Networked Intelligent Systems | Master
| Faculty | Engineering Sciences |
|---|---|
| Course of studies | Networked Intelligent Systems - Automotive Software Engineering |
| Degree | Master |
| Academic degree | Master of Science |
| Start | Winter semester |
| Regular study period | 4 Semesters |
| Category |
technology computer science |
| Type of study |
full-time studies |
| Course language | german |
| Description | specialization in the master's degree course in electrical engineering - automation |
| Admission restriction | No |
| Tuition | No |
| Credits | 120 |
| Accredited | Yes / Information on accreditation |
| Application portal |
Online application |
Study Objective
Develop the technologies that will revolutionise everyone's lives!
Whether in the automotive sector, medical technology or logistics - smart systems characterise the future of all areas of industry. These networked, intelligent systems enable autonomous operation by permanently analysing processes, making independent forecasts and decisions based on the available data. In order to perfect these systems, knowledge of artificial intelligence and software development is required in addition to electrical engineering expertise. The specialisation ‘Networked Intelligent Systems/Automotive Software Engineering’ on the Master's degree course in Electrical Engineering - Automation at Mittweida University of Applied Sciences teaches this.
Career Prospects
Alongside the search for the best sustainable type of drivetrain, autonomous driving is the future field of the automotive industry.
With our automotive engineering partner IAV, which has been researching automated driving technologies for manufacturers from Germany, Japan and the USA since 1995, we have therefore created our own study programme to meet the demand for highly specialised engineers who will shape the future of the automotive industry.
The potential revolution in individual transport is just one possibility for professional activity. Networked intelligent systems are changing the entire manufacturing industry. In the first stage, artificial intelligence will help people to increase efficiency by avoiding errors. Later on, fully autonomous factories may even emerge whose systems are monitored by humans in order to correct software and hardware errors.
The largest field of activity for our graduates is application-oriented research in automotive and industrial automation as well as hardware and software development for embedded systems. Immediately after graduation, IAV offers an employer in an environment full of research spirit. Self-employment as a consultant would also be possible.
Structure of the Programme
Small groups, individualised support and experienced experts as lecturers.
In order to realise the vision of autonomous driving and self-sufficient factories, the engineers involved must rule out all errors from the outset. For this reason, detailed knowledge of artificial intelligence and machine learning as well as software development for embedded systems is taught over three semesters.
To ensure that all our graduates reach this high level, we combine our expertise with that of IAV GmbH and the Saxon Institute for Computational Intelligence and Machine Learning. Two endowed professorships funded by industry ensure that experts from the field pass on their knowledge directly to students.
The bilingual specialisation "Networked Intelligent Systems/Automotive Software Engineering" is available both full-time and part-time. Students who already work professionally with networked intelligent systems complete the theory on two weekdays in Mittweida and use the research and development modules to scientifically work on examples from their real everyday working life.