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Study at the University of Technology Nuremberg

 Nuremberg, Germany

AI & Robotics
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AI & Robotics

Master of Science at the University of Technology Nuremberg

Programme details
Degree: Master of Science (MSc)
Disciplines: Artificial Intelligence
Robotics
Duration: 2 years
ECTS points: 120
Study modes: full-time
Delivery modes: on-campus
University website: AI & Robotics

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Description:

Artificial intelligence is a rapidly growing field that is changing the way we live and work. As a result, there is a growing demand for professionals with experience in robotics and artificial intelligence in various industries.

The Master degree program in Artificial Intelligence and Robotics provides students with the opportunity to develop advanced skills and knowledge in these exciting fields. By combining theoretical and practical courses with our new learning design, students will gain an in-depth understanding of the concepts, algorithms, and applications of robotics and artificial intelligence. They also learn to design, implement and evaluate complex robotic systems and artificial intelligence algorithms.

Graduates of the program are equipped to pursue careers in a variety of industries, including manufacturing, healthcare, transportation, and entertainment. They are also ready to pursue research and academic opportunities in robotics and artificial intelligence.

As a graduate, you will:

  • ...be able to apply theory-grounded and science-based content and methods for the innovative, effective and sustainable design or development of technologies for AI and robotics systems.
  • …have gained scientifically-based experience (content, methods, assignments) to develop and apply skills in data collection, analysis, and evaluation for AI and robotics systems.
  • …have gained scientific experience to create novel solutions of AI / robotics technologies in response to current and future challenges of emerging technologies.
  • …be able to work effectively, also in diverse teams, and continuously develop your own expertise and learning.
  • …demonstrate an awareness of sustainability and democratic citizenship, and reflect and relate your own actions and research to social and ethical contexts.

Study Program concept:

Our innovative teaching and learning approach, rooted in extensive research, emphasizes active engagement and reflective practices. Rather than memorization-based learning, our approach entails undertaking learning-oriented assignments throughout the semester, and receiving personalized feedback from faculty on your progress.

The scientific core of your studies will be the essential content of your program. In the case of M.Sc. AI & Robotics, the following six base modules serve as your scientific core:

  1. Artificial Intelligence
  2. Mobile Robot Navigation
  3. Machine Learning
  4. Computer Vision
  5. Deep Learning
  6. Data Engineering

Why study at the UTN?

  • Exclusive: With a supervision ratio of 1 to 25, we offer the best in Germany. You will quickly get to know the professors personally.
  • Our modern learning design with small seminar groups and new forms of examination ensures digital and state-of-the-art university teaching.
  • Individual Profile Development: Develop a profile that aligns with your goals through an individual Track: from key skills to research focus.
  • Interdisciplinary Collaboration and Problem-Solving: Learn to cross disciplinary boundaries and discover solution-oriented and interdisciplinary collaboration in teaching and research.
  • Study in Bavaria, Germany: The city of Nuremberg is a hidden champion with diverse career opportunities and a high quality of life.

 

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Learn more about this Master programme

Find more information on the website of the University of Technology Nuremberg:

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