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Snapshot of FAU Erlangen-Nürnberg for international students
FAU Erlangen-Nürnberg is a large research university in Bavaria with strong links to industry and applied research. If you want a serious academic environment and a clear pathway into German innovation hubs, it is a strong option. ApplyAZ helps you shortlist the right course, check documents early, and avoid common mistakes before you apply.
What you can study in English at FAU Erlangen-Nürnberg
FAU Erlangen-Nürnberg offers a mix of full English degrees and programmes with significant English content, especially at Master’s level. You will find options in areas like engineering, computer science, materials, optics, and related fields, plus selected programmes in the humanities and social sciences.
Before you decide, ApplyAZ checks three things with you: entry fit (your previous subjects), intake timing, and language rules. This matters because some “English” degrees still expect basic German skills during the first year for daily life and admin.
Tuition and real costs (what students usually miss)
FAU Erlangen-Nürnberg is among the public German universities, so standard degrees usually do not charge tuition fees. You should still plan for a semester contribution (often around €72, and it can change by semester). This is separate from your personal budget and is required to stay enrolled.
What students often miss is the full monthly budget. Keep these in mind:
- Rent and deposit (often the biggest cost)
- Health insurance
- Food and local transport
- Study setup (laptop, software, books)
- Residence permit and admin fees
Your living costs in Germany will vary by housing type and city area, so budget with a buffer.
Admissions step-by-step (clear checklist)
FAU Erlangen-Nürnberg uses a structured process and deadlines can be strict. ApplyAZ keeps it simple and helps you build a clean file that matches the programme rules, including whether you apply via uni-assist or directly through the university system.
Use this checklist:
- Pick 1–3 target programmes that match your background
- Confirm intake, deadline, and language requirements
- Prepare transcripts, grading scale, and degree certificate
- Draft your CV and motivation letter (programme-specific)
- Arrange references if the programme asks for them
- Submit and track your application until a decision arrives
Scholarships and funding (how to think about it)
Funding in Germany is usually a mix, not one magic source. Start with a realistic monthly budget, then add funding options that fit your profile. ApplyAZ helps you separate what is competitive from what is common, so you do not waste time on options you cannot use.
Common directions to explore:
- Merit scholarships (such as Deutschlandstipendium-type support where available)
- External funding like DAAD routes for specific profiles
- Part-time student work where legally allowed
- Personal savings and family support planning
If your plan involves a German student visa, funding clarity is not optional. We help you prepare a clean, explainable funding story.
After graduation: work options and career direction
Germany can be a strong place to start a career after graduation, especially if your degree is in a high-demand area. What matters most is your job direction and how early you start building it. ApplyAZ guides you to pick programmes that match real outcomes, not just nice titles.
Focus on:
- Internship-ready course choices
- Skills that translate to jobs (projects, tools, research methods)
- Location strategy (where hiring is active in your field)
- A CV and LinkedIn profile shaped for German hiring norms
How ApplyAZ supports your application (what happens when)
ApplyAZ supports you end-to-end, without making the process feel heavy. We start with a fit check, then build your shortlist, then move into document review and application submission planning. After you receive an offer, we guide your next steps, including scholarship support and German student visa preparation.
Here is what you get with us:
- Shortlist based on your background and goals
- Document check with clear fixes (before you submit)
- Application plan with deadlines and priorities
- Scholarship approach that matches your profile
- Visa guidance and pre-arrival checklist support
Quick fit check: who Master in Artificial Intelligence (AI) is for
Master in Artificial Intelligence (AI) at FAU Erlangen-Nürnberg suits students who want solid AI foundations and the ability to ship real work, not only theory. ApplyAZ helps you check fit early, based on your courses, grades, and goals, so you apply only where you have a strong match and a clean story.
You are likely a good fit if you have:
- Programming experience (at least one serious language)
- Maths basics (linear algebra, calculus, probability)
- Interest in data, models, and problem solving
- Patience for reading papers and testing ideas
What you will learn (simple, real outcomes)
You will learn how to design, train, evaluate, and improve AI systems. The focus is usually on thinking clearly, working with data, and making models reliable. You should finish with a portfolio you can explain in interviews, plus a thesis that proves you can handle a complex problem end-to-end.
By the end, you should be able to:
- Turn a real problem into an ML approach
- Build and test models with strong evaluation
- Communicate results to technical and non-technical teams
- Work with research methods and good documentation
Why FAU Erlangen-Nürnberg for Master in Artificial Intelligence (AI) (what to look for)
FAU Erlangen-Nürnberg is known for a research-driven environment and a strong technical ecosystem around it. When you compare options at public German universities, focus on what matters for your career: research strengths, project culture, computing resources, and industry access. ApplyAZ helps you compare these points quickly and choose a programme you will actually finish strong.
When you review this option, check:
- Research groups that match your interest
- Opportunities for applied projects and labs
- Thesis supervision style and availability
- Local tech scene and internship access
Modules, projects, and thesis (what your year may look like)
Your first phase is often core AI and ML skills, then you move into advanced topics and projects. Expect group work, coding-heavy assignments, and time spent improving results rather than getting a perfect first run. The thesis is usually the biggest piece, so planning your topic and supervisor early can save months.
A realistic study rhythm often includes:
- Weekly lectures and tutorials
- A project with milestones and demos
- Reading and summarising papers
- Thesis preparation, then thesis delivery
Entry requirements and eligibility (easy checklist)
Entry rules vary by track and intake, so treat this as a checklist, not a promise. Many applicants get rejected for avoidable reasons: missing prerequisite courses, unclear transcripts, or weak proof of programming depth. ApplyAZ checks your profile against entry requirements Germany and tells you where you are strong, and where you need to strengthen your file.
Typical requirements to review:
- Relevant Bachelor’s background (CS, engineering, maths, or close)
- Evidence of maths and programming coursework
- English proficiency if requested
- Application route (sometimes via uni-assist)
Documents you should prepare early (avoid delays)
Strong applications look simple because everything is ready. Start early so you are not rushed near the deadline. ApplyAZ reviews your documents for clarity and consistency, so your file reads like one complete story. This matters a lot for competitive AI intakes.
Prepare these early:
- Passport and ID details
- Transcripts and degree certificate
- Course descriptions or syllabus extracts (if needed)
- CV focused on projects, tools, and impact
- Motivation letter with clear fit and direction
- Proof of English, if required
Tuition, fees, and living costs (real planning)
For many programmes at public universities in Germany, tuition is often low or not charged, but you should plan for semester fees and real monthly spending. Your budget needs to cover rent, insurance, food, and day-to-day costs. ApplyAZ helps you build a realistic plan that also fits the German student visa expectations.
Plan for:
- Semester contribution and admin costs
- Rent deposit and first months upfront
- Health insurance and basic living costs
- A buffer for laptop, software, and emergencies
Scholarships and funding options (how students usually approach it)
Funding is usually a mix of savings, family support, part-time work rules, and selective awards. Scholarships in Germany can be competitive, so the best approach is to apply where you truly fit and prepare your story early. ApplyAZ helps you shortlist realistic funding routes based on your profile and timeline.
Common funding directions include:
- Merit-based awards where eligible
- Research assistant roles after settling in
- Part-time work within legal limits
- Personal budget planning with a buffer
How ApplyAZ helps you apply step-by-step
ApplyAZ keeps the process clear and calm. We start with fit and eligibility, then turn it into a shortlist, a document plan, and a submission timeline. After you apply, we help you stay organised until a decision arrives, and then guide the next steps. We also help you frame jobs after graduation in Germany through project choices and a strong thesis direction.
They Began right where you are
