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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.  

Presential

The Deggendorf Institute of Technology (DIT) is offering a three-semester Master of Engineering programme in Artificial Intelligence for Smart Sensors and Actuators. 

 

Curriculum

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. 

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.  

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Additional information

Field of education and training
Information and communication technologies not elsewhere classified
Training opportunities
Educational programme
Learning Effort
Full time
Geographic scope - Country
Germany
Target language
English
Target group
High Achievers
Non-Native Speakers
Persons in tertiary education (EQF 6)
Persons with 0-3 years work experience
Native Speakers
Persons who have completed tertiary education (EQF 6)
Is this course free
Yes
Credential offered
Qualification Award

Digital technologies