Results 1 of 1 total

Your search criteria Study Type: Second cycle

Cognitive Computing

Add to Watchlist (Please login)

Quick Overview

  • University University of Osnabrück
  • Degree Master
  • Degree Master of Science, M.Sc.
  • Study Type Second cycle
  • Mode of admission without admission restriction
  • Deadline for Beginning Students The deadline for the Winter Semester 2024/2025 has expired
  • Standard period of study (amount) 4 semesters
  • Study Mode (elucidation) international course; part time degree programmes for professionals
  • Location (main / branches campus) Osnabrück
  • Admission semester winter semester
  • Subject

    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 Computational Linguistics gehört zum Studienbereiche Language and Literary Studies der Fächergruppe Language and Cultural Studies.

    Weitere Informationen zum Studienbereich Language and Literary Studies.

    Weitere Informationen zur Fächergruppe Language and Cultural Studies.

    Computational Linguistics

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

    Weitere Informationen zum Studienbereich Neurosciences.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Neuroscience

  • Areas of Concentration Artificial Intelligence, Computational Linguistics, Neuroinformatics, Neuroscience
  • Field of study
    • Target group Graduates of a Bachelor's degree course in a suitable subject, e.g. (Business) Informatics, Artificial Intelligence, Cognitive Science, (Computer) Linguistics, Mathematics, Natural Sciences, Engineering Sciences or a degree course with a high proportion of computer science, possibly with additional requirements.
    • Main instruction language English
    • Annotation of the Higher Education Institution At present, economy and society are undergoing a fundamental transformation through new computer science technologies. The focus of this transformation is on keywords such as "digitisation", "Industry 4.0", "Internet of Things", "robotics", "machine learning" and "artificial intelligence". This transformation is enabling a variety of new applications and value chains. Today, for instance, complex machines can run for longer and more reliably with predictive maintenance and e-learning systems at school, university or in life-long learning are simplifying access to knowledge. Smart farming is enabling ecologically responsible yield increases in the agricultural sector and intelligent and networked assistance systems can support us in road traffic and in the health sector. In industry, intelligent systems are supporting production and the related logistics, and in the financial sector, huge amounts of data and intelligent algorithms are being used to identify connections and be able to react faster. Studying "Cognitive Computing" means contributing to these crucial future technologies: the degree course bridges the gap between the disciplines of computer science, machine learning and artificial intelligence.
      The degree course in "Cognitive Computing" deals with the modelling of cognitive human abilities and their implementation in technology and achieves this through the close interlinking of the disciplines of Artificial Intelligence, Neuroinformatics, Cognitive Modelling, Computer Vision, Computer Linguistics and Neurobiopsychology. Through education and training at this unique interface between relevant disciplines, the career-integrated Master's degree in "Cognitive Computing" enables graduates to apply their acquired skills to the development of innovative, intelligent systems and services.
      The aim of the degree course is the theoretical and practical teaching of the scientific fundamentals of cognitive computing and cognitive technologies so that graduates are able to implement them in concrete, economically relevant and industry-oriented applications. The career-integrated degree course is divided into a compulsory elective area which, depending on the interests of the student, offers the necessary fundamentals of machine learning, artificial intelligence, neuroinformatics, natural language processing, computer vision and neuroscience of cognition, a compulsory area consisting of an integrative interdisciplinary area, which combines methods of the respective disciplines, and a one-year study project, as well as a profile-building elective area which serves as further specialisation. The practical relevance of the degree course is ensured by close cooperation with regional and national companies, in particular as part of the one-year study project and the Master's thesis.
      Graduates of the career-integrated Master's degree course in "Cognitive Computing" qualify on a broad basis for future high-tech activities in the field of digitisation, machine learning and artificial intelligence. Especially for people who want to actively shape the digital transformation in their company, this programme is a tailor-made qualification in the sense of life-long learning and continuous further education.
    • Course Website
    • Akkreditierungsrat Logo
      Link to the programme in the Accreditation Council database
  • Access and Admission Requirements
    • Mode of admission without admission restriction
    • Admission semester winter semester
    • The prerequisite for access to the career integrated Master's program is that the applicant has successfully completed a suitable Bachelor's degree program at a university.
      more information regarding admission requirements
    • Completion of first university degree Bachelor/Bakkalaureus
      (and other qualifications, provided that they are recognised as being equivalent)
  • Programme Dates and Deadlines
  • Tuition Fee
  • Contact / contact person
  • University Portrait
    „We offer a wide range of degree programs and an excellent research environment. As a young, dynamic university, we foster diversity, nurture potential, and are actively involved on a national, international and regional scale.”
    Prof. Dr. Susanne Menzel-Riedl
    President of Osnabrück University
    University in the heart of the city

    Osnabrück University, founded in 1973, is a dynamic place to study, offering courses with strong research and quality credentials. The University is an integral part of the City of Peace, a vibrant city that is rich in tradition and culture.

    Icon: uebersicht
    offers courses with strong research and quality credentials
    Icon: uebersicht
    nine schools offer around 180 cutting-edge degree programs
    High standards in academic supervision and support

    The University’s nine schools offer around 180 cutting-edge degree programs. The range of subjects comprises Bachelor and Master’s programs in the following areas of study

    • Humanities and Social Sciences, Sports
    • Mathematics, Computer Science, Natural Sciences
    • Law and Economics
    • Language, Literary and Cultural Studies
    • Theology, Art, Music, Textiles

    Another strong point of Osnabrück University is the scientifically based education and training of teachers for virtually all school types.

    Icon: studium
    prepares graduates excellently for the national and international labor market
    Icon: studium
    numerous cooperative agreements with businesses and institutions give students the opportunity to gain practical experience at an early stage
    Interdisciplinary research

    The outstanding research undertaken at the University is only possible due to close interdisciplinary cooperation:

    • The AI Campus is the result of many years of specialization in the field of Artificial Intelligence (AI).
    • The Center of Cellular Nanoanalytics Osnabrück (CellNanOs) interdisciplinary research center develops new approaches in modern cell biology.
    • The Institute of Migration Research and Intercultural Studies (IMIS) explores the aspects of spatial mobility and intercultural experiences.
    • Early childhood education and development is addressed at the Center for Early Childhood Development and Education Research (CEDER) research center.
    • A beacon of interdisciplinary cooperation is the Institute of Cognitive Science (IKW), which addresses issues of higher cognitive functions.
    • At the Institute of Environmental Systems Research (USF), research is conducted on changes in environmental systems.
    • The European Legal Studies Institute, one of Europe’s most important research facilities in the field of comparative law and the harmonization of law, is firmly anchored at Osnabrück University.


    The “UOS 2020” concept for the future, featuring six key research strands, paves the way for the development of the University in years to come.

    Icon: forschung
    one of the University’s core tasks is to train and develop young scholars.
    Icon: forschung
    optimal student support is a priority for the university

You may also be interested in

Doctoral studies

Guidance and tips for your doctoral project and comprehensive search options, with detailed information about doctoral studies at German higher education institutions.

Doctoral studies

About us

The Higher Education Compass offers information about higher education institutions in Germany, and is the only portal in Germany based on information from the higher education institutions themselves.

About us