Autonomous Systems (M.Sc.)


Autonomous Systems (Master of Science)

(Autonome Systeme, M.Sc.)


General Information

Degree: Master of Science
Duration: 4 semesters
Language: German (individual courses in English)
Internship: -
Requirements for Admission: Requirements for admission to the Master’s degree programme (and thereby university enrolment) comprise a “Bachelor of Science” degree in Informatics or an equivalent degree. Admission to the Master’s Degree programme may also depend on additional requirements. Specific degree entrance requirements may be found here and in the competences description. For further questions please contact the departmental advisor’s office. Please also note the general information on the Master’s degree programmes, including information for students with degrees from abroad: International Admission.
Admission Procedure: As long as the requirements for admission are fulfilled, there is no restriction on admission.
Part-time Studies: possible under specific conditions
Programme Start: winter semester or summer semester
Application Deadline: July 15 (for winter semester); January 15 (for summer semester).
Please note: You should apply well before the deadline (~ 12 weeks) if you also need to apply for visa.
Application: Online application
Special Features: —

Brief Description

The degree programme Master of Science Autonomous Systems with a stronger emphasis on research is almost unique in Germany and deepens the IT and engineering skills and mathematical-scientific knowledge acquired in the Bachelor’s degree programme. This specialised Master’s degree programme focuses on the fundamentals and applications of technical autonomous systems, such as intelligent robots, characterised by different sensor-based perception and actuator-based physical interaction skills. Their capabilities are based on a variety of methods from different disciplines (with computer science as the key area) that are implemented into complex high-performance software systems.

Semester Course Schedule (print version)
Semester Course Schedule (print version)

The striven for new generations of intelligent (semi-)autonomous robotic systems are a representative class of examples. These enable various areas of application such as the cooperation with and the physical support of humans in industrial production, or in the nursing sector (assisting the elderly and disabled), and the medical sector (actively supporting prostheses and orthoses, robot-assisted minimally invasive surgery) as well as applications in the areas of transport (selfdriving transport vehicles for people and goods), security (monitoring chemical production plants, reconnaissance and rescue missions in disaster situations) and many more. All of these applications are of high relevance for the current and future development of Germany’s economy and require solutions to a number of fundamental scientific and application-related problems.

The programme adapts to the students’ personal preferences by offering numerous electives and areas of specialisation within specified framework conditions. Therefore, the students are required to prepare an individual examination plan before registering for the first elective subject exam. The students also have the possibility to complete a part of the programme at a University abroad.

The Master of Science programme Autonomous Systems is divided into five elective subject areas that represent the core areas required for Autonomous Systems where the students acquire fundamental as well as application-oriented specialist skills and knowledge:

Elective Subject Area Sense: Computer Vision, Voice Communication Systems, Measurement and Sensor Technology.

Elective Subject Area Act: Foundations of Robotics, Dynamic Simulation of Multibody Systems, Mechatronic Systems Technology, Mechatronic Systems in Mechanical and Process Engineering, System Dynamics and Automatic Control Systems

Elective Subject Area: Plan e.g. Introduction to Artificial Intelligence, Robot Learning,.

Elective Subject Area Basis Technologies: offers courses from the areas of Simulation, Operating Systems and Microprocessors, Ambient Intelligence, Software Engineering, Networks, Security and Reliability, Visual Computing and Miscellaneous.

Elective Subject Area: Course-accompanying Achievments a choice of seminars, internships, projects, or research papers in the different fields of autonomous systems and robotics.

A permanently updated and expanded catalogue lists the possible modules of the five elective subject areas from which the students can choose.

As the last part, the Master’s Thesis concludes the programme. This independent research project takes an entire semester, thereby forming a major part of the Master’s degree programme. In their Thesis, the students apply their acquired knowledge and expertise to the solution of a given task within a set period of time and thus further deepen their skills and qualifications for working independently on complex problems in the area of Autonomous Systems.

Further information may be found on the programme information pages of the Department of Computer Science.


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