Artificial Intelligence (BSc)
FAU Campus Erlangen, Germany
Bachelor of Science in Artificial Intelligence
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Artificial Intelligence
Program Overview: BSc Artificial Intelligence at FAU
The Bachelor of Science in Artificial Intelligence at FAU Erlangen-Nuremberg is an interdisciplinary English-language degree program in which students acquire fundamental knowledge in computer science, mathematics, and the ethical-philosophical contextualization of AI. As a graduate, you will be familiar with the mathematical and computer science foundations of artificial intelligence and hold a research-oriented specialization in selected application areas.
FAU is one of the largest research universities in Germany with around 40,000 students and over 275 degree programs across five faculties. The university's strategic commitment to artificial intelligence involves over 70 professorships spanning disciplines from Computer Science and Engineering to Sociology and Law, providing a uniquely rich academic environment for AI studies.
Located in the Erlangen-Nuremberg metropolitan region, you will benefit from close proximity to leading companies such as Siemens, Adidas, Schaeffler, and the Fraunhofer Institute, as well as the Medical Valley cluster. These industry connections offer numerous opportunities for internships, student traineeships, and career pathways even while you are still studying.
Key Program Highlights
- Fully taught in English with an interdisciplinary curriculum spanning computer science, mathematics, and AI ethics
- Research-oriented specialization with flexible elective modules allowing individual focus areas in AI applications
- Strong industry connections with Siemens, Adidas, Schaeffler, Fraunhofer Institute, and Medical Valley in the metropolitan region
- Over 70 AI-related professorships at FAU providing access to diverse research groups and hands-on project opportunities
Curriculum and Modules
The BSc AI curriculum is built on three foundational pillars: computer science, mathematics, and the ethical-philosophical contextualization of AI. These compulsory areas are supplemented by research- and application-oriented elective modules, allowing you to follow your interests and develop individual specializations across a wide range of AI topics.
Computer Science Fundamentals
Core ModuleCovers essential programming, algorithms, data structures, and software engineering principles that form the computational backbone of artificial intelligence systems.
Mathematics for AI
Core ModuleProvides rigorous training in linear algebra, calculus, probability theory, and statistics required for understanding and developing AI models and algorithms.
AI Foundations and Methods
Core ModuleIntroduces core AI concepts including machine learning, deep learning, large language models, symbolic AI, and subsymbolic AI approaches with both theoretical grounding and practical application.
Ethics and Philosophy of AI
Core ModuleExplores the ethical, philosophical, and societal dimensions of artificial intelligence, equipping students to critically assess the impact and responsible deployment of AI technologies.
AI Project
Elective ModuleA hands-on project module where students apply theoretical knowledge to practical AI challenges, working in labs and research groups on real-world problems.
Bachelor's Thesis
Final ModuleStudents independently work on and present a specific AI topic, demonstrating scientific working methods and the ability to conduct research in their chosen specialization area.
Elective Specializations
Admission Requirements
Admission to the BSc Artificial Intelligence at FAU requires passing a qualification assessment process (Eignungsfeststellungsverfahren), which includes an online test in English covering mathematics and problem-solving skills. The application process is the same for all applicants regardless of nationality, and intake is only available for the winter semester.
Academic Requirements
- Secondary EducationGeneral qualification for university entrance (Abitur or recognized international equivalent)
- Qualification AssessmentOnline test in English with questions on mathematics and problem solving is required for all applicants
- Admission RestrictionNo general admission restriction (numerus clausus), but the qualification assessment must be passed
- Previous Degree FailuresAdmission is not possible if Computer Science, Data Science, or Medical Engineering was failed at the final attempt
- Study ModeOn-campus program in Erlangen; classes begin mid-October each year
Language Requirements
- Language of InstructionEnglish (program is fully taught in English)
- English ProficiencyProof of English proficiency is required; contact Uni4Edu for accepted certificates and minimum scores
- German LanguageNot required for admission, but recommended for daily life in Germany
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
FAU offers a range of scholarship opportunities for outstanding students. In addition to university-specific funding, several national and regional scholarship programs are available to support your studies in Germany. Contact Uni4Edu for personalized guidance on funding options suitable for your profile.
Deutschlandstipendium (Germany Scholarship)
EUR 300 per month (EUR 3,600 per year)Awarded annually to talented students at FAU based on academic achievement (grades of 2.0 or better) and personal circumstances including volunteering and social engagement. Half is funded by private sponsors and half by the German federal government. Initially granted for two semesters with the possibility of annual renewal.
DAAD Scholarships
Varies by programThe German Academic Exchange Service (DAAD) offers a wide range of scholarships for international students across all subjects to fund studies or research in Germany. Eligibility criteria and award amounts vary by specific program. Contact Uni4Edu for details on suitable DAAD scholarship opportunities.
Oskar Karl Forster Scholarship Fund
EUR 100 to EUR 500 (one-off grant)One-off grants available to students in financial need for purchasing books, study materials such as laptops or tablets, and other academic resources. Available from the second semester onward for undergraduate students enrolled at FAU.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the BSc Artificial Intelligence program are well-prepared for careers in a dynamic and fast-growing industry. The degree qualifies you to work as a data scientist or software developer in the software industry and data-driven technology companies, as well as in other sectors where artificial intelligence is applied. FAU's location in the Erlangen-Nuremberg metropolitan region provides direct access to major employers and innovative startups.
Potential Career Roles
Top Employers in the Region
Rankings and Recognition
Friedrich-Alexander-Universitat Erlangen-Nuremberg (FAU) is one of the largest research universities in Germany and consistently ranks among the top institutions nationally and internationally. Founded in 1743, FAU is recognized for its interdisciplinary research strength, particularly in engineering, technology, and artificial intelligence.
| Subject | Ranking Body | Rank |
|---|---|---|
| Materials Science | QS Subject Rankings | #95 |
| Electrical and Electronic Engineering | QS Subject Rankings | Top 200 |
| Computer Science and Information Systems | QS Subject Rankings | Top 250 (Contact Uni4Edu for current data) |
| Industry Income (Patents and Third-Party Funding) | THE World University Rankings | #1 Worldwide |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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