Physics and AIfull time

  • Single-subject Bachelor’s degree

    Bachelor
    Degree

  • 8 semesters

    Standard period of study (amount)

  • Marburg

    Location

Overview and admission

Study Type

undergraduate

Admission semester

Winter Semester only

Area of study
  • Computer Science
  • Mathematics
  • Experimental Physics
  • Physics
  • Theoretical Physics
Focus

Theory of Complex Systems and (Further) Development of artificial intelligence Methods, Acquisition of skills in the transitional area between basic science and application, Life science system focuses on increasing expertise in medicine and psychology, Life science molecular specialisation with a focus on molecular, genetic and biochemical approaches, Experimental Physics, Theoretical physics, Basics of Mathematics, Principles of Computer Science, Work placements

Annotation

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.

Admission modus

Without admission restriction

Admission requirements (Link)

Lecture period
  • 14.10.2024 - 14.02.2025
  • 22.04.2025 - 25.07.2025

Application deadlines

Winter semester (2024/2025)
  • Application deadline for Germans and inhabitants

    The application deadlines for study programmes at the Philipps-Universität Marburg can be found on our university homepage under the following link: www.uni-marburg.de/de/studium/bewerbung/bewerbungsfristen

  • Deadlines for International Students from the European Union

    The application deadlines for study programmes at the Philipps-Universität Marburg can be found on our university homepage under the following link: www.uni-marburg.de/de/studium/bewerbung/bewerbungsfristen

  • Deadlines for international students from countries that are not members of the European Union

    The application deadlines for study programmes at the Philipps-Universität Marburg can be found on our university homepage under the following link: www.uni-marburg.de/de/studium/bewerbung/bewerbungsfristen

  • Enrollment deadline for Germans and foreign students

    The application deadlines for study programmes at the Philipps-Universität Marburg can be found on our university homepage under the following link: www.uni-marburg.de/de/studium/bewerbung/bewerbungsfristen

Tuition fee

Fees

Currently, the German federal state of Hesse does not charge tuition fees.

Languages of instruction

Main language

German

Further languages

English

DAAD - Deutscher Akademischer Austauschdienst - German Academic Exchange Service