This degree program aims to train students capable of analyzing big data and the decision-making dynamics of modern organizations. It prepares profiles suited to evolving in a constantly changing digital environment, providing them with an in-depth understanding of decision support systems, data analysis tools, and data-driven strategies applied to business performance.
Training Objectives
Skills Acquired
- An approach combining theoretical foundations and practical case studies in data analysis and decision support systems.
- Implementation of applied projects in the fields of data mining, data visualization, and decision support.
- Opportunities to pursue further studies at the Master's level (professional or research-oriented).
- Guidance and supervision provided by both university lecturers and industry professionals.
- Possible participation in hackathons, technology seminars, and decision-making analysis simulations.
Access requirements
Le parcours est accessible aux titulaires d’un baccalauréat :
- Economics and Management
- Computer Science
- Mathematics
- Experimental Sciences
- Technique
L’admission se fait sur étude du dossier.
Career Opportunities
Graduates of this degree program can access a wide range of careers in the public sector, private sector, or within organizations, including:
- Business Intelligence Analyst
- Data analyst within companies or national/international institutions
- Data Strategy and Reporting Manager
- Project Manager in Decision Support Systems
- BI Manager or Data Project Manager
- Data Visualization and Dashboard Specialist
- Data-Driven Decision Support Consultant
- Data Administration and Performance Manager
- Continuation into Academic or University Research
Study Plan
| Semester 1 | Semester 2 |
|---|---|
| Algorithms and Data Structures | Algorithms and Data Structures |
| Operating Systems / Digital Logic and Computer Architecture | Network Fundamentals / Introduction to Information Systems |
| Calculus / Statistics and Probability | Mathematical Logic / Algebra |
| Management Principles / General Accounting | Accounting Information Systems / Financial Management |
| Study Skills 1 / Professional French 1 / Digital Skills | Study Skills 1 / Professional French 2 / C2I |
| Event-Driven Programming / Open Source Software (opt.) | Digital Business Transformation / Problem-Solving Strategies (opt.) |
| Semestr 3 | Semestre 4 (Parcours Business Intelligence) |
|---|---|
| Object-Oriented Programming / Web Programming I | Data Analysis and Mining / Web Programming II |
| Object-Oriented Information Systems Design / Databases | Graph Theory and Operations Research |
| Inferential Statistics / Foundations of AI | Software Engineering Workshop / Software Architecture |
| Digital Marketing / Digital Economy | DBMS / Multidimensional Modeling and Data Warehousing |
| Personalized Professional Project / Professional French 3 / English 2 | Personal and Professional Skills Development / English 3 / Entrepreneurial Culture 1 |
| Systems and Data Integration / Graph Theory and Optimization (opt.) | BI and Data Analytics / Internet User Behavior Analysis (opt.) |
| Semestre 5 (Parcours Business Intelligence) | Semestre 6 (Parcours Business Intelligence) |
|---|---|
| Forecasting Techniques / Foundations of Decision Theory | Final Year Project (FYP) |
| Introduction to Big Data and Cloud / Mobile Development | |
| IT Security / Information Technology Management | |
| Dashboard Design and Scoring / Advanced BI Programming Language | |
| Career Preparation / Entrepreneurial Culture 2 / Psychology & Sociology for Online Media Applications | |
| Blockchain / Electronic Payments (opt.) |
