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 Leuphana University Lüneburg
  • Degree Master of Science
  • Study Type Second cycle
  • Mode of admission local admisssion restriction
  • Beginning Students First-year students can only apply or register for the winter semester.
  • Standard period of study (amount) 3 semesters
  • Study Mode (elucidation) part time degree programmes for professionals
  • Location (main / branches campus) Lüneburg
  • Admission semester 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 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

    Das Information Systems and Management gehört zum Studienbereiche Computer Science der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Computer Science.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

     Information Systems and Management

    Das Theoretical 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.

     Theoretical Computer Science

  • Areas of Concentration Big Data, Data Analytics, Databases, Data Economy, Data Mining, Data Privacy, Deep Learning, Machine Learning, Probabilistic Models
  • Field of study
    • Target group Specialists and managers who work (want to) in data-intensive company areas and want to further develop their methodological skills in the field of data science
    • 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 The advancing digitisation brings huge amounts of data with it, which must be generated and processed in the company on a daily basis. This requires data specialists who can make targeted decisions and derivations based on this data. The career-integrated Master Data Science provides students with methodological knowledge in the field of Data Analysis in order to exploit the potential of this data. Graduates have a wide range of career opportunities in a future-oriented industry.

      In addition, the certificate "Data Analystics" can be acquired. In three modules you will acquire basic knowledge in the field of statistics, programming with Python and applied data analysis
    • Course Website

    • Link to the Higher Education Institution ranking at CHE
  • Access and Admission Requirements
    • Mode of admission local admisssion restriction
    • Admission semester winter semester
    • First university degree (Diploma, Master, Bachelor or at least equivalent qualification), at least one year of relevant professional experience after the first professionally qualifying university degree (e.g. a full-time or freelance employment relationship) and knowledge of English
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus, Magister (Masterstudiengang), Diplom, Diplom (FH), Magister, Master
      (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: all subject groups, All subject groups
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • Cambridge (English): Cambridge First Certificate of English (FCE) mit Grade C oder besser
      • IELTS (English): mindestens 5.5
      • TOEFL IBT (English): mindestens 80 Punkte
      • TOEIC (English): mindestens 750 Punkte
    • 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 in the field of relevant professional experience
  • University-wide Dates and Deadlines
  • Tuition Fee
    • Tuition fee 19.800 EUR / gesamt
      more information regarding tuition fees
    • Annotation to the tuition fee The total cost of the career-integrated Master Data Science amounts to 19,800 euros plus semester fees. You can find information on fees and financing for career-integrated studies at www.leuphana.de/ps-finanzierung.
  • Contact / contact person