Electrical Technologies

Master’s

Degree: Master of Science (M. Sc.)
Length of Study: 3 semesters
Course content: German
Enrolment: each summer and winter term (no admission restrictions)
Application deadlines for all semesters of study: November until 15.03. of each year  (summer term), May until 15.09. of each year (winter term)

Your future with a degree in Electrical Technologies

Graduates of this course work in mechanical and plant engineering, the automotive and aviation industries, automation technology, robotics or in the field of renewable energy innovations. The course is based on the bachelor's degree programs in 'Electrical Engineering', 'Mechatronics' or 'Industrial Engineering - Electrical Engineering'. It allows our students to expand and deepen their technical and methodological skills. Through the studies they learn to align social and personal skills with management, control and coordination tasks within the scope of future professional activity.

Good reasons to study Electrical Technologies at Kiel UAS

  • strong practical relevance of content
  • apllication of subject matter learnt in modern laboratories
  • well equipped
  • close support from lecturers
  • variety of contact in industry used for tasks throughout studies

Curriculum

1st semester of study

1st semester of study:

  • Vector analysis
  • Elective modules
  • Elective module interdisciplinary teaching
  • Compulsory elective module in energy technology
  • Modelling in electrical power engineering
  • Compulsory elective module in mechatronics
  • Modelling, simulation, optimisation of mechatronic systems
  • Compulsory elective module in communication technology
  • Systems theory

2nd semester of study

  • Numerical mathematics
  • Master’s project
  • Elective module
  • Compulsory elective module in energy technology
  • Intelligent electrical networks - smart grids
  • Compulsory elective module in mechatronics
  • Mechatronic actuators and drives
  • Compulsory elective module in the Communication Technology - Advanced Digital Signal Processing

3rd semester of study

3rd semester of study

  • Thesis
  • Colloquium