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Artificial Intelligence and Data Science for Digital Business Management

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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
  • Beginning Students First-year students can only apply or register for the summer semester.
  • Standard period of study (amount) 3 semesters
  • Study Mode (elucidation) full time
  • Location (main / branches campus) Furtwangen
  • Admission semester summer semester
  • Subject

    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 Engineering and Management gehört zum Studienbereiche Engineering and Management der Fächergruppe Engineering Sciences.

    Weitere Informationen zum Studienbereich Engineering and Management.

    Weitere Informationen zur Fächergruppe Engineering Sciences.

    Engineering and Management

    Das International Business Administration gehört zum Studienbereiche Economic Sciences der Fächergruppe Economic Sciences, Law.

    Weitere Informationen zum Studienbereich Economic Sciences.

    Weitere Informationen zur Fächergruppe Economic Sciences, Law.

    International Business Administration

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

    Weitere Informationen zum Studienbereich Mathematics.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Mathematics

  • Areas of Concentration Agile Project Management & Design Thinking, Artificial Intelligence & Deep Learning, Business Intelligence for Big Data & MLOps, Business Operations & Logistics, Digital Performance Marketing & Automation, eCommerce, CRM & Lead Management, Electives, IT Architectures, Cloud & IT Management, Machine Learning & Applied Statistics, Programming & Software Engineering
  • Field of study
    • kind of Master course according to the KMK providing further education
    • Main instruction language English
    • Digital teaching and learning units Blended Learning
    • Annotation of the Higher Education Institution Excellent career and salary prospects in Germany and worldwide. Most of our students receive job offers before they get their academic degree.

      AI is revolutionizing and driving the new business era. Our graduates are sought-after experts who understand both the technology and the economic aspects. You will benefit from a strong and growing job market in Germany and a solid salary level.

      This Executive Master's degree programme uniquely positions graduates at the interface between innovative IT and digital business management. Typical professions are Data Scientist, Business Analyst, AI Consultant, AI Project Manager, Digital Business Developer, Digital Business Consultant, E-Commerce Manager, Performance Marketing Manager and IT System Administrator.

      Companies value our graduates because they can quickly make themselves useful with a wide range of applicable knowledge. The hybrid form of the lectures supports the flexibility and mobility of our students to accept a working student position and continue their studies wherever the company is located.

      Our international students and graduates work in world-leading companies such as Accenture, EY, KPMG, PWC, Deloitte, IBM, HP, SAP, Oracle, Vodafone, eBay, Amazon, Lufthansa, TUI, Expedia, Trivago, Audi, Porsche, Mercedes-Benz, Hugo Boss, Bosch, Siemens, Aldi and Lidl.

      Prof. Dr. Pavel Rawe, PhD
      Dean of Studies International Business Information Systems (BSc.) (IBS)
      Consultation hours: Appointment lists for booking office hours are posted on Prof. Rawe's office door - Building I, Room 2.09 No appointments are given online, by telephone or by email.
    • Course Website
    • Akkreditierungsrat Logo
      Link to the programme in the Accreditation Council database
  • Access and Admission Requirements
    • Mode of admission local admisssion restriction
    • Admission semester summer semester

    • 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:
      • Required ECTS credits: 210

      For this degree programme, you should have gained your first university qualification in one of the following subjects groups or areas of study:
      • Subject group: Mathematics, Natural Sciences
      • Area of study: Computer Science, Economic Sciences, Engineering and Management, Mathematics
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • Cambridge (English): B2
      • IELTS (English): 5,0-6,5
      • TOEFL IBT (English): 87-109
      • Other English language certificates
    • Required practical experience In addition to completing your first university degree, you need the following practical experience to be admitted onto this degree programme:
      • 1 year Work experience
    • Further admission requirements Application letter / personal statement , CV
  • University-wide Dates and Deadlines
  • Tuition Fee
  • Contact / contact person

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