About Course

• 2 Years
• Full-time | 120 ECTS  

• Course structure diagram w/credits

  Track Data Science and Business Informatics

  Year 1 

  • Business process modeling
  • Data mining
  • Decision support databases
  • Logistics

  Group GR2 - Choice from:

  • Auditing and management control
  • Business administration
  • Business management
  • Business organization
  • Cost analysis and management
  • Decisions, complexity and conflicts
  • Economics of financial markets
  • Law and computer science
  • Legal issues in data science
  • Management control
  • Marketing research
  • Model-driven decision-making methods
  • Network optimization
  • Statistical methods for data science
  • Strategic and competitive intelligence

  Group GR3 - Choice from:

  • Algorithms and Data Structures for Data Science
  • Auditing and management control
  •  Business administration
  • Business management
  • Business organization
  • Cost analysis and management
  • Database programming
  • Databases
  • Decisions, complexity and conflicts
  • Economics of financial markets
  • Law and computer science
  • Legal issues in data science
  • Management control
  • Marketing research
  •  Mathematical programming
  • Model-driven decision-making methods
  •  Network optimization
  • Programming for data science
  • Software Engineering
  • Statistical methods for data science
  • Strategic and competitive intelligence

  Year 2

  • Free choice
  • Laboratory of data science
  • Thesis

  Group GR1 - Choice from:

  • Advanced databases
  • Big data analytics
  • Distributed Data Analysis and Mining
  • Information retrieval
  • Machine learning
  • Programmatic advertising
  • Social network analysis
  • Technologies for web marketing
  • Text analytics
  • Visual analytics