Deggendorf Institute of Technology
Artificial Intelligence for Smart Sensors and Actuators, M.Eng.
Cham, Germany
Master degree
DURATION
3 semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Dec 2025*
EARLIEST START DATE
Mar 2026
TUITION FEES
EUR 82 / per semester **
STUDY FORMAT
On-Campus
* Entry in March (summer semester): 01 October - 01 December
** student union fee | additional fees may apply, please read below for more details
Key Summary
As an undergraduate of mechatronics or other related fields of study, the consecutive, application-oriented master's programme "Artificial Intelligence for Smart Sensors and Actuators" qualifies you as an experts in the development and use of intelligent, technical systems of data processing, data analysis and automation. The knowledge transfer on study contents including artificial intelligence, machine learning, and innovative sensors/actuators, additionally endows prospective students with the competence to work creatively in research and development departments.
Course Objectives
The command of intelligent sensor and actuator systems requires scientific-technical expert training tailored to current thematic challenges. Within three study semesters, these challenges are to be met by the structured and intensified knowledge transfer of the following topics:
- Process of Machine Learning (neuronal networks)
- Embedded Control for Smart Sensors and Actuators
- Sensor Technology (e.g. MEMS)
- Methods of System Networking (wired and wireless communication)
- Methods of Data Processing (e.g. Cloud Computing, Big Data)
- System Design
The practical relevance of the course content is implemented through case studies conducted in collaboration with industrial experts.
The Technology Campus Cham (focusing on research & development in mechatronic systems), as well as the Digital Start-Up Centre (majoring in Digital Production), are directly located on Campus Cham. They provide a specialised and application-oriented environment for highly innovative training concepts.
There are several opportunities to partially finance your studies through a scholarship, particuarly if you are an ambitious or talented student. However, please be informed that we only give scholarships to students who already have studied at DIT at least one semester. The grades students achieve here at DIT as well as extracurricular activities are relevant and considered during the evaluation of the eligibility for scholarships.
Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the postgraduate programme "Artificial Intelligence for Smart Sensors and Actuators".
| 1st Semester | SWS | ECTS |
|---|---|---|
| AI and Machine Learning | 4 | 5 |
| Advanced Sensor Technology and Functionality | 4 | 5 |
| Model-Based Function Engineering | 4 | 5 |
| Advanced Programming | 4 | 5 |
| Edge Device Architectures | 4 | 5 |
| System Design | 4 | 5 |
| 2nd Semester | SWS | ECTS |
|---|---|---|
| Deep Learning and Computer Vision | 4 | 5 |
| Big Data | 4 | 5 |
| Case Study Machine Learning and Deep Learning | 4 | 5 |
| Autonomous Systems | 4 | 5 |
| Case Study Edge Device Architectures | 4 | 5 |
| Network Communication | 4 | 5 |
| 3rd Semester | SWS | ECTS |
|---|---|---|
| Subject-Related Elective Course (FWP) | 4 | 5 |
| Master's Module | - | 25 |
| Master's Thesis | - | 20 |
| Master's Seminar (two parts: Master's colloquium (2 ECTS) and seminar series "Career Start into German Technology Companies") | 2 | 5 |
Artificial Intelligence (AI) describes a sub-discipline of computer science that deals with the research of "intelligent" problem-solving behaviour and the creation of "intelligent" computer systems. In a multitude of technical fields of application, AI-based systems are fed by sensor data and return process-influencing information to actuators. The interactions between information processing, the process as data source and data sink as well as the influences of the quality of the sensor data and the actuator interventions are equally decisive for the overall system function of the systems. In addition to the actual measuring principle for the respective process variable, a smart sensor also features signal pre-processing, monitoring algorithms for safeguarding the sensor function, connectivity (e.g. Bluetooth, WIFI, 5G) and, depending on the application, power supply functions. Smart actuators also supplement the actual control intervention in the technical process with extended signal processing and monitoring mechanisms as well as various communication methods. The resulting signal-processing system features additional "intelligent" properties that further enhance its performance.
After successfully graduating from this study course, you will have all the qualifications required to establish yourself as an expert in this transitioning professional world and to participate actively in its development.