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Data Science

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Quick Overview

  • University University of Marburg
  • Degree Master of Science
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission selection procedure / qualifying examination
  • Standard period of study (amount) 4 semesters
  • Study Mode (elucidation) full time
  • Location (main / branches campus) Marburg
  • Admission semester summer and winter semester
  • Subject

    Das Applied Mathematics gehört zum Studienbereiche Mathematics der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Mathematics.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Applied Mathematics

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

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Computer Science

    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 Big - Data Technology, Machine Learning, Scientific Computing, Software Development of Scalable Systems, Statistical Data Analysis (Analytics)
  • Field of study
    • Target group Graduates with proof of completion of a specific Bachelor's programme in Data Science or proof of a comparable domestic or foreign higher education degree with professional qualification.
    • kind of Master course according to the KMK consecutive
    • Main instruction language English
    • Further language(s) German
    • Annotation of the Higher Education Institution The project-oriented study programme in the Master's degree programme Data Science consists of specialisations in computer science, e.g. in the fields of data mining, algorithms or data management, and in the mathematical area of the programme from one of the main focuses Analytics or Scientific Computing.

      The aim is in particular to intensify independent scientific work.

      In addition to various in-depth modules from areas of computer science, e.g. in machine learning, software development of scalable systems and big-data technology, which can be combined according to individual interests, you will choose a mathematical focus in the area of statistical data analysis (Analytics) or scientific computing.
    • Course Website
  • Access and Admission Requirements
    • Mode of admission selection procedure / qualifying examination
    • Admission semester summer and winter semester
    • https://www.uni-marburg.de/de/studium/studienangebot/master/m-datasc
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus
      (and other qualifications, provided that they are recognised as being equivalent)
  • University-wide Dates and Deadlines
    • Sommersemester 2026
      • Lecture period
      • 13.04.2026 — 17.07.2026
        Die Semestertermine finden Sie hier: https://www.uni-marburg.de/de/studium/im-studium/semestertermine
    • Wintersemester 2025/2026
      • Lecture period
      • 13.10.2025 — 13.02.2026
        Die Semestertermine finden Sie hier: https://www.uni-marburg.de/de/studium/im-studium/semestertermine
  • Tuition Fee
    • Annotation to the tuition fee There are currently no tuition fees in the state of Hesse!
  • Contact / contact person
    • International Students and applicants are kindly requested to contact the International Office:
    • Referat für Internationalsierung und Wissenschaftliche Kooperationen / International Office
    • Street address Deutschhausstrasse 11 + 13, 35037 Marburg
    • international(at)uni-marburg.de
    • Internetpage of the institution
    • Contact / contact person for this program
    • Bezeichnung Kontaktstelle Philipps-Universität Marburg Fachbereich Mathematik und Informatik
    • Contact person Prof. Dr. Christin Seifert
    • Street address Hans-Meerwein-Straße 6, 35032 Marburg
    • Phone 06421 / 28-25460
    • Zentrale Allgemeine
      Studienberatung (ZAS)
    • Street address Biegenstraße 10, 35037 Marburg
    • Phone 06421 28-22222
    • Fax 06421 28-26037
    • zas(at)uni-marburg.de
    • Internetpage of the institution

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