Autonomous Systems (Master of Science)
(Autonome Systeme, M.Sc.)
|Degree: Master of Science|
|Duration: 4 semesters|
|Language: German (individual courses in English)|
|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 student advisory service. 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 (Entrance Requirements Verification) are fulfilled, there is no restriction on admission.|
|Part-time Studies: possible under specific conditions|
|Programme Start: winter semester or summer semester|
|Application Deadline: International applicants find their application deadline here.|
|Application: Online application|
|Special Features: TU Darmstadt offers a Double Degree Programme at a partner university for this course.|
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.
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.
For further information please see the departmental webpage Ordnungen zum Master of Science Autonome Systeme.
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.
Advice for Prospective M.Sc. Students
While a Bachelor’s degree focuses mainly on the fundamentals of the field, the Master’s degree serves to upgrade the qualifications of graduates and to analyze the subject based on research. The Master’s degree focuses more than the Bachelor’s degree on enabling and requiring students to adopt their own major focus.
For these reasons it is recommended that students complete a Master’s degree.
Related Degree Programmes
|Computational Engineering (M.Sc.)|
|Distributed Software Systems (M.Sc.)|
|Computer Science (LaG) (Informatik, Lehramt an Gymansien)|
|Computer Science (B.Sc.) (Informaitk, B.Sc.)|
|Computer Science (M.Ed.) (Informatik, M.Ed.)|
|Computer Science (M.Sc.) (Informatik, M.Sc.)|
|Information Systems Technology (M.Sc.) (Informationssystemtechnik, M.Sc.)|
|Internet and Web-based Systems (M.Sc.) ( Internet und Web-basierte Systeme, M.Sc.)|
|IT Security (M.Sc.) (IT Sicherheit, M.Sc.)|
|Psychology in IT (M.Sc.) (Psychologie in IT, M.Sc.)|
|Business Informatics (M.Sc.) (Wirtschaftsinformatik, M.Sc.)|
|Visual Computing (M.Sc.)|
Upon successful completion of a Master of Science degree, there is the opportunity to begin working towards a Ph.D. either at the TU Darmstadt or at another national or international university. Further information on doctoral studies at TU Darmstadt:
Ingenium – Young Researchers at TU Darmstadt (umbrella organisation for promoting early career researchers)
Graduates of the Master’s degree programme Autonomous Systems can expect an innovative and promising labor market with manifold prospects in industry, business, and research. They can work as development engineers or software developers in research institutions or in fields of research, development, and application of technical autonomous systems in companies.
It is important to start early in the degree programme to gain practical work experience in relevant organisations. In this way students can promote themselves as competent professionals in practice and make important professional contacts. The likelihood of finding a good position is definitely heightened if the student is flexible when it comes to commuting or even moving abroad. Good English language skills are particularly important when it comes to the international job market.
TU Darmstadt's offer of Job Shadowing is a quick and simple method of career orientation by accompanying professionally experienced TU Darmstadt alumni for one day.
Further information about career opportunities on the German job market may be found on the following websites: