Master programme — Computer Science (SIGLIS / Industry 4.0), M2
Course: Business Intelligence / Business Analytics
Responsible: E. Exposito — ernesto.exposito@univ-pau.fr
Keywords — BI · BA · architectures · Machine Learning · Big data
Credits — 2 ECTS (paired UE with Semantic Web = 4 ECTS total) · English · hybrid
Prerequisites — Data collection/processing/analysis · DBMS · knowledge representation · Python or Java.
Learning outcomes
| Competence | Bloom |
|---|---|
| Understand BI/BA foundations: motivation, benefits, architectures and strategies; Big data challenges | Understand |
| Design and deploy enterprise Business Intelligence architectures | Create |
| Develop BI/BA strategies (collect/integrate, curate/transform, process, visualise) | Create |
Assessment — 100% CC: 60% written · 20% oral · 20% lab (online exam, case studies, project).
- Enseignant: Ernesto Exposito Garcia