Program architecture of the BSc Data Science
Program architecture for the academic year
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It is possible to validate this diploma by blocks of competencies
1st year
Mathematics & Computer Science Fundamentals | Fundamentals of Responsible Business.
- Calculus 1 (real analysis, linear algebra)
- Probabilty
- Fundamentals of Computer Programming
- Fundamentals of Computer Algorithmics
- Calculus 2 (multivariate calculus, optimization)
- Statistics
- Introduction to Data Analysis
- Introduction to Management
- Introduction to Economics
- Sustainable Project Management
2nd year
Data Science | Technologies of AI. Business Practice | Corporate Social Responsibility
- Numerical Methods for Optimization
- Statistical Learning
- Machine Learning for Business
- CSR & AI for Society
- AI Culture
- Big Data
- Deep Learning
- Agile Sofware Engineering
- Web & AI Tools
- Marketing & Managerial Finance
3rd year
Advanced Language Models | Modern Trends in AI | Digital Business | Corporate Law
- AI Responsible Mission 1
- Natural Language Processing
- Modern Trends in AI
- NLP & NLU for Business
- Digital Advances for Business
- Digital Marketing and Personalization for Brand Management
- Deep Learning Projects
- Organizational Behaviour & Strategy
- Responsible Algorithmics
- Corporate Law
4th year
Research Mission | Tech Seminars | Innovation | Human & Machine Cognition
- AI Responsible Mission 2
- Tech Workshop Series
- Research Mission - Techno Watch
- Managing Innovation
- Machine & Human Cognition
- Licence Thesis