MEng Artificial Intelligence for Smart Sensors and Actuators

This master’s programme is designed for recent bachelor’s graduates and practising engineers who want to specialise in the intersection of artificial intelligence with sensor and actuator technology. It combines theoretical foundations with hands-on application to prepare you for cutting-edge work in embedded and intelligent systems. Teaching is delivered in English and the programme culminates in the award of a Master of Engineering (MEng) degree.

The curriculum addresses core and applied topics that reflect current global challenges, including:

• Machine learning processes, with emphasis on neural networks
• Embedded control systems for smart sensors and actuators
• Sensor technologies such as MEMS
• System networking methods (wired and wireless communication)
• Data processing approaches (e.g., cloud computing and big data)
• Overall system design and integration

You will study in modern labs and workshops under the guidance of dedicated faculty and support staff, tackling practical problems through four structured case studies. These project-based elements are designed not only to deepen your technical skills but also to strengthen your personal, social and professional competencies. Graduates are qualified to undertake creative R&D roles in industry and research; top-performing students may also pursue doctoral studies.

Requirements (concise)

• Bachelor’s graduate or a professional engineer seeking specialisation in this field
• Programme language: English
• Successful completion leads to the Master of Engineering (MEng) academic degree
• Strong practical focus with four case studies and access to state-of-the-art labs and workshops

Overview This is an 18‑month (three‑semester) postgraduate programme taught entirely in English, designed around the intersection of artificial intelligence and hardware for sensing and actuation. The curriculum combines algorithmic foundations in AI and deep learning with specialist topics in sensor technology, edge device architectures, and system design so you learn to apply intelligent methods to real‑world sensing and control problems.

Key modules and learning outcomes Core modules such as AI and Machine Learning, Deep Learning and Computer Vision, and Big Data build your ability to develop and evaluate ML models for complex, sensor‑generated data. Advanced Sensor Technology and Functionality together with Model‑Based Function Engineering and Edge Device Architectures focus on the physical and software platforms that host these models, enabling you to design and integrate sensors and actuators into complete systems. System Design, Network Communication and Autonomous Systems teach system‑level thinking — how to architect, communicate and coordinate intelligent devices. Case study courses and the specialist seminar series provide applied experience and prepare you for technology careers in Germany.

Final project and career preparation In the third semester you choose a subject‑related elective, take a master’s module, and complete a master’s thesis supported by a two‑part seminar (Master’s colloquium — 2 ECTS — and the seminar series “Career Start into German Technology Companies”). The programme emphasizes applied, case‑based learning and culminates in an independent research or development project that demonstrates your ability to combine AI methods with sensor and actuator technology.

Curriculum at a glance (semester breakdown)

• First semester
  • AI and Machine Learning
  • Advanced Sensor Technology and Functionality
  • Model‑Based Function Engineering
  • Advanced Programming
  • Edge Device Architectures
  • System Design
• Second semester
  • Deep Learning and Computer Vision
  • Big Data
  • Case Study: Machine Learning and Deep Learning
  • Autonomous Systems
  • Case Study: Edge Device Architectures
  • Network Communication
• Third semester
  • Subject‑related elective course (FWP)
  • Master’s module
  • Master’s thesis
  • Master’s seminar (two parts: Master’s colloquium — 2 ECTS — and the seminar series “Career Start into German Technology Companies”)

Graduates are prepared for roles in R&D and engineering where AI meets hardware: positions such as AI/ML engineer for embedded systems, sensor/actuator systems designer, edge-computing developer, IoT systems engineer, or roles in autonomous systems and computer vision. The curriculum emphasises hands-on system design and case-study experience, which is attractive to companies developing intelligent devices and networked solutions.

Top-performing students may progress to doctoral research. The programme also includes career-oriented elements (e.g. a seminar on starting careers in German technology companies), which support transition into industry—particularly in sectors focused on smart sensors, automation, robotics and industrial IoT.