Big Data Management and Analytics

Explore the programs and courses offered by Big Data Management and Analytics

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Program Overview

The Master's program in Big Data Management and Analysis trains specialists in processing, exploiting, and interpreting large-scale data. Courses cover the fundamentals of big data, advanced databases, machine learning algorithms, and information system optimization.

Tutorials focus on statistical analysis, data visualization, and the development of applications leveraging distributed infrastructures such as Hadoop and Spark. Practical work allows students to handle real datasets, implement predictive models, and optimize analytical system performance across various fields, including finance, healthcare, and industry.

Teaching Language : French

Curriculum Highlights

Core Courses

  • Introduction to Linear Models
  • Introduction to Data Mining
  • Combinatorial Optimization
  • Cloud Computing
  • NoSQL Databases
  • Computer Security
  • Introduction to Data Science: Big Data

Advanced Topics

Advanced topics include optimizing machine learning algorithms for predictive analysis, processing unstructured data from social networks and IoT sensors, as well as cybersecurity and data protection in large-scale environments.

The program also covers data engineering and the implementation of distributed architectures for large-scale storage and computing. With these skills, graduates are prepared for key roles in data science, information systems engineering, and digital innovation management.

Admissions Information

Access to the program is primarily intended for holders of a bachelor's degree in computer science.

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