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