Master of Science in Artificial Intelligence and Machine Learning
A research-oriented Master's programme focused on advanced AI and machine learning methodologies.
Best for:Best for computer science graduates seeking a research-intensive specialization in AI and machine learning.
Overview
The Master of Science in Artificial Intelligence and Machine Learning at the Technical University of Darmstadt is a research-focused programme designed for students with a background in computer science. The curriculum offers significant flexibility, allowing students to tailor their studies through elective catalogues covering AI foundations, advanced models, system development, and domain-specific applications. Students benefit from a strong research environment, including access to the Hessian Center for Artificial Intelligence and the German Research Center for Artificial Intelligence. The programme emphasizes practical experience through integrated AI projects and labs, preparing graduates for careers in both academia and industry.
What you'll do
- Complete compulsory elective courses across four AI-focused catalogues.
- Participate in integrated AI projects and laboratory sessions.
- Design an individual curriculum based on personal research interests.
- Conduct independent research leading to a Master's thesis.
- Engage with international research groups within the department and partner institutions.
Requirements
Degree required: Bachelor's degree in Computer Science or equivalent
Degree offered: Master of Science
Language: English; C1 level required (e.g., UNIcert III)
Instruction: English
- Strong academic background in computer science
- Proficiency in English at C1 level
- Successful completion of entrance examination or equivalent GRE/GATE scores
- Hold a Bachelor's degree in Computer Science or a closely related field
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Applications must be submitted through the university's official online portal. Applicants should check the university website for specific deadlines and admission procedures.
- Bachelor's degree certificate
- English language proficiency certificate
- Entrance exam results or GRE/GATE scores
Contact
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