AI & Robotics (M.Sc.)

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.

Key Data

Degree programArtificial Intelligence & Robotics (M.Sc.)
Required course work4 semesters (full-time studies, approx. 40 hours per week, with 120 ECTS)
LocationNuremberg
LanguageEnglish
Application periodThird countries: March 1 until and including May 31, 2025

EU/EEA/DE: March 1 until and including June 30, 2025
Enrollment periodApril 1 until and including September 30, 2025
Semester periodOctober 1, 2025 until March 31, 2026
Course periodExpected from October 13, 2025 – February 7, 2026
Welcome Week for new studentsOctober 6 – 10, 2025

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.

Infographic study program concept

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

Find more information about our unique learning design here:

Learning Design

Curriculum

Infographic of the curriculum for the 4 semester Master Artificial Intelligence and Robotics
1. Semester
4 Mandatory Modules
1 Key Competencies Module
2. Semester
2 Mandatory Modules
1 Key Competencies Module
1 Interdisciplinary Module
3. Semester
3 Advanced Modules
1 Interdisciplinary Module
4. Semester
1 Key Competencies Module
1 Master Thesis

The curriculum of the master program Artificial Intelligence and Robotics is a modularised study program. Students will learn about problem-solving, decision-making, and knowledge representation in AI, as well as the design and implementation of algorithms for autonomous robot navigation. They will study neural networks, training algorithms, optimization techniques, and applications in computer vision and natural language processing. Students will also learn about data analysis, statistical methods, data visualization, and data mining techniques. Through practical assignments and projects, they will gain hands-on experience in designing and implementing algorithms and systems in these fields.

The unique highlight is the learning in transformation project, an interdisciplinary scientific research project that focuses on practical learning experiences. The project aims to provide students with a scientific-based approach to solving real-world problems.

Please note that the Master’s in AI & Robotics is a full-time program. You should plan about 40 hours of work per week.

Module manual AIR M.Sc. Wintersemester 2024/25:
Read

Module manual AIR M.Sc. 2023/24:
Read

What do you need to bring?

  • Bachelor of Science
    (or equivalent) in Computer Science or related fields such as Electrical Engineering, Mechanical Engineering, Mathematics, or Physics.
  • Excellent knowledge of Computer Sciences:
    • Introduction to Computer Science, Programming, Algorithms and Data Structures, as well as one of the following subjects: Theoretical Computer Science, Computer Architecture, Computer Networks, or Software Engineering (minimum of 24 ECTS credits or equivalent).
  • Mathematical references in analysis and linear algebra (at least 18 ECTS or equivalent).
  • Necessary programming competencies in algorithms and data structures:
    • Basic data structures (arrays, lists, stacks, queues, sets, trees, and graphs)
    • Complexity analysis (best case, worst case, average case, Big-O notation, divide and conquer)
    • Sorting algorithms (bubble sort, insertion sort, quicksort, mergesort, and heapsort)
    • Searching algorithms (linear search, binary search, tree search, and graph search)
    • Hashing techniques (open hashing and closed hashing)
  • Proficiency in English
    • TOEFL internet based (min. 90 Points)
    • TOEFL Paper (min. 577 Points)
    • IELTS (min. 6,5)
    • Cambridge Language Assessment (C1 Advanced)
    • German Abitur with proof of English
  • Successful participation in the aptitude assessment procedure.

Necessary Documents

  • Complete, chronological, tabular CV in English
  • Certificate and diploma of the graduated university degree
    If the degree certificate is not yet available, it can be submitted up to 5 weeks after start of the semester at the latest.
  • Transcript of records / overview of courses
  • Diploma supplement / curriculum / module overview
  • Explanatory letter in English (max. 600 words)
    Your explanatory letter is part of the aptitude assessment by the selection committee. Describe your specific interest as well as your special talent and willingness to perform during the degree program. We would also like to know why and how our teaching/learning concept is conducive to your acquisition of competencies.
  • Language certificate English C1
    You can prove your language skills by showing a successfully completed language test, which is not older than two years. We will accept the following certificates: TOEFL internet-based min. 90 points, TOEFL computer-based min. 233 points, TOEFL paper min. 577 points, IELTS min. 6.5, Cambridge language assessment C1 advanced.
  • Language certificate German A2 or German-language university entrance qualification
    The proof can also be submitted later up to the registration of the final paper (beginning of 4th semester). If a language test is already submitted for the application or enrollment, it must not be older than two years.
  • Additional supporting documents
    For example relevant internships or work experience.
  • Proof of APS certificate
    An APS certificate is necessary if you obtained your university degree in India, China or Vietnam.

You can always refer to the General Study and Examination Regulations as well as the Aptitude Regulations to read all admission requirements. Further information can also be found in our FAQ.

Do you meet the requirements?

Join a new university and apply now for the Master’s program Artificial Intelligence and Robotics (M.Sc.)!

Contact

Student advisory service

If you have any queries regarding the M.Sc. Artificial Intelligence and Robotics degree program, please feel free to contact the student advisory service. We are more than happy to assist you!

   study-ai-robotics@utn.de

Here you can find additional information on the Department of Engineering:

Department of Engineering

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