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Deggendorf Institute of Technology Master of Engineering in Artificial Intelligence for Smart Sensors and Actuators

The Deggendorf Institute of Technology (DIT) is offering a three-semester Master of Engineering programme in Artificial Intelligence for Smart Sensors and Actuators. This programme is taught entirely in English with options to start in October and March and takes 1.5 years to complete (90 ECTS). This programme aims to equip students with knowledge on artificial intelligence, machine learning, and innovative sensors/actuators. Students will acquire skills in the development and use of intelligent, technical systems of data processing, data analysis and automation. 

Curriculum

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 Thesis
  • Master Seminar

Admission requirements

In order to apply for this programme, applicants are required to have completed an undergraduate study programme at a domestic or foreign university with a minimum of 210 ECTS credits in mechatronics or a related study course. Additionally, applicants will have to successfully complete an aptitude assessment comprised of an exam with complex tasks on relevant topics including mathematics, physics, informatics, electrical engineering, system theory and control engineering. Applicants will also have to provide a proof of sufficient German skills should German not be their native language and a proof of sufficient English should English not be their native language. 

Training Offer Details

Target audience
Digital skills for ICT professionals and other digital experts.
Digital technology / specialisation
Digital skill level
Geographic scope - Country
Germany
Industry - field of education and training
Information and communication technologies not elsewhere classified
Target language
English
Geographical sphere
National initiative
Typology of training opportunties
Learning activity
educational programme
Assessment type
Training duration
Is this course free
No
Is the certificate / credential free
No
Effort
Full time
Credential offered
Qualification Award
Self-paced course
No