Artificial Intelligence
FAU Erlangen
Program Overview
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 including FAQs can be found on the website .
EURFinancials
Financials
INFOIntakes and Duration
Intakes and Duration
Intake Season
Winter (October)
Duration
6 semesters
COCareer Outcomes
Career Outcomes
You can always explore various career paths after completing this program. The listed options are some of the most popular among graduates.
EURSalary Outlook
Salary Outlook
Typical range
€45,000 – €75,000 per year
Fresher, mid-level, and experienced ranges are linked to external sources so they stay auditable for applicants.
LANGLanguage & Exams
Language & Exams
Teaching Language
English
Prospective students have to pass an online test in English. English language proficiency on level B2 (CEFR) is required. More information on language skills and accepted certificates can be found here .
REQRequirements
Requirements
Academic Admission
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 .
APS Certificate
An APS certificate is required for applicants who have completed their qualifying education in India, China, or Vietnam.
IELTS Score
Not specified
Application Deadline
Application deadlines are subject to changes. Please refer to the above university course link for the most accurate information.
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