Artificial Intelligence BSc

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) · Nuremberg, Germany

Level
Bachelor's
Award
Bachelor of Science
Language
English
Duration
6 semesters
Campus
Erlangen
Apply by
<p>Start of application period: 15 April</p> <p>Application deadlines:&nbsp;</p> <ul> <li>31 May for international applicants</li> <li>31 August for domestic applicants</li> </ul>
Starts
Winter semester

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) does not publish a fee for this programme on its own. Its published rate for bachelor's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
All applicants to the BSc AI have to pass a qualification assessment process ("Eignungsfeststellungsverfahren"), which includes an online test in English with questions on mathematics and problem solving. This is to ensure that proficiency in English, mathematics and other areas relevant to the degree programme is at a level that will allow them to study successfully. More information can be found here as well as in the FAQs .
English language requirement
B1 required, please provide an official language certificate, e.g.: IELTS Academic: 5
German language requirement
No minimum language level required
Application period
Start of application period: 15 April Application deadlines: 31 May for international applicants 31 August for domestic applicants
Apply through
Please check this website .

About this programme

This interdisciplinary programme is offered entirely in English and can be studied both full-time and part-time. The flexible curriculum offers a wide range of topics and builds a bridge between theory and practical applications. Students acquire fundamental knowledge in the fields of computer science, mathematics and ethical-philosophical contextualisation of artificial intelligence. In addition, students attend introductory modules from a wide range of degree programmes at FAU to familiarise themselves with the various subject areas in which artificial intelligence can be used. Students can also follow their interests and choose individual specialisations in numerous elective modules on research and application-relevant aspects of artificial intelligence. For example, they can study machine learning, large language models and deep learning or robotics, bioinformatics and image analysis in depth. In our labs and research groups, students work hands-on on innovative projects and test the almost limitless possibilities of AI applications. Graduates are thus ideally qualified for an in-depth Master's degree or a career as a data scientist or software developer in the software industry and data-driven technology companies as well as in other sectors in which artificial intelligence is used. There is no "numerus clausus" (NC), but there is a qualification assessment procedure, which includes an online test with questions on mathematics and problem solving. Further information inc

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