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Data Science

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  • University University of Augsburg
  • Degree Master
  • 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) Augsburg
  • 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 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

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

    Weitere Informationen zum Studienbereich Mathematics.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Statistics

  • Areas of Concentration Algorithms and Data Engineering, Computer Vision, Deep Learning, High-Dimensional Probability; Ethics and Computer Science, Machine Learning, Mathematical Methods, Mathematical Modelling; Statistics, Natural Language Understanding, Process Mining, Quantum Algorithms
  • Field of study
    • Target group The degree course is aimed at students with a BSc degree in Data Science, Computer Science, Mathematics or related fields.
    • kind of Master course according to the KMK consecutive
    • Main instruction language English
    • Further language(s) German
  • Access and Admission Requirements
    • Mode of admission selection procedure / qualifying examination
    • Admission semester summer and winter semester
    • Admission is based on an aptitude procedure, which is laid down in Section 4 and Annex I of the examination regulations. This requires, among other things, an average grade of 2.70 or better in the previous BSc degree programme.
      Furthermore, proof of the following knowledge from the Bachelor’s degree is expected:
      - Multidimensional Analysis (at least 5 CP ECTS)
      - Abstract Structures of (Linear) Algebra (at least 5 CP ECTS)
      - Basics of an Advanced Programming Language (at least 4 CP ECTS)
      - Practical Programming (at least 4 CP ECTS)
      - Algorithms or Numerical Procedures (at least 5 CP ECTS)
      - Discrete Structures, Databases or Data Engineering (at least 5 CP ECTS)
      -Data Science or Machine Learning (at least 4 CP ECTS)
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus
      (and other qualifications, provided that they are recognised as being equivalent)

      Minimum requirements for first university degree:
      • Minimum grade: 2.70
      • Minimum number of semesters: 1 semesters
      • Minimum standard period of study: 6 semesters
      • Required ECTS credits: 180

      For this degree programme, you should have gained your first university qualification in one of the following subjects groups or areas of study:
      • Area of study: Computer Science, Mathematics
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • Cambridge (English): English Language Assessment B2 First
      • IELTS (English): mindestens 5.0
      • TOEFL IBT (English): mindestens 72 Punkte
      • UNIcert (English): II Englisch
      • Other English language certificates: Abitur in Deutschland, Vollständiges Bachelor-Studium auf Englisch
    • Further admission requirements Eignungsfeststellung durch Nachweise von Kenntnissen im Bewerbungsverfahren
  • Programme Dates and Deadlines
    • Sommersemester 2026
      • Lecture period
      • 13.04.2026 — 17.07.2026
        Die Lehrveranstaltungen fallen innerhalb des Semesters aus: 01.05.2026 (Tag der Arbeit) 14.05.2026 (Christi Himmelfahrt) 25.05.2026 (Pfingstmontag) 26.05.2026 (Dienstag nach Pfingsten) 04.06.2026 (Fronleichnam)
        • Application Deadline for Aptitude Test Studiengangspezifische Zulassungsvoraussetzungen und Bewerbungsfristen entnehmen Sie bitte den entsprechenden Internetseiten: https://www.uni-augsburg.de/de/fakultaet/fai/informatik/studienangebot/msc-dsc/
    • Wintersemester 2025/2026
      • Lecture period
      • 13.10.2025 — 06.02.2026
        Die Lehrveranstaltungen fallen innerhalb des Semesters aus: 01.11.2025 und 24.12.2025 bis 06.01.2026 (Weihnachtsferien)
        • Application Deadline for Aptitude Test Studiengangspezifische Zulassungsvoraussetzungen und Bewerbungsfristen entnehmen Sie bitte den entsprechenden Internetseiten: https://www.uni-augsburg.de/de/fakultaet/fai/informatik/studienangebot/msc-dsc/
  • Tuition Fee
  • Contact / contact person

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