Specialty - Decision Data Mining (GI-FDD)

The elective specialty "Decision Data Mining” (GI-FDD) aims at providing dual computer skills to UTC students: on one hand, in statistics and data analysis and on the other, in data warehouse and decision computer aided protocols.


The courses proposed cover data warehouse and decision process protocols, multi-dimensional data analysis as used in data mining and statistical analytical methods (factorial analyses, regressions, automatic discriminating classification, neuron networks, vectorial computers, ...), plus techniques such as indexing, referencing, OR and image treatment.


The GI-FDD specialty is backed by the "Decision and Image analysis" research team at UTC-Heudiasyc Lab working currently on large scale learning systems, probabilistic models, uncertainty reasoning and data merging.

Placements and Industrial Relations

Some industrial partners (as guest lecturers, participating in the GI-FDD advisory council) also welcome students for their end-of-studies projects - are computers science groups (Micropole-Univers, SAP, Cap-Gemini, ...), software specialists (SAS, KXEN, Talend, ...), major computer science users (PSA, Société Générale, EDF, GDF, Microsoft, Spotify, ...), or large national research institutions and establishments.

Examples of placements

  • The national RTE grid (electricity): modelling and automatic analysis of interaction power flows to detect abnormal situations.
  • French Ministry for Defence (≈MOD): design and implementation for large-scale graph analysis (Graph-mining) in a Hadopi environment. The aim was to design and experiment a robust approach with incomplete data inputs.


Students who take the GI-FDD elective specialty can be accepted for a semester study in one of UTC's partner universities (cf. table) and can also carry out their end-of-studies in a wide range of countries where local companies propose themes.

Professional Openings

GI-FDD refers to an emerging professional field, with new jobs, known as Data Sciences, with data that can be commercial, production oriented, R&D intensive using large scale digital models.

Further Education

As with GI-ADEL (above) courses are offered to GI-FDD students at Master's level Information Technology for Cooperating Autonomous systems (TIS), and PhDs.

› The above courses and other, shorter modules whether leading to a diploma award or not, can be obtained in the UTC Continuous Education scheme or via the Professional experience validation scheme (VAE).


Responsable de la filière
Benjamin Quost
Phone : 03 44 23 49 68 | Contact by email

Responsable pédagogique
Philippe Trigano
Phone : 03 44 23 45 02 | Contact by email

Coordinatrice des stages
Maryam Ly
Phone : 03 44 23 52 37 | Contact by email

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