ESST

Master Big Data

Within the LMD (Bachelor's, Master's, Doctorate) system, the Master's in Big Data Analytics is designed to train experts capable of managing, analyzing, and leveraging vast datasets. This program offers a balance between theory and practice, enabling students to master advanced techniques in data analysis, machine learning, and Big Data infrastructure management.

General organization of the training

The course spans two years and consists of specialized modules, supplemented by practical projects and an internship in a company:

Year 1:
– Semester 1:
– Introduction to Big Data
– Foundations of data analysis
– Programming for Big Data (Python, R)
– Advanced databases

– Semester 2:
– Statistics and probabilities for Big Data
– Machine learning algorithms
– Big Data Project Management
– Data security and ethics

2nd year:
– Semester 3:
– Data engineering (ETL, data pipelines)
– Data visualization
– Predictive analytics and modeling
– Cloud computing and Big Data

– Semester 4:
– Final year project

Sectors of activity and career opportunities

Graduates of the Master's program in Big Data Analytics are highly sought after in the job market. They can work in various sectors, such as:
– Data Scientist
– Data Analyst
– Big Data Engineer
– Data Consultant
– Big Data Solutions Architect