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M2 Big Data Management and Analytics (BDMA)

Candidater à la formation
  • Capacité d'accueil
  • Langue(s) d'enseignement
Objectifs pédagogiques de la formation

Nowadays, data drives the world. Public and private organisations in all sectors face an avalanche of digital data. While at first glance this appears to be favourable for our knowledge-based society, in many ways it is a burden. Data is of great value only after it has been refined and analysed, in order to produce information and knowledge that can be used for decision making in a particular domain of interest. Usage is no longer restricted to simple querying or data mining, it increasingly requires exploration, recommendation, explanation, and visualisation, along with special treatment of time and location.

This specialization disseminates essential knowledge about the ethical generation, collection, and exploitation of data for efficient decision-making systems. It focuses on models, algorithms, and technologies related to massive data analytics. It covers theoretical foundations such as decision-making in uncertain situations, machine learning methods, graph management and analytics as well as visualisation and innovation.

This specialization is underpinned by the Erasmus Mundus BDMA (Big Data Management and Analytics) Master’s program.

Lieu(x) d'enseignement
Pré-requis, profil d’entrée permettant d'intégrer la formation

Science and engineering graduates, holding diploma equivalent to high school diploma + 4 years of higher education studies. Including Erasmus Mundus BDMA programme students (achieving ULB and UPC BDMA programme).

  • The students acquire fundamental knowledge related to models, algorithms, and technologies for decision-support systems.

  • The students acquire fundamental knowledge in data management and data analytics that any data specialist must have.

  • The students develop fundamental technical competences as well as skills in research, ethics and entrepreneurship.

Profil de sortie des étudiants ayant suivi la formation

Digital Transformation Leader, Data Scientist, System Analyst, Data Specialist, and Data Administrator

Débouchés de la formation

Career opportunities for students in this field include executive IT positions in industry or the services sector, or data management research and development positions in universities or public and private research organizations, or in major groups and startups. More specifically, career opportunities following the BDMA track include those linked to models, algorithms, and technologies related to decision-support systems and massive data analytics.

Laboratoire(s) partenaire(s) de la formation

Laboratoire de recherche en informatique
Laboratoire des Signaux et Systèmes
Centre de Vision Numérique
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur.


Le parcours BDMA est uniquement ouvert en M2. Il s'adresse aux étudiants inscrits au programme Erasmus Mundus. La validation du premier semestre consiste à valider 11 UEs.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
[BDMA] Big Data Research Project 5 4 4 40
[BDMA] Decision Modeling I 2.5 12 12
[BDMA] Decision Modeling II 2.5 12 12
[BDMA] French Language and European Culture or Scientific English 2.5 24
[BDMA] Law & Intellectual Property 2.5 16 6
[BDMA] Machine Learning I 2.5 12 12
[BDMA] Machine Learning II 2.5 12 12
[BDMA] Massive Graph Management and Analytics 2.5 12 12
[BDMA] Massive Graph Management and Analytics II 2.5 12 12
[BDMA] Visual analytics I 2.5 12 12
[BDMA] Visual Analytics II 2.5 12 12

Le deuxième semestre du M2 BDMA consiste en un stage long (5 à 6 mois) permettant d'obtenir 30 ECTS.

Matières ECTS Cours TD TP Cours-TD Cours-TP TD-TP A distance Projet Tutorat
Long internship 30
Modalités de candidatures
Période(s) de candidatures
Du 03/01/2023 au 30/06/2023
Pièces justificatives obligatoires
  • Lettre de motivation.

  • Tous les relevés de notes des années/semestres validés depuis le BAC à la date de la candidature.

  • Attestation de niveau d'anglais.

  • Curriculum Vitae.

  • Descriptif détaillé et volume horaire des enseignements suivis depuis le début du cursus universitaire.

Pièces justificatives complémentaires
Responsable(s) de la formation
Droits d’inscription

This master's program offers additional services. This program requires specific tuition fees in addition to the mandatory fees :