Overview

Automation has become indispensable in many branches of industry. From production and manufacturing systems to stationary and mobile robots to rail and road vehicles, automated systems are state of the art. In the beginning, firmly programmed processes were processed, today an adaptive behavior is a matter of course. The systems react to events in their environment and make an appropriate decision. The systems are no longer just automated, but increasingly autonomous. In order for such systems to work safely, reliably and efficiently, knowledge from various disciplines is required. Computer science, information processing, electrical engineering and mechanical engineering are very important, but by no means all of the affected areas are named. And more:

The “Autonomous Systems” master’s degree follows this idea by offering a cross-faculty study program. With the participation of the "Computer Science, Electrical Engineering and Information Technology", "Energy, Process and Biotechnology" and "Construction, Production and Vehicle Technology" faculties, it bridges the gap between the basic and application-oriented subjects.

 

ENTRY REQUIREMENTS

The prerequisite is a degree in at least a six-semester bachelor's degree (or an equivalent degree) in electrical engineering and information technology, computer science, software engineering, aerospace engineering, mechanical engineering, vehicle and engine technology, technical cybernetics, mechatronics or in a related course of study. 
You will find complete information about the admission procedure, the necessary skills and the criteria for determining professional suitability in the admission regulations.

 

CAREER PROSPECTS

In numerous branches of industry and areas of everyday life, technical systems that can perform a task without human intervention are gaining in importance. The applications range from simple household aids to autonomous production facilities and means of transport to complex exploration robots on other celestial bodies. Highly trained specialists are urgently needed for the development of such systems. This development can be exemplified on the topic of autonomous driving, which is currently receiving a lot of national and international attention. In a survey by the online job exchange "Indeed" it becomes clear that the number of job advertisements on this topic increased significantly between 2014 and 2016. There are signs of a further acceleration in this trend,

This innovative course therefore covers the needs of the industry and imparts the knowledge that is urgently required there at a high professional level. Through the course, the students embark on a new and future-oriented path to adequately meet the challenges of the increasing digitization of life in general and of industry in particular. The analysis and development of autonomous systems require an interdisciplinary approach that makes use of methods in computer science, electrical engineering, control engineering and automation. As a result, the need for skilled workers on the part of the industry in this promising development and research area can be better met and a sustainable contribution to the international competitiveness of Germany as an industrial location.

We therefore expect that there will be great interest in the industry in the graduates of this master’s program. With its basic orientation, it enables graduates to work successfully throughout their entire professional life, as it is not limited to conveying current content, but also teaches theoretically substantiated, fundamental concepts and methods that endure beyond current trends. After completing their training, students are particularly able to responsibly work on tasks in various fields of application of the autonomous systems. You can transfer the concepts and methods you have learned to future developments. The aim of the course is that the qualification profile of graduates,

  1. The graduates have in-depth specialist knowledge in a selected area of ??application of networked autonomous systems.
  2. Graduates are able to successfully use the mathematical and engineering methods they have acquired to abstract, formulate and solve complex tasks in research and development in industry or in research institutions, to question them critically and, if necessary, to develop them further.
  3. Graduates can develop concepts and solutions for basic and application-oriented engineering issues. They used their creativity and scientific judgment to develop new and original methods for networked autonomous systems.
  4. In particular, the graduates are able to identify, find and obtain the information they need. You can plan and carry out analytical, model and experimental investigations. In doing so, they evaluate data critically and draw the necessary conclusions from it.
  5. The graduates have acquired various technical and social skills (abstraction skills, system-analytical thinking, teamwork and communication skills, international and intercultural experience, etc.) that prepare them well for management tasks.


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