Results 1 of 1 total

Your search criteria Study Type: Second cycle
Alter Search
Study Type (1)
Programme characteristics
Mode of admission
Degree
Modes of study
(elucidation)
kind of Master
Subject Groups
Areas of Study
Fields of Study
University & Regions
Type of Institution
Federal state

Subjects, Specialties, Faculties

Previous Degree Program Next Degree Program

Data Science

Add to Watchlist (Please login)

Quick Overview

  • University Harz University University of Applied Sciences
  • Degree Master
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission without admission restriction
  • Standard period of study (amount) 3 semesters
  • Study Mode (elucidation) full time; part time degree programmes for professionals
  • Location (main / branches campus) Wernigerode
  • Admission semester summer and winter semester
  • Subject

    Das 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.

     Business Administration

    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 Economics gehört zum Studienbereiche Economic Sciences der Fächergruppe Economic Sciences, Law.

    Weitere Informationen zum Studienbereich Economic Sciences.

    Weitere Informationen zur Fächergruppe Economic Sciences, Law.

     Economics

    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 Artificial Intelligence, Big Data, Change Management, Deep Learning, Ethics and Data Protection, Machine Learning, Scientific Work, Specialization in Insurance and Finance or Industry 4.0
  • Field of study
    • Target group With a pure or interdisciplinary degree in computer science, mathematics, physics, or statistics, you are well prepared for the requirements of the master's degree course in data science. But also a technical degree, a business administration or economics degree qualifies you for it. Missing Principles of computer science, mathematics or statistics can be made up individually. To this end, we coordinate learning agreements with you.
    • Main instruction language German
    • Further language(s) English
  • Access and Admission Requirements
    • Mode of admission without admission restriction
    • Admission semester summer and winter semester
    • With a pure or interdisciplinary degree in computer science, mathematics, physics, or statistics, you are well prepared for the requirements of the master's degree course in data science. But also a technical degree, a business administration or economics degree qualifies you for it. Missing Principles of computer science, mathematics or statistics can be made up individually. To this end, we coordinate learning agreements with you.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus
      (and other qualifications, provided that they are recognised as being equivalent)

      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, Mathematics
  • Programme Dates and Deadlines
  • Contact / contact person