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Data Science

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Quick Overview

  • University West Saxon University of Applied Sciences of Zwickau
  • Degree Bachelor of Science
  • Degree Bachelor of Science, B.Sc.
  • Study Type Undergraduate
  • Mode of admission without admission restriction
  • Beginning Students First-year students can only apply or register for the winter semester.
  • Standard period of study (amount) 7 semesters
  • Study Mode (elucidation) full time; part time
  • Location (main / branches campus) Zwickau
  • Admission semester winter semester
  • Subject

    Das Data Science gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Data Science

  • Areas of Concentration Computer Science, Databases, E-Commerce, Machine Learning / Artificial Intelligence, Mathematics, Python and Pandas, Statistics
  • Field of study
    • Main instruction language German
    • Annotation of the Higher Education Institution Digital progress is fundamentally changing the way we live and generate wealth. This also applies to the foundations of our value creation processes, in which data becomes a central raw material and data-based business models develop into a basis for all branches of industry. Above all, the continuous flow of data decides on the use of new trends, innovations and research opportunities. The use and evaluation of data and data streams are the drivers of progress in all sectors - be it with regard to industry, mobility, energy, education or healthcare. More and more forms of data are available to us: In industry - through consistent monitoring and conversion of processes, in research - through new evaluation methods and modern observation of phenomena and developments, but also in private life, where developments such as smart homes become the norm. The targeted storage and evaluation of this data has great value creation potential for companies.

      Even today, anonymised data evaluations are used to treat serious diseases such as cancer more precisely and to give people better, individual chances of recovery. This requires corresponding data stocks that can be made accessible to an evaluation for the common good and are evaluated by new analysis methods such as the rapidly developing data sciences.
    • Course Website
    • Akkreditierungsrat Logo
      Link to the programme in the Accreditation Council database
  • Access and Admission Requirements
    • Mode of admission without admission restriction
    • Admission semester winter semester
    • Higher education entrance qualification (Abitur, Fachhochschulreife, upgrading qualification, successful entrance examination, etc.)
      more information regarding admission requirements
  • Programme Dates and Deadlines
  • Tuition Fee
    • Annotation to the tuition fee No tuition fees
  • Contact / contact person

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