degree in the following area ; advanced spectroscopy, chemical engineering, biochemistry, nano science , forensic chemistry , and other related fields if you let me this chance . i am looking your positive response hope fully. thank you for your cooperation!

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