Become part of the next generation of innovation drivers. With the elective subject “Autonomous Intelligent Systems” in the Bachelor's degree programme in Electrical Engineering and Information Technology, you can help to shape the future!
Autonomous intelligent systems have evolved from a specialised discipline to an industrial necessity: billions of networked information technology components require systems to organise themselves. There is a broad trend towards the automation of applications and services, such as the Internet of Things, cyber-physical systems, Industry 4.0 and AI systems.
As a future engineer, you will revolutionise autonomous intelligent systems and enable machines to make their own decisions. In the process, you will use advanced algorithms, machine learning, and artificial intelligence. Start a future-oriented career and actively shape autonomous intelligent systems!
Exciting interdisciplinary projects and practical course content
Autonomous intelligent systems are set to transform not only the world of technology, but also everyday life. From self-driving cars to drones and intelligent robots, these technologies promise to improve numerous aspects of human life.
For decades, research at our institutes has actively contributed to the design of powerful, reliable and functionally secure computers, their communication networks and automated driving. We combine advanced theory with computer and network architecture to create practical hardware and software designs, and have already made fundamental contributions to the realisation of automated road vehicles.
As a student, you will have the opportunity to work on projects with international academic and industrial partners as early as your bachelor's degree. In the master's programme, you can get more involved in research projects and participate in international project meetings and conferences.
Career opportunities after graduation
A degree in “Autonomous Intelligent Systems” from the Department of Electrical Engineering and Information Techology at TU Braunschweig opens up a wide range of career opportunities in various industries and research institutions that develop and use innovative technologies, such as:
- Development of autonomous vehicles and transport systems in the automotive industry.
- Designing and implementing robots for manufacturing, healthcare and more.
- Designing intelligent software solutions in the fields of AI and data analytics.
- Working on cutting-edge technologies in university and industrial research facilities.
As a graduate, you will work in a creative environment with experts from a variety of disciplines, constantly facing new challenges and opportunities. In addition, you will be challenged to think through major safety and ethical requirements and find creative solutions.
Information on the study programme
Five areas of specialisation lead to promising fields of work
During your studies in Electrical Engineering and Information Technology, you can choose from five innovative, partly interdisciplinary specialisations. Design the focus of your studies according to your interests:
The “Autonomous Intelligent Systems” elective opens the door to one of the most innovative and promising areas of technology today. The programme combines computer science, robotics, artificial intelligence and engineering to prepare you for the challenges and opportunities associated with autonomous technologies.
You will learn the broad foundations of computer science and mathematics, as well as specific disciplines such as artificial intelligence, machine learning, sensing and robotics. With a multidisciplinary curriculum, you will be specifically prepared to thoroughly understand the design, development, and implementation of autonomous systems.
Professors are internationally recognised experts in their research areas. Together with research associates, they cover modern theoretical models and concepts as well as practical implementations and standards. Practical laboratories are an important component for applying theoretical knowledge to demonstrators and prototypes.
Those who have gained experience abroad and speak a foreign language are particularly sought after by the economy. Today, large companies operate globally, research projects are carried out in international teams and specialised literature is written in English. It is therefore important that you take advantage of your studies to gain experience abroad and to professionalise your foreign language skills.
Within the framework of our international university partnerships, we offer you many opportunities to study abroad:
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Europe: with universities in, for example, Scandinavia, Southern and Eastern Europe
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North America: with universities in the USA and Canada
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South America: with universities in Argentina, Brazil, Chile and Mexico
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Asia: with universities in India, China, Japan and South Korea
Studying abroad [in German only]
You can use the self-assessment of TU Braunschweig: Fit4TU is a computer-assisted questionnaire to assess your own expectations as well as the knowledge and skills needed for the degree programme.
Areas of employment Graduates will be able to take up leading positions in various industrial sectors, in particular in electrical engineering and information technology, in the semiconductor industry, the energy industry, the automotive industry, in mechanical and plant engineering or in the software industry, as well as to pursue independent research.
A degree in Engineering in the field of "Autonomous Intelligent Systems" will open up a wide range of career opportunities in professional fields that develop and use innovative technologies - from the automotive industry to medical technology and agriculture. Start a future-oriented career and actively shape Autonomous Intelligent Systems!
Admission requirements and application
You will need a formal university entrance qualification to apply for the programme. If you do not have the German Abitur, you can check our summary [in German only] to find out which degree programmes are available to you depending on your educational background.
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