Program details
English
Language of Instruction
Oct
Available Intake(s)
The consecutive Master's degree programme in Artificial Intelligence at the University of Bonn, a collaboration with the Lamarr Institute for Machine Learning and Artificial Intelligence, is strongly application- and research-oriented, focusing on the mathematical foundations, training, and deployment of advanced AI models to solve complex, real-world problems. A close connection between the specialised courses on offer and the cutting-edge research carried out by our various working groups shapes this degree programme, which is why it is particularly suitable for driven students seeking to deepen their knowledge and develop their technical skills. We also work closely with internationally renowned research institutions and technology companies in and around Bonn. This gives our students the opportunity to work on state-of-the-art AI projects and gives them a wide range of exciting, highly relevant topics for their research and graduation projects – a rapid launchpad into an advanced tech role or a scientific career. Through interdisciplinary work and projects anchored in the programme, students acquire key interdisciplinary skills, including the assessment of problems in AI ethics and societal implications.
A GCQ360 counsellor can help you with eligibility, documents, and your application timeline.
The degree is awarded to students for finishing the minimum required course work (and their final Master's thesis) in five categories: foundations, specialisation, advanced, interdisciplinary modules, and ethical, legal, and social aspects. You can choose freely from the modules available each semester, provided you pass: two compulsory modules in foundations at least 12 ECTS in specialisation at least 39 ECTS in advanced (including one lab and one seminar) at least 10 ECTS in interdisciplinary modules at least 4 ECTS in ethical, legal, and social aspects The Master's thesis and its presentation amount to 32 ECTS. Coursework includes lectures with exercises (6-9 ECTS), labs (9-10 ECTS) and seminars (4 or 6 ECTS). A full semester comprises 30 ECTS. In foundations (first semester), students are required to attend two lectures that provide the basis of modern machine learning approaches. Principles of Machine Learning (6 ECTS) Principles of Deep Learning (6 ECTS) In specialisation (first and second semester), students attend two or three courses to gain a knowledge base for a specialised direction, such as: Audio and signal processing Computer vision Computer graphics and image analysis Geometry processing and numerics Neuroscience and medicine Robot learning Natural language processing Data science In advanced (second and third semesters), students perform advanced domain-specific coursework in different specialised areas. This includes a seminar and research-focused lab work in an application domain, for example: explainable AI, alignment, and ethics virtual environments data science and data mining AI in graphics, vision, and audio embodied and agentic AI AI in biomedical sciences Self-supervised and reinforcement learning In interdisciplinary projects (third semester), students work on an interdisciplinary project of their choosing, a collaborative research project in an adjacent field and a hallmark of the degree. Here, AI is applied to a real-world problem. Possible areas currently include: ethics geodesy life and medical sciences physics neuroscience crop production Ethical, social and legal aspects implies course work in ethical, social, or legal aspects relating to AI. | German language courses: No | English language courses: No
As of Sep 7, 2026, verify on the university’s site.
There is an application period that is open for everyone, and one for specific European countries. Check the webpage for the most up to date information. https://www.informatik.uni-bonn.de/en/studies/examination-office/deadlines-at-a-glance#AdmissionMaster | Please find more details on this website.
Please check this website.
No minimum language level required
Tuition Fee
No tuition fee
This university charges no tuition fee. A compulsory semester contribution (administration, student services and usually a local transport pass) is normally still payable and is not included here.
Looking for living expenses, accommodation, scholarships, placements, or campus facilities? See the university page.
The University of Bonn is a public university, meaning that it does not charge tuition fees. However, all students must pay the semester fee of about 350 EUR per semester, which covers a Deutschlandsemesterticket (student transit pass for public transport) and statutory accident insurance, among other things.
No
Students at the University of Bonn can apply for a room in a dormitory owned by the Studierendenwerk Bonn (see www.studierendenwerk-bonn.de/en/accommodation for more details). For further information on housing in Bonn, please visit our website at www.uni-bonn.de/living-in-bonn.
Students in Bonn can expect to pay around 1,000 EUR a month, with rent accounting for the largest share of their living costs.
