Information and data system

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Program Overview

The program is delivered over four semesters. The final semester is entirely devoted to a project.

Teaching Language : French / English

Curriculum Highlights

Core Courses

Data Analysis

Modeling and Simulation

Operations Research and Combinatorics

Machine Learning

Logical Foundations of Computer Science

Digital Signal Processing

Databases

Algorithms and Distributed Systems

Formal Semantics and Program Analysis

A)     Data & Software Quality

·        Data and Software Security & Quality

·        Multidimensional Databases and Data Warehousing

·        Data Mining and Social Media Analytics

·        Multimedia Data Indexing and Retrieval

B)     Distributed Systems & Cloud

·        Cloud Computing

·        Grid Computing

·        Multi-Agent Systems

·        Big Data and Multi-Scale Systems

C)     Business Systems & Optimization

·        Industrial and Economic Optimization

·        Game Theory

·        Project Management

·        Business Processes and Workflow

D)    Web Technologies & Services

·        Ontology and Web Services

·        Web Services Development Approach

·        Spatial Information Systems

Advanced Topics

This program delves into cutting-edge research and applications at the intersection of data management, distributed systems, and enterprise technologies:

1. Data-Centric Systems & Analytics

·        Big Data & Multi-Scale Systems: Scalable architectures for heterogeneous data (OWS Big Data)

·        Multidimensional Databases & Data Warehousing: OLAP, ETL, and business intelligence

·        Data Mining & Social Media Analytics: Pattern discovery in complex datasets

·        Ontology & Semantic Web: Knowledge representation for Web Services

2. Cloud & Distributed Computing

·        Cloud Computing: IaaS/PaaS, serverless architectures, and hybrid cloud solutions

·        Grid Computing: High-performance distributed resource sharing

·        Multi-Agent Systems: Autonomous coordination in decentralized environments

3. Information Systems Security & Quality

·        Data & Software Security: Integrity, privacy, and compliance frameworks

·        Spatial Information Systems: Geodata management and secure spatial analytics

4. Enterprise Systems & Optimization

·        Industrial & Economic Optimization: Operations research with Game Theory applications

·        Business Processes & Workflow: BPMN, ERP systems, and digital transformation

·        Project Management: Agile/DevOps methodologies for IT projects

5. Web & Multimedia Technologies

·        Web Services Development: SOA, REST APIs, and microservices

·        Multimedia Data Indexing: Content-based retrieval for large-scale media

Admissions Information

Candidates applying for the Master in Information Systems and Data (ISD) must possess a recognized Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, or a closely related field."


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