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Data Science in Business and Economics, Master

  • University: Eberhard Karls Universität Tübingen
  • Place of study, location: Tübingen
  • Degree: Master, Master of Science
  • Target degree: Data Science is a vibrant, interdisciplinary and rapidly growing field. Data scientists must be able to acquire and understand complex and unstructured data, they must be able to interpret the meaning of the results, and they must be able to communicate the results to relevant stakeholders. Hence, Data Science requires a unique combination of (1) econometrics and statistics, (2) programming skills, and (3) domain knowledge. This four-semester M.Sc. program reflects these requirements for a unique skill set, and students who enrol in this programme specialize in econometrics and they select from a broad set of modules on different aspects of business and economics. On top of that, they enrol in modules on data science techniques, which includes programming in R and python as well as the possibility to enrol in courses in Machine Learning in collaboration with the computer science department. Areas of Specialization Econometrics Data Science Techniques Business and Economics
  • Admission term: Start: Wintersemester Wintersemester
  • Duration: 4 semester
  • Master's type according to the Conference of Ministers of Education : consekutive
  • Modes of study: full time; international course
  • Teaching language: English
  • More information: University of Tübingen

Data Science in Business and Economics, Master

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  • University: Eberhard Karls Universität Tübingen
  • Place of study, location: Tübingen
  • Degree: Master, Master of Science
  • Target degree: Data Science is a vibrant, interdisciplinary and rapidly growing field. Data scientists must be able to acquire and understand complex and unstructured data, they must be able to interpret the meaning of the results, and they must be able to communicate the results to relevant stakeholders. Hence, Data Science requires a unique combination of (1) econometrics and statistics, (2) programming skills, and (3) domain knowledge. This four-semester M.Sc. program reflects these requirements for a unique skill set, and students who enrol in this programme specialize in econometrics and they select from a broad set of modules on different aspects of business and economics. On top of that, they enrol in modules on data science techniques, which includes programming in R and python as well as the possibility to enrol in courses in Machine Learning in collaboration with the computer science department. Areas of Specialization Econometrics Data Science Techniques Business and Economics
  • Admission term: Start: Wintersemester Wintersemester
  • Duration: 4 semester
  • Master's type according to the Conference of Ministers of Education : consekutive
  • Modes of study: full time; international course
  • Teaching language: English
  • More information: University of Tübingen

  • Disciplines
    Business Administration
  • Lecture period
    18.10.2021 - 12.02.2022
  • Application deadline for subjects with restricted admission
    01.06.2021 - 31.07.2021
  • Registration deadline for subjects without admission restrictions
    01.06.2021 - 30.09.2021
  • Application deadline for EU foreigners
    01.06.2021 - 31.07.2021
  • Application deadline for non-EU foreigners
    01.06.2021 - 31.07.2021
  • The information about the universities and their degree programmes are generated by accessing the Hochschulkompass at the HRK.
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