Data & Knowledge

⚠️ Attention : cette formation ne semble actuellement plus dispensée ⚠️

Dernière mise à jour : 
Master II
Scolarité : 
 € par an
The Data & Knowledge program is a second year master program (“M2”) in computer science at the University Paris-Saclay in Paris, France. It is concerned with Web data management, knowledge & semantics, big data, and data analytics from a semantic point of view. The program is held in English (even if the "programmes" on the left say otherwise).

The curriculum brings together a variety of subjects from the fields of data management, knowledge management and knowledge engineering, and machine learning, and data mining. Topics include system design and architecture, storage, indexing and optimization, data analytics, knowledge representation and reasoning, semantic interoperability, and data mining, all with a special focus on processing very large amounts of data.

The unique combination of these disciplines distinguishes us from the other M2 tracks that focus either on data management or machine learning and data mining. Another key feature is that the Data&Knowledge track is in English.

The program will allow you to

  • look under the hood of technologies that big data players such as Google, Twitter, and Facebook leverage
  • learn the principles of semantic data representation, which makes machines “understand” data
  • understand how machines (and humans) reason on data
  • discover different types of data in a variety of applications, such as bioinformatics, social media, and the Web

The Data&Knowledge track will prepare students for careers as information management professionals or data-savvy IT generalists, or for research in areas related to discovery and management of very large data and knowledge. Potential carreers include : IT executives in businesses, careers in research and development in universities and private research, IT careers in large companies and start-ups. Targeted job profiles are Software Engineer, Data Scientists, Data Analysts, Data Engineers, Software and System Architects, Quality Engineers, Project Managers, Engineers, or Researchers.

Semestre 3

Mandatory courses

Web Data Models

Data Warehousing

Machine Learning and Data Mining

Big Data Processing

Novel Architectures for Big Data Analytics

6 optional courses

Knowledge Base Construction

Natural and Artificial Intelligence

Information Integration

Social and Uncertain Data Management

Dynamic Content Management

Data Mining Theory and Practice

Managing Very Large Data and Knowledge in Bioinformatics

IoT Big Data Stream Mining

New trends in Data&Knowledge

S4 - Semestre 4

Softskills Seminar

Introduction to Research and Business

6 month master thesis project

Lieux d'enseignement