M.Sc. Data Mining and Knowledge Management

Université de Nantes

Application deadline: April 2010
Tuition fee:
  • € 4,000 / Year (EEA)
  • € 8,000 / Year (Non-EEA)
Start date: September  2014, October  2014
Duration full-time: 24 months
Partnership: Erasmus Mundus Scholarship
Languages:
  • English
Location:
Disciplines:
Delivery mode: On Campus
Educational variant: Full-time

Show more

Your Details
Thank You

Become a StudyPortals member and get access to exclusive information, like scholarships and student reviews, related to your favourite programme!

Please enter your full name.

Something went wrong. Please try again here.

Confirmation e-mail address does not match.

Confirmation e-mail address does not match.

An account with this e-mail already exists. Please log in here.

Are you already a StudyPortals Member?
Find all members only information here

Next

Thank you! Please check your e-mail to activate your account. Once your membership account is activated, you can find all information here.

You can also find alternative Masters here

Description

Advertisement

Erasmus Mundus Masters Courses
EM-DMKM
Data Mining & Knowledge Management

Duration: 1 year 11 months

Course description:
The primary social and economic value of modern societies is knowledge. For this reason, mastery of Technologies able to extract dormant knowledge from information recorded in Datwarehouses or the Web, is indispensable for a sustainable development of both the individual and the society. Data Mining and Knowledge Management (DMKM) has become essential for improving the competitiveness of businesses and increasing access to knowledge. However, DMKM has still to face major scientific and technological challenges. The EMMC degree in DMKM offers specialist training in this field.

The Master in DMKM is based on experience in multi-site teaching gained from the Master degree in Knowledge Extraction from Data, which has been running since 1999 within three members of the consortium, and is taught by established scientists in the field.

The Master in DMKM is aimed at students from all over the world. Candidates must have a Bachelor degree (or equivalent) in Computer Science, Applied 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 whole 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 mathematics, statistics, database techonology, etc., whearas the two following ones are dedicated to acquire two specialities among six available ones: "E-Science", "Data Mining and Complex System Modeling and Application in Social Sciences", "Knowledge and Decision", "Statistical Modeling and Data Mining", "Semantic Web", "Relational Data Mining". The fourth semester is devoted to the elaboration of a dissertation thesis in either a laboratory or a company.

The network of partnership agreements set with leader laboratories and major companies where students may perform internships during the last semester will offer to holders of the EMMC degree in DMKM multiple employement opportunities in high-tech industry, business intelligence companies, banking & finance, or research and academic environments.

Language classes will also be provided to ensure that students integrate as well as possible in sociocultural environment of the host country. Each student must spend 6 to 12 months in at least two of the 4 countries. Students that have obtained 120 ECTS will automatically obtain national Maste degrees from the countries in which they have studied. Students can benefit, on their site of residence, from support in the form of tutoring for each course.

Tuition fees are 4,000 EUR per year for European students and 8,000 EUR per year for other students. Some scholarships will be available for students selected on their academical profile, their motivations and their personal project.

Website:

Contents

Classes are taught in English and the whole 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 mathematics, statistics, database techonology, etc.,

The two following semestrers are dedicated to acquire two specialities among six available ones:

* "E-Science",
* "Data Mining and Complex System Modeling and Application in Social Sciences",
* "Knowledge and Decision",
* "Statistical Modeling and Data Mining",
* "Semantic Web",
* "Relational Data Mining".

The fourth semester is devoted to the elaboration of a dissertation thesis in either a laboratory or a company.

Requirements

The Master in DMKM is aimed at students from all over the world. Candidates must have a Bachelor degree (or equivalent) in Computer Science, Applied 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.

English Language Requirements

IELTS band: 6
TOEFL paper-based test score : 550
TOEFL iBT® test: 79

Members only information

Scholarships

Please sign in to have access to members only information like related scholarships, student reviews etc. Not a member yet? Create a StudyPortals membership account now!

Reviews

Please sign in to have access to members only information like related scholarships, student reviews etc. Not a member yet? Create a StudyPortals membership account now!

Create a free account now!

  • Save and compare your favourite study programmes
  • Apply for the
    € 1000 scholarship
    awarded by StudyPortals each three months
  • Receive personal updates helping you to find the right study programme for you
Sign up for free or log in
Add to favourites

Apply for a € 1,000 Scholarship from StudyPortals now Awarded every three months

more information

Thanks for your question

Please provide your e-mail and name, so we can get back to you. Already a member? Sign-in

Or

Please provide a valid e-mail address
Thanks for your question
Please sign-in
Welcome to StudyPortals chat
Thank you
Thank you for your question. We will get back to you soon! The reply will be sent to your account which you can activate via the e-mail you just received. Find more study programmes
More info about studying
in Europe?
Chat with us!
More info about studying
in Europe? Ask a question to
our study advisors!
Chat with us!
Ask a question to our
study advisors! Click here
anywhere