No minimum language level required
None
Please find details on the course website.
Yes
An excellent way for students to help fund their studies, gain practical experience at the same time, and meet future employers, is to take on a student job at one of the many information technology companies in the Bonn/Cologne area. An online job board is available from the University of Bonn, from the "Studentenwerk Bonn" and from the "Fachschaft Informatik" (https://www.fachschaft.info/service/jobangebote/). Several student research assistantships are also available at our institute and at the cooperating research institutions, such as Fraunhofer Schloss Birlinghoven and Wachtberg.
Welcome event Buddy programme
The University of Bonn has a central Career Service (www.uni-bonn.de/careerservice), which provides a range of advice and support about choosing a career and applying for jobs. International students can also join the iStart career programme (www.uni-bonn.de/istart), which teaches participants tangible knowledge and valuable skills that will enable them to write successful applications for jobs in Germany. The programme is geared toward giving students a successful career path both during and after their studies and thus making it easier for them to enter the job market.
The University of Bonn offers a range of different support programmes for international students. The Welcome Days (www.uni-bonn.de/welcomedays) before the start of every semester are an opportunity for new students from abroad to gather information on the most important issues, such as enrolment, registration with the local authorities and opening a bank account. Getting to know fellow international and German students during recreational activities is another benefit of the Welcome Days. The Study Buddy Programme (www.uni-bonn.de/study-buddy) matches newly arrived international students (“Mentees”) with a University of Bonn student (“Buddy”) who helps them as they start their studies and adjust to life in Bonn.
This university has not published its own document list, so this is what a student going to Germany is generally asked for. Confirm the exact list with the university.
Bucerius Law School
Funding
Merit- and need-based awards toward the EUR 25,000 tuition fee
Applicants to the Master of Law and Business (LLM/MLB) programme; early-bird and scholarship deadline is January 15 for the September intake
National Merit Foundation
Funding
Full tuition waiver
For students admitted to an accredited university program, based on financial need and merit.
Il servizio di scambio accademico tedesco (DAAD)
Funding
EUR Research Stays, Scholarships, and Master's Programs
Students from pontifical universities.
Artificial Intelligence is a Master program in Computer Science offered by Rheinische Friedrich-Wilhelms-Universität Bonn in Bonn, Germany.
Minimum qualification required: University degree (domestic or foreign) in a relevant subject Command of English (language level CEFR C1) Completed course work in the areas of mathematical foundations (18 ECTS), algorithms and complexity theory and formal languages (14 ECTS), programming, software technology and information systems (20 ECTS) Bachelor's thesis worth 12 ECTS (When converting credits of other countries' education systems to ECTS, we may apply a different (more generous) conversion factor for graduation projects than for regular courses, as appropriate for the respective country's education system.).
A minimum TOEFL score of 95.0 is required for this program.
Master · Computer Science
Visual Computing (MSc)
Saarbrücken, GermanyQS 588Tuition
No tuition fee
Master · Computer Science
Computer Science M.Sc.Hof, GermanyTuition
No tuition fee
Master · Computer Science
Computer Science (MSc)
Marburg, GermanyQS 951Tuition
No tuition fee
Master · Computer Science
Quantum Technologies in Electrical and Computer Engineering (QTEC)Braunschweig, GermanyQS 781Tuition
No tuition fee
Master · Computer Science
Computer ScienceDüsseldorf, GermanyTuition
No tuition fee
Master · Computer Science
Intelligent Interactive Systems (IISY)Bielefeld, GermanyQS 1001Tuition
No tuition fee
No, this program does not require a GRE or GMAT score for admission.
Available intakes include: .
This specific program does not list a dedicated scholarship, but GCQ360 can help you explore other funding and scholarship options at Rheinische Friedrich-Wilhelms-Universität Bonn.
This program is offered in Full-time mode, taught in English at the Bonn campus.
This program has no minimum work experience requirement. No thesis is required to graduate.
Yes -- a GCQ360 counsellor can guide you through eligibility checks, documentation, and the application process for Artificial Intelligence at Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
