Master
English
Computer Science
Master of Science in Artificial Intelligence and Machine Learning
Master
About the Program
In this research-oriented Master of Science programme, students further develop the technical and interdisciplinary competence in artificial intelligence (AI) building that they have obtained in a preceding Bachelor's degree programme in computer science. This programme of studies qualifies graduates for research and development work in both academia and industry. Set individual priorities Students have a great deal of freedom in designing their individual curriculum and can thus specialise in accordance with their personal interests. Composition of the course selection in accordance with a few compulsory elective areas ensures that students acquire the necessary basic knowledge in AI required for completing the degree as well as the AI specialist expertise and all essential capabilities for a career in AI and machine learning (ML). Practice-oriented A great strength of the degree programme are the integrated AI projects and labs. Students have the unique opportunity to participate in challenging AI projects in cutting-edge international AI research. Environment Darmstadt is Germany’s only location that is strong both in the full breadth of AI research (with leading research groups in AI Fundamentals, Computer Vision, Games, Natural Language Processing, Robotics and Systems AI) as well as in the full depth on machine learning (with well-known researchers in deep learning, statistical learning, generative models, relational learning, robot learning, reinforcement learning as well as data mining and data management). These AI researchers are located in the computer science department of TU Darmstadt (one of Germany’s strongest computer science departments), the Hessian Center for Artificial Intelligence (hessian.AI), and the German Research Center for Artificial Intelligence (DFKI). AI research applied to computer security and computer vision & graphics is also supported by Darmstadt’s Fraunhofer Institutes on these specific topics.
▶ Show the original English text
In this research-oriented Master of Science programme, students further develop the technical and interdisciplinary competence in artificial intelligence (AI) building that they have obtained in a preceding Bachelor's degree programme in computer science. This programme of studies qualifies graduates for research and development work in both academia and industry. Set individual priorities Students have a great deal of freedom in designing their individual curriculum and can thus specialise in accordance with their personal interests. Composition of the course selection in accordance with a few compulsory elective areas ensures that students acquire the necessary basic knowledge in AI required for completing the degree as well as the AI specialist expertise and all essential capabilities for a career in AI and machine learning (ML). Practice-oriented A great strength of the degree programme are the integrated AI projects and labs. Students have the unique opportunity to participate in challenging AI projects in cutting-edge international AI research. Environment Darmstadt is Germany’s only location that is strong both in the full breadth of AI research (with leading research groups in AI Fundamentals, Computer Vision, Games, Natural Language Processing, Robotics and Systems AI) as well as in the full depth on machine learning (with well-known researchers in deep learning, statistical learning, generative models, relational learning, robot learning, reinforcement learning as well as data mining and data management). These AI researchers are located in the computer science department of TU Darmstadt (one of Germany’s strongest computer science departments), the Hessian Center for Artificial Intelligence (hessian.AI), and the German Research Center for Artificial Intelligence (DFKI). AI research applied to computer security and computer vision & graphics is also supported by Darmstadt’s Fraunhofer Institutes on these specific topics.
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How do I apply to Master of Science in Artificial Intelligence and Machine Learning at Technische Universität Darmstadt?
Most international applicants apply via uni-assist (document verification + APS for some countries). Prepare your secondary/Bachelor diploma, transcripts, language certificate (DSH/TestDaF or IELTS/TOEFL), motivation letter and CV. Non-EU students also need a Sperrkonto (~11,904 EUR/year) for the visa.
- Check requirements — Verify your degree is recognised + meet language/grade thresholds.
- Get language certificate — TestDaF / DSH for German programmes, IELTS / TOEFL for English.
- Submit via uni-assist (non-EU) — Document review + APS if your country requires it (China, India, Pakistan, Vietnam, etc.).
- Apply directly or via uni portal — Some universities accept direct applications — check the official programme page.
- Open Sperrkonto + apply for visa — After admission, deposit 11,904 EUR, get health insurance, book embassy appointment.
Frequently Asked Questions
Quick answers about Master of Science in Artificial Intelligence and Machine Learning at Technische Universität Darmstadt
Is Master of Science in Artificial Intelligence and Machine Learning at Technische Universität Darmstadt 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 Master of Science in Artificial Intelligence and Machine Learning 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 Master of Science in Artificial Intelligence and Machine Learning at Technische Universität Darmstadt? ▼
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 Master of Science in Artificial Intelligence and Machine Learning? ▼
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 Technische Universität Darmstadt — 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.