Data Mining and Knowledge Management, Master

Data Mining and Knowledge Management, Master

  • Application Deadline
  • 24 months
    Duration
University rank #38 (BCR) ,
Data mining and knowledge management (DMKM) has become essential for improving the competitiveness of businesses and increasing access to knowledge. DMKM still, however, comes up against major scientific and technological obstacles. This EMMC’s degree in DMKM proposes specialist training in this field.

About

The sheer amount of numerical data, textual documents, images, video, Web sites available today is overwhelming, and cannot satisfy, per se, the emerging knowledge society. It is indeed necessary to extract, from this wealth of information, the knowledge hidden inside. Only this ability could guarantee a better future to the individuals and the society, as well as a sustainable economical development and competitiveness.

To locate useful information, to transform it into actionable knowledge, and to manage its use for decision-making can be accomplished through the exploitation of methodologies and tools of Data Mining and Knowledge Management (DMKM). Notwithstanding the availability on the market and in academic environments of advanced solutions and systems, DMKM still calls for further research and developments to face new important challenges. In particular, some hot issues are still to be tackled, such as the following ones:

  • To face the exponential increase of data it is not sufficient to rely on larger storing devices and/or faster computers. New intelligent approaches are to be designed to tame the very size of data.
  • Data assume different modalities, such as numbers, texts, audio-video, sensor signals, and so on. Integrating into a unique system such complex data is still a challenge. Also, spatial distribution of data (for instance, on several Web sites or different data bases) is a source of difficulty for integration.

Competences and skills

  • At the end of the programme, the successful students shall have acquired competences in computer science, applied mathematics and statistics, and advanced information processing methods that will allow them to:
  • Perform in depth analysis of information requirements for solving problems;
  • Manage large databases;
  • Make use of such databases with the goal of extracting from them hidden information and knowledge;
  • Deploy this knowledge in decision support systems or intelligent systems, both in academic and in industrial environments.
  • Around 50% of the programme is devoted to applications in the field, solving real data mining problems and the implementation of the standard techniques liable to be encountered by students in their future professional activities.

Programme Structure

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.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:

    80

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®
  • Minimum required score:

    550

    The TOEFL®PBT is administered in a paper format and measures your ability to use and understand English in a classroom setting at the college or university level. It accurately measures how well you can listen, read and write in English while performing academic tasks. Read more about TOEFL®PBT.

    Schedule TOEFL®
  • Minimum required score:

    6

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Schedule IELTS

Academic Requirements

  • 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 Computer Science, Applied Mathematics or Statistics.

  • Mastering English at a level equivalent to 550 TOEFL.

Evaluation criteria for candidates: Selection of the candidates who satisfy the admission criteria is based on the following points:

  • Quality of the university results in the last three years (20 pts);

  • Adequacy of knowledge already acquired with the content of the Master's (10 pts);

  • Work placements done by the candidate (2 pts);

  • Knowledge of foreign languages other than English (2 pts);

Tuition Fee

  • International Applies to you

    5000 EUR/year
    Tuition Fee
    Based on the original amount of 5000 EUR per year and a duration of 24 months.
  • EU/EEA Applies to you

    5000 EUR/year
    Tuition Fee
    Based on the original amount of 5000 EUR per year and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Paris

  • 1195 - 1780 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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