M2 Big Data Management and Analytics (BDMA)
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.
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.
Digital Transformation Leader, Data Scientist, System Analyst, Data Specialist, and Data Administrator
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 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.
|[BDMA] Visual Analytics II||2.5||12||12|
|[BDMA] Visual analytics I||2.5||12||12|
|[BDMA] Massive Graph Management and Analytics II||2.5||12||12|
|[BDMA] Massive Graph Management and Analytics||2.5||12||12|
|[BDMA] Machine Learning II||2.5||12||12|
|[BDMA] Machine Learning I||2.5||12||12|
|[BDMA] French Language and European Culture||2.5||24|
|[BDMA] Decision Modeling II||2.5||12||12|
|[BDMA] Decision Modeling I||2.5||12||12|
|[BDMA] Business Innovation Management||2.5||16||6|
|[BDMA] Big Data Research Project||5||4||4||40|
From 01/09/2020 to 15/09/2020
Curriculum EU (description of the units of education followed) of the last two years.
Certificate of English level.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on https://www.universite-paris-saclay.fr/en/admission/apply-master-programmes.
Certificate of English level (compulsory for non-English speakers).
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
This master's program offers additional services. This program requires specific tuition fees in addition to the mandatory fees : https://www.universite-paris-saclay.fr/en/admission-help/tuition-fees