Big-Data Post-Graduate Program - Semester 9

Courses and group of courses name

ECTS

hours per student

Big-Data Post-Graduate Program

Sciences Courses
Statistical Learning & Data Mining - WMMBEADM	3.5	30.0
Information Access: from Data Web to Semantic Web - WMMBEAI5	3.0	24.0
- WMMBEBES	1.0	10.0
Large-Scale Data Storage and Management - WMMBEDGE	3.5	39.0
Introduction to Unix - WMMBEIU	0.0	1.5
Distributed Systems & Cloud Architectures - WMMBESDC	2.5	18.0
Data Science: Algebrical & Statistical Fundamentals - WMMBESDF	4.0	36.0
Computer Security & Confidentiality - WMMBESEC	2.5	24.0
Information Visualisation - WMMBEVI5	2.5	18.0
Project : Presentation - WMMBGCF6	0.0	2.0

Humanities Courses
Professional Case - WMMBGCF5	10.0	20.0
Service Value Creation - WMMBGCV5	2.5	24.0
Ethics - WMMBGETH	2.0	18.0
Strategic Management - WMMBGGS5	3.5	36.0
Ressource Management - WMMBGM5	1.5	24.0
Manager, digital & law - WMMBGMD7	2.0	18.0
New Management Techniques - WMMBGNT8	3.0	24.0
Decision Process - WMMBGPPD	3.0	36.0

Engineering Courses
English - 5MMANGL6	3.0	12.0

Update - 07/07/2025

https://ensimag.grenoble-inp.fr/fr/formation/big-data-post-graduate-program-semester-9-2