Master Degree in Data science and business informatics

Course Details

  • icon icon Institute University of Pisa
  • icon icon Area Engineering, Humanities & Social Sciences
  • icon icon Sub Area Business, Humanities & Social Science, Engineering, Others
  • icon icon Category Postgraduate Programs
  • icon icon Course Master Degree in Data science and business informatics

  • icon icon Campus Pisa Campus
  • icon icon Next intake
  • icon icon Language English

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

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