Nowadays, "Big Data" is presented as the new industrial revolution. In this context, the co-constructed Bachelor's degree in Data Science (Big Data) aims to equip students with in-depth skills in designing, optimizing, and implementing complex systems using the latest technologies in "Big Data" and data mining.
Students receive solid training in digital marketing, data analysis science through mathematical tools, and database management to exploit and leverage the vast amounts of data generated by individuals and businesses, and to propose new services.
- Algorithmics and Data Structures 1
- Operating Systems
- Logical Systems and Computer Architecture
- Analysis
- Statistics and Probability
- Management Principles
- General Accounting
- Digital Skills
- Web Development
- French
- English
- Algorithmics and Data Structures 2
- Foundations of Networks
- Introduction to Information Systems
- Mathematical Logic
- Algebra
- Accounting Information Systems
- Financial Management
- Socio-Cultural Activity
- Web Development
- French
- English
- Object-Oriented Programming
- Client-Side Framework Workshop
- Object-Oriented System Design
- Databases
- Inferential Statistics
- Foundations of AI
- Marketing
- Digital Economy
- IT Ethics and Laws
- Personal Professional Project (PPP)
- Managing a Web Page via a Database
- French
- English
- MOS Certification
- DBMS (Database Management Systems)
- Server-Side Framework Workshop
- TB Design and Scoring
- Operations Research
- IT Management (ERP, SCM, etc.)
- Software Engineering and CASE Tools
- Data Warehouse and e-CRM
- Big Data and Associated Architectures
- Cloud Servers: Administration and Security
- Advanced AI
- Python Programming
- French
- English
- ESB Certification
- Laws and Ethics of IT
- Data Analysis and Mining
- Monitoring Techniques
- Security and Access Control for Big Data
- Forecasting Techniques
- Data Visualization
- Web Development Framework
- ERP: Development and Customization
- NoSQL Databases
- French
- English
- PFE