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Friedrich-Alexander-Universität Erlangen-Nürnberg
Master English Computer Science

AI

Master of Science (M.Sc.)

About the Program

The Master Program AI at FAU is designed to give graduates a solid understanding of artificial intelligence that is broad in application and intersection with other disciplines as well as deep and well-founded in the academic methodologies of the field. The program consists of three main pillars: symbolic AI (such as Expert Systems and Logical Calculi), subsymbolic AI (such as Deep and Machine Learning) and AI systems and applications. The degree course offers a broad variety of topics and specializations. The wide range of applications and research groups in the Department of Computer Science provides broad opportunities for "hands-on" project work and practical sessions. In contrast to Data Science oriented programs, AI focuses on the constructive modelling and implementation of algorithms, data structures, neural networks and their respective applications. The program takes a minimum of four semesters and encompasses 120 ECTS credits, with the main purpose of the last semester being the preparation of the master's thesis (30 ECTS). The program structure includes: Electives (50 ECTS), Projects (20 ECTS), Seminar (5 ECTS), Minor (15 ECTS), and Master's Thesis (30 ECTS). The program uses the following abbreviations: Sym = Symbolic AI, ML = Machine Learning / Subsymbolic AI, SA = AI Systems and Applications, SWS = Semesterwochenstunden (Semester Week Hours), WiSe/SoSe = Winter/Summer Semester.
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The Master Program AI at FAU is designed to give graduates a solid understanding of artificial intelligence that is broad in application and intersection with other disciplines as well as deep and well-founded in the academic methodologies of the field. The program consists of three main pillars: symbolic AI (such as Expert Systems and Logical Calculi), subsymbolic AI (such as Deep and Machine Learning) and AI systems and applications. The degree course offers a broad variety of topics and specializations. The wide range of applications and research groups in the Department of Computer Science provides broad opportunities for "hands-on" project work and practical sessions. In contrast to Data Science oriented programs, AI focuses on the constructive modelling and implementation of algorithms, data structures, neural networks and their respective applications. The program takes a minimum of four semesters and encompasses 120 ECTS credits, with the main purpose of the last semester being the preparation of the master's thesis (30 ECTS). The program structure includes: Electives (50 ECTS), Projects (20 ECTS), Seminar (5 ECTS), Minor (15 ECTS), and Master's Thesis (30 ECTS). The program uses the following abbreviations: Sym = Symbolic AI, ML = Machine Learning / Subsymbolic AI, SA = AI Systems and Applications, SWS = Semesterwochenstunden (Semester Week Hours), WiSe/SoSe = Winter/Summer Semester.

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Artificial Intelligence

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Frequently Asked Questions

Quick answers about AI at Friedrich-Alexander-Universität Erlangen-Nürnberg

Is AI at Friedrich-Alexander-Universität Erlangen-Nürnberg taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the AI programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for AI at Friedrich-Alexander-Universität Erlangen-Nürnberg?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying AI?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Friedrich-Alexander-Universität Erlangen-Nürnberg — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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