Artificial Intelligence and Robotics (MSc)

Overview This newly launched Master of Science program gives you advanced training at the intersection of artificial intelligence and robotics. Taught in English within the computer science field, the curriculum emphasizes practical, hands-on learning so you can design and implement intelligent systems for real-world applications. You will study modern AI concepts—especially machine learning and deep learning—and apply them to robotics problems throughout the program.

What you will learn The course modules cover state-of-the-art algorithms and complex models, including Deep Generative Models, Variational Autoencoders, Deep Reinforcement Learning, Simultaneous Localisation and Mapping (SLAM), and Robot Imitation Learning. Through practical exercises and project work you will build the competence to independently plan, execute and evaluate sophisticated projects, and to transfer solution strategies to new and unfamiliar application areas.

Career prospects Graduates leave with in-depth expertise in AI and intelligent robotics and are well positioned for roles across industry and research. Typical career paths include robotics application developer, AI developer, IT project manager, consultant, ML architect, data engineer and machine learning engineer.

Key program facts

• Degree awarded: Master of Science (MSc)
• Language of instruction: English
• Academic field: Computer Science
• Main focus areas: Artificial Intelligence, Machine Learning, Deep Learning, Robotics
• Emphasis: Practical modules and project-based learning covering advanced topics (e.g., Deep Generative Models, Variational Autoencoders, Deep Reinforcement Learning, SLAM, Robot Imitation Learning)

This three-semester program combines advanced theoretical foundations with intensive hands-on experience to prepare you for careers at the intersection of artificial intelligence and robotics. During the first two semesters you follow core coursework and apply concepts through seminars and a compulsory internship; the final semester is dedicated to a company-based Master’s thesis. Successful graduates are awarded the academic degree Master of Science (MSc).

You will gain practical skills in designing, implementing and evaluating intelligent systems for real-world and industrial contexts. Key learning outcomes include mastery of modern deep learning and generative AI methods, competence in intelligent robotic systems and Industry 4.0 concepts, ability to design scalable AI architectures and predictive maintenance solutions, and experience in interdisciplinary project work and industry collaboration. The program also builds communication and intercultural skills—international students take German as a foreign language at the next higher level, while German students choose intercultural competence or UNIcert courses.

Core structure and modules

• Standard period of study: 3 semesters; degree: Master of Science (MSc)
• Semester 1 (core modules):
  • Applied Deep Learning
  • Intelligent Robotics
  • New Technologies in Computer Science
  • New Technologies in AI and Robotics
  • Industry 4.0 / Data Management
  • Intercultural Competence (German as a foreign language for international students; Intercultural Competence or UNIcert courses for German students)
  • Seminars and an internship to apply theory in practice
• Semester 2 (core modules + elective):
  • Core modules:
    • Advanced Architectures in AI
    • Generative AI
    • AI Project
    • Predictive Maintenance and Condition Monitoring
  • Elective (choose one):
    • Security of Information Systems
    • Data Engineering and Analysis Methods
    • Mixed Media (AR, VR, MR)
    • IoT Architectures
    • Security Research Seminar
    • Information Structuring and Visualisation
• Semester 3:
  • Master’s thesis conducted at a company (industry-based research and implementation)

For more detailed information on course content, assessment methods and application procedures, consult the programme brochure.

Graduates are prepared for technical and leadership roles in companies and research organisations that develop or deploy AI and robotic systems. Typical positions include robotics application developer, AI developer, machine learning engineer, data engineer, ML architect, IT project manager and consultant. The programme’s industry-integrated thesis and internship elements make alumni attractive to manufacturing firms, automation and robotics companies, startups, consultancies and R&D labs both in Germany and internationally.