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Computer Science - Big Data and Artificial Intelligence

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Quick Overview

  • University SRH University of Applied Sciences Heidelberg
  • Degree Master of Science (M.Sc.)
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission without admission restriction
  • Deadline for Beginning Students An der SRH University können Sie sich jederzeit bewerben.
  • Standard period of study (amount) 4 semesters
  • Study Mode (elucidation) full time; international course
  • Location (main / branches campus) Berlin, Leipzig
  • 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 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

  • Areas of Concentration Artificial Intelligence, Big Data, Cloud Computing, Machine Learning, Programming, Software Development
  • Field of study
    • Target group Graduates of Computer Science and Natural Sciences with sufficient Mathematics and Statistics skills
    • Main instruction language English
    • Annotation of the Higher Education Institution Our degree program offers you a computer science education that includes classical modules such as software development and programming, but also provides specialised knowledge in the field of Big Data and Artificial Intelligence.

      You learn about the latest big data technologies and how to implement AI and machine learning tools in companies and the business environment. In addition to technological expertise, the practice-oriented curriculum helps you to specialise your analytical, business and soft skills in various projects and internships.
    • Course Website

    • Link to the Higher Education Institution ranking at CHE
  • Access and Admission Requirements
    • Mode of admission without admission restriction
    • Admission semester summer and winter semester
    • To apply for the Master’s degree programme in Computer Science – Big Data and Artificial Intelligence, you will need:

      - University or university of applied sciences degree (Bachelor’s or Diploma degree) in computer science and related disciplines
      – Letter of motivation
      - Certificate of general or subject-specific higher education entrance qualification
      - Proof of command of English
      - Curriculum vitae with current passport photo
      - Copy of identity document (front and back), copy of passport or national identity card for foreign students
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus, Diplom, Diplom (FH)
      (and other qualifications, provided that they are recognised as being equivalent)

      Minimum requirements for first university degree:
      • Minimum standard period of study: 3 year(s)
      • 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
    • Required language skills
    • Required minimum language skills that must be proven by passing one or more of the following language tests:
      • Cambridge (English): A, B oder C
      • IELTS (English): 6,5
      • TOEFL IBT (English): 87
      • TOEIC (English): Listening/Reading 785, Speaking 160, Writing 150
      • Other English language certificates: Pearson English Test Academic (PTE-A): 59 Punkte
    • Further admission requirements Consultation, Application letter / personal statement , CV
  • Programme Dates and Deadlines
  • Tuition Fee
    • Tuition fee 750 EUR / Monat
      more information regarding tuition fees
    • Annotation to the tuition fee Berlin
      EU/EEA (incl. Western Balkans, Switzerland and Ukraine): EUR 790/month
      Non-EU/EEA: EUR 6,800/semester

      Leipzig
      EU/EEA (incl. Western Balkans, Switzerland and Ukraine): EUR 750/month
      Non-EU/EEA: EUR 5,450/semester

      The tuition contribution (per month/per semester) remains the same throughout the entire period of study. A one-off registration fee of EUR 750 (EU/EEA)/ EUR 1,000 (non-EU/EEA) will be charged.
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