Academic curricular in Data Sciences (program)
First semester (S9) - (30 ECTS)
• Research methodology and case study
• Conferences and invited courses
• Data economics, law and ethics
• Data dependencies and data integration
• Visual analytics
• Pattern mining and social network analysis
• Text and sequential pattern mining
• Clustering analysis and indexing
• Classification and representation learning
• Probabilistic graphical models
• Semantic knowledge representation
Second semester (S10) - (30 ECTS)
- Internship - Master's thesis