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Physics and AI

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Quick Overview

  • University University of Marburg
  • Degree Single-subject Bachelor’s degree
  • Degree Bachelor of Science, B.Sc.
  • Study Type Undergraduate
  • Mode of admission without admission restriction
  • Beginning Students First-year students can only apply or register for the winter semester.
  • Standard period of study (amount) 8 semesters
  • Study Mode (elucidation) full time
  • Location (main / branches campus) Marburg
  • 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 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 Experimental Physics gehört zum Studienbereiche Physics, Astronomy der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Physics, Astronomy.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Experimental Physics

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

    Weitere Informationen zum Studienbereich Mathematics.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Mathematics

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

    Weitere Informationen zum Studienbereich Physics, Astronomy.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Physics

    Das Theoretical Physics gehört zum Studienbereiche Physics, Astronomy der Fächergruppe Mathematics, Natural Sciences.

    Weitere Informationen zum Studienbereich Physics, Astronomy.

    Weitere Informationen zur Fächergruppe Mathematics, Natural Sciences.

    Theoretical Physics

  • Areas of Concentration Acquisition of skills in the transitional area between basic science and application, Basics of Mathematics, Experimental Physics, Life science molecular specialisation with a focus on molecular, genetic and biochemical approaches, Life science system focuses on increasing expertise in medicine and psychology, Principles of Computer Science, Theoretical physics, Theory of Complex Systems and (Further) Development of artificial intelligence Methods, Work placements
  • Field of study
    • Main instruction language German
    • Further language(s) English
    • Annotation of the Higher Education Institution The "Physics and AI" bachelor's degree programme aims to link the working procedures of physics with methods of computer-aided data collection, analysis and interpretation using artificial intelligence (AI). Methods and concepts of AI are applied in many areas of the natural and life sciences and beyond. After completing the course, students are not only able to analyse data with existing AI methods, but also to identify the underlying processes, to carry out measurements independently and to correctly classify and present results. This enables them to create, modify and use AI models and, in particular, artificial neural networks themselves.

      An integral part of the degree course is the MarSkills programme, in which you acquire attractive and future-oriented key skills (see https://www.uni-marburg.de/de/fb09/igs/arbeitsgruppen/sprechwissenschaft/marskills/was-ist-marskills).

      In addition to the academic field in universities and research institutes, graduates are prepared for jobs as research scientists in modern high-tech companies (e.g. in the field of medical technology, the automotive industry, but also FinTech companies or tech companies such as Alphabet, Amazon, or Meta), as consultants in a consulting firm, as project managers, but of course also as data analysts/data scientists in industrial research and development. The degree programme is also a qualification for further Master's or doctoral studies.

      An integral part of the degree course is the MarSkills programme, in which you acquire attractive and future-oriented key skills (see www.uni-marburg.de/marskills).
    • Course Website
    • Akkreditierungsrat Logo
      Link to the programme in the Accreditation Council database
  • Access and Admission Requirements
  • Programme Dates and Deadlines
  • Tuition Fee
    • Annotation to the tuition fee Currently, the German federal state of Hesse does not charge tuition fees.
  • Contact / contact person

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