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Your search criteria Study Type: Second cycle

Computer Science

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Quick Overview

  • University Furtwangen University - computer science, technology, economics, media, health
  • Degree Master of Science
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission local admisssion restriction
  • Application Deadline for Beginning Students 15.01.2026
    Bitte informieren Sie sich auf unserer Webseite.
  • Standard period of study (amount) 3 semesters
  • Study Mode (elucidation) full time
  • Location (main / branches campus) Furtwangen
  • Admission semester summer and winter semester
  • Subject

    Das Applied 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.

    Applied Computer Science

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

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Artificial Intelligence

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

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Computer Engineering

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

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Software Engineering

  • Areas of Concentration Artificial intelligence (AI), Big Data Applications, Cloud Computing, Distributed Systems, Information Systems, Machine Learning, Middleware, Software Development, Software Engineering, Software Engineering
  • Field of study
    • Target group Graduates of a Computer Science degree.
    • kind of Master course according to the KMK providing further education
    • Main instruction language German
    • Further language(s) English
    • Digital teaching and learning units E-Learning, Blended Learning
    • Annotation of the Higher Education Institution MASTERING COMPLEX IT
      In the Master's degree programme, you will learn how to master complex IT challenges. You will deepen advanced methods of software engineering, learn to apply practical solutions in the field of distributed systems and implement them using scientific methods.
      Early on, you will have the opportunity to work in various research areas:
      - Cloud and cloud native computing
      - IT Security
      Software Engineering
      - Artificial intelligence (AI)
      - Machine learning and technologies for big data applications

      The consistent practical orientation and elective options allow you to develop your individual focus of study.

      ALSO CAREER-INTEGRATED
      The Master's degree can also be completed part-time by arrangement.
    • Course Website
  • Access and Admission Requirements
    • Mode of admission local admisssion restriction
    • Admission semester summer and winter semester
    • - An above-average professionally qualifying certificate of academic degree in the field of Computer Science. For
      applications with fewer than
      210 credit points according to ECTS, reference is made to the study and examination regulations for Master's degree courses of
      HFU.
      - Language skills to be proved: Applicants whose native language is not German
      must prove good German language skills that qualify for the degree course (at least level
      GFL TDN 4, CEFR B2.2, OLD level 4 or equivalent). Applicants whose native language is
      German are excluded from proving their language skills.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus, Diplom, Magister, Master

      Minimum requirements for first university degree:
      • Required ECTS credits: 210
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • ALTE (English): 4
      • Other English language certificates: DaF TDN4; CEFR B2.2
    • Further admission requirements Application letter / personal statement , CV
  • Programme Dates and Deadlines
  • Contact / contact person

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