Master of Science in Artificial Intelligence and Robotics
A cutting-edge programme equipping graduates with advanced AI and robotics expertise for industry and research.
Best for:Best for computer science graduates or engineers with a strong background in algorithms, data structures, and programming, seeking to specialise in AI and robotics for industry or academic research.
Overview
The Master of Science in Artificial Intelligence and Robotics at the University of Technology Nuremberg offers a rigorous, research-informed curriculum blending theoretical foundations with hands-on practical experience. Students develop expertise in AI algorithms, robotics systems, machine learning, and data-driven problem-solving through modular courses and interdisciplinary projects. The programme emphasises active learning, reflective practice, and ethical considerations, preparing graduates for careers in manufacturing, healthcare, transportation, and beyond. It also fosters skills in teamwork, sustainability, and lifelong learning, ensuring adaptability in emerging technological fields. The curriculum includes specialised modules on neural networks, computer vision, natural language processing, and autonomous robotics, with a unique focus on real-world problem-solving through the Learning in Transformation Project.
What you'll do
- Develop and implement advanced AI algorithms and robotic systems using theoretical and practical coursework.
- Design, test, and evaluate complex robotic systems and AI applications through hands-on projects.
- Apply data collection, analysis, and evaluation techniques to solve real-world problems in AI and robotics.
- Collaborate in interdisciplinary teams to create innovative solutions for emerging technological challenges.
- Engage in reflective learning practices and continuous skill development in AI and robotics domains.
- Integrate ethical considerations and sustainability principles into AI and robotics research and development.
Requirements
Degree required: Bachelor of Science (or equivalent) in Computer Science or related fields such as Electrical Engineering, Mechanical Engineering, Mathematics, or Physics
Language: English; C1 proficiency (TOEFL iBT 90, IELTS Academic 6.5, or equivalent)
Instruction: English
- Proficient knowledge of Introduction to Computer Science, Programming, and Algorithms and Data Structures (minimum 24 ECTS credits)
- Strong mathematical background in analysis and linear algebra (minimum 18 ECTS credits)
- Programming competencies in algorithms and data structures, including basic data structures, complexity analysis, sorting algorithms, searching algorithms, and hashing techniques
- Excellent proficiency in English (C1 level)
- Successful completion of an aptitude assessment procedure
- No minimum German language requirement
- Open to applicants from all countries
- Application period for winter semester: 1 March – 31 May
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-05-31
Applicants must submit their application through the official uni-assist portal or the university’s website. Required documents include a CV, proof of degree, transcripts, language proficiency certificate, and a statement of purpose. The application process involves an aptitude assessment procedure. Detailed instructions and deadlines are available on the programme’s website.
- CV
- Proof of Bachelor’s degree (or equivalent)
- Transcripts of academic records
- Official English proficiency certificate (TOEFL, IELTS, or equivalent)
- Statement of purpose or motivation letter
- Proof of required ECTS credits in Computer Science and Mathematics
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.