The standard duration of the Intelligent & Autonomous Systems master’s programme comprises 3 semesters. The curriculum in the first semester reviews and advances relevant knowledge, including in the areas of machine learning, data science, and mathematics. Students choose three advanced modules and work on a practical project during the second semester. The third semester is devoted to the master’s thesis.

Modules

Current and detailed descriptions of the modules and courses are available in the module catalogue and the degree programme overview.

Required subjects

  • Technology Ethics
  • Statistics and Mathematics
  • Mathematical Foundations of Machine Learning
  • Trends in Intelligent Systems
  • Data Analytics
  • AI Accelerators
  • Language

Required elective courses

  • Environment Perception & Sensor Fusion
  • Intelligent Robotics
  • AI for Processing Biomedical Signals
  • Anomaly Detection

Project - comprised of

  • Project Paper
  • Project Seminar

Programme structure / plan

Degree programme overview

Possible specialisations

Currently, two specialisations are possible: 

  • Autonomous Systems
  • Medical Technologies 

The former focuses on mobile, autonomous robotics and the latter on medical engineering applications.

Master’s thesis

In the third semester, you will develop your specialist knowledge by means of your thesis. In your thesis, you will independently address a current and ambitious research or development topic. Theses may be completed in the context of a working group at the university or in external research organisations or companies.

Important documents