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Facts and figures
Networked Intelligent Systems
Whilst many AI or computer science degree programmes focus primarily on algorithms and applications, here in Mittweida we view intelligent systems as comprehensive technical solutions. From microcontrollers through signal processing to AI applications, this Master’s programme will help you develop an understanding of the entire system architecture.
What makes the Networked Intelligent Systems programme in Mittweida special is the combination of hardware expertise and modern Software Development, which is essential for autonomous driving and networked production. The Master’s programme is therefore particularly suitable for anyone who sees themselves not merely as users of new technologies, but who also wishes to play an active role in shaping them.
An overview of the course content
Networked Intelligent Systems require the interplay of various technologies. On this Master’s programme, you will focus on how embedded systems are developed, how devices communicate with one another, and how data is used to make intelligent decisions. Topics such as artificial intelligence, the Internet of Things (IoT), machine vision, wireless communication and autonomous systems illustrate how modern technical products are constructed. At the same time, you will explore cryptography, security and safety – because intelligent systems must not only function, but also be trustworthy and resilient.
Research and development projects play a central role in this. You’ll work on challenging problems in the fields of embedded systems, networking, autonomous systems and artificial intelligence. Rather than simply applying your knowledge in the laboratory, you’ll develop your own solutions, evaluate technologies and put innovative concepts into practice.
Advanced Mathematical Methods
Software Development Processes and Methods
Digital Signal Processing
1 compulsory elective module:
- Foundations of Modern Cryptography
- Microcontrollers: Embedded Systems I
1 compulsory elective module:
- Software Technologies for Networked and Intelligent Systems
- Technical Reliability
1 compulsory elective module:
- Business Planning
- Research and Development Project
Research and Development Project I
Control Units/Software/Networking: Embedded Systems II
Artificial Intelligence: Theory and Foundations
Networked Systems and IoT
Image Processing and Machine Vision
1 compulsory elective module:
- App Development (iOS)
- Theoretical Electrical Engineering
Research and Development Project II
Artificial Intelligence: Frameworks and Applications
Mobile Autonomous Systems
Security and Safety
Wireless Communications
Stochastic processes with applications in signal processing
Master's thesis
Electrical Engineering – Automation in Mittweida
In summary – Networked Intelligent Systems in Mittweida
Master’s specialisation in the degree programme in Electrical Engineering – Automation
(120 Credits)
By specialising in Networked Intelligent Systems as part of the Master’s specialisation in Electrical Engineering – Automation, you will gain the qualifications needed for challenging, future-oriented fields that are constantly growing. Graduates go on to work, for example, as AI engineers, embedded systems developers, IoT architects, machine vision specialists, security engineers or systems engineers for autonomous and networked systems. Research and development, industrial digitalisation and safety-critical applications also offer attractive career opportunities.
Application and Admission
Applicants must hold a first professional degree comprising 180 ECTS credits (Bachelor’s) in Electrical Engineering – Automation or Mechatronics. A different, comparable degree in a science or technology subject also qualifies applicants for admission to the programme.
Language skills:
Applicants who did not obtain their university entrance qualification at a German-speaking institution must also provide evidence of sufficient German language proficiency. The required language level is C1 according to the Common European Framework of Reference for Languages (CEFR).
Proof of this can be provided, for example, by taking the ‘German as a Foreign Language’ (TestDaF) at the preparatory college of Mittweida University of Applied Sciences – with an average score of TDN 3 in the areas of reading comprehension, listening comprehension, written expression and oral expression – or by means of an equivalent certificate.
The application period for the coming winter semester begins on 15 April and ends on 15 July. You can register for the Master’s programme in Electrical Engineering – Automation at hs-mittweida.de/bewerben. Once you have submitted all the forms and supporting documents, you can enrol on the programme. Enrolment secures your place at Mittweida.
For international applicants, the application period ends on 15 May. This earlier deadline allows you to obtain a visa in good time for the start of your studies in September.
Excellent study conditions combined with affordable rent mean one thing: you can focus on your studies and kick-start your career in no time. You’ll also benefit from a wide range of support services. For example, we’re here to help with tutorials if you ever get stuck with your studies; our start-up network, SAXEED, supports you in setting up your own business; and the Social Support Centre makes studying possible whether you’re a parent or facing physical or mental health challenges. And: there’s no shortage of fun. Which other university holds two music festivals a year on campus? Which one has an esports team with over 100 players? Mittweida University of Applied Sciences is different from what you might think. See for yourself at the Open Campus Day (Studieninformationstag) or the Night of Sciences (Nacht der Wissenschaften)!
Related degree programmes
Frequently Asked Questions
Yes, the degree programme is designed precisely for that: you choose one of the two specialisations – ‘Automation/Mechatronics’ or ‘Networked Intelligent Systems’.
Yes, absolutely. The Master’s programme is open to all graduates who have obtained a relevant Bachelor’s degree (e.g. in Electrical Engineering, Automation Engineering or Mechatronics) at another university or higher education institution. The only important thing is that the subject-specific foundations from their previous studies are suitable.
Yes, because the degree programme is extremely project-based. You spend a lot of time in the university’s laboratories and usually write your Master’s thesis in direct collaboration with an industrial company, which often enables you to make a seamless transition into your career.
There are no school-style holidays during your degree. Instead, there are lecture-free periods. During these, you can study, write assignments, undertake work placements – and treat yourself to a bit of a break now and then.
In the 2026/2027 winter term, in addition to public holidays, the following periods are lecture- and exam-free:
- 21 December to 3 January,
- from 22 February. Exception: The Faculty of Social Sciences begins its lecture-free period on 29 February.
In the 2027 summer term, with lectures starting on 22 March, the dates are:
- 25 March to 2 April,
- 7 May,
- 17 May,
- from 2 August. The Faculty of Social Sciences will also hold an examination week from 23 to 27 August.
As well as technical knowledge, you’ll need, above all, a high tolerance for frustration when troubleshooting complex systems, strong analytical skills and a passion for delving deeply into various subject areas.
This Master’s programme is the right choice if you wish to work in demanding research and development (R&D) later on, take on project management roles, or qualify for senior civil service positions and a possible PhD.
