Electrical Engineering – Automation

Technologies are becoming smarter, systems more interconnected, and technical infrastructure increasingly reliant on software, data and automation. This is precisely why traditional engineering knowledge is often no longer sufficient today. On the Master’s programme in Electrical Engineering – Automation in Mittweida, you will develop into an engineer who not only understands complex technical systems but also actively designs them – from autonomous systems and intelligent sensor systems to secure embedded and IoT applications.

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Facts and figures

Faculty
Engineering Sciences
Academic degree
Master of Science
Course of studies
4 Semesters
Start
Winter semester
Master of Science (M.Sc.)

Electrical Engineering – Automation

The distinctive feature of this Master’s programme lies in its combination of automation, software, AI and technical systems expertise. Rather than limiting yourself to a narrow field of specialisation, you will learn how systems function as a whole: hardware, communication, data processing, security and intelligent control are all interlinked. 

Electrical Engineering – Automation deliberately emphasises both a close link to research and a practical focus. You’ll work on real-world problems in robotics, machine vision, embedded systems, autonomous systems and industrial digitalisation. As a result, the Master’s programme doesn’t feel like ‘lectures plus exams’, but rather like contributing to the development of future technologies.

What sort of content can I expect?

An overview of the course content

Small groups, direct contact with lecturers and modern laboratories ensure that ideas do not remain purely theoretical at Mittweida. This applies to both Master’s specialisations, as you choose one of the two options right at the start of your studies.

The ‘Networked Intelligent Systems’ specialisation brings together electrical engineering, artificial intelligence and IT security. You’ll work with IoT systems, embedded software and AI frameworks, and develop technologies used in autonomous mobility, smart factories and critical infrastructure. The combination of AI, technical reliability and cybersecurity creates a specialisation that traditional degree programmes do not cover.

Automation/Mechatronics, on the other hand, is aimed at students who want to physically set complex technical systems in motion. Controlled drives, digital production and process integration combine modern automation with Mechanical Engineering and production technologies.

Advanced Mathematical Methods

In the specialisation ‘Networked Intelligent Systems’:

  • Processes and Methods of Software Development
  • 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

In the Automation/Mechatronics specialisation:

  • Robotic Systems
  • Modelling/Simulation of Electric Drives
  • Controlled Drive Systems

1 compulsory elective module:

  • Digital Signal Processing
  • Microcontrollers: Embedded Systems I

1 compulsory elective module:

  • Business Planning
  • Research and Development Project

Research and Development Project I

Control Units/Software/Networking: Embedded Systems II

In the specialisation ‘Networked Intelligent Systems’:

  • Artificial Intelligence: Theory and Foundations
  • Networked Systems and the IoT
  • Image Processing and Machine Vision

1 compulsory elective module:

  • App Development (iOS)
  • Theoretical Electrical Engineering

In the Automation/Mechatronics specialisation:

1 compulsory elective module:

  • Graphs and Networks
  • 3D printing processes

1 compulsory elective module:

  • Lighting and Building Systems Technology
  • Construction and Sensor Materials

1 compulsory elective module:

  • Image Processing and Machine Vision
  • Finite Element Method (FEM)

Research and Development Project II

In the specialisation ‘Networked Intelligent Systems’:

  • Artificial Intelligence: Frameworks and Applications
  • Mobile Autonomous Systems
  • Security and Safety
  • Wireless Communication
  • Stochastic processes with applications in signal processing

In the Automation/Mechatronics specialisation:

  • Measurement Technology/Electromagnetic Compatibility
  • Technical Reliability
  • Selected chapters on AI and Data Science

1 compulsory elective module:

  • Electrical Power Systems
  • Mechanism Design

1 compulsory elective module:

  • Digital Production
  • Process Integration/Control Systems

Master's thesis

„Through the ‘Networked Intelligent Systems’ degree programme, I am deepening my knowledge at the interface between computer science and electrical engineering. I find the focus on embedded systems, AI and software ideal for this. The lecturers bring valuable insights from industry directly into the course.”
Denise
Aged 25, from Chemnitz, currently in the second semester of a Master’s degree in Electrical Engineering – Automation
„The Electrical Engineering degree programme at HSMW covered and explored a wide range of subject areas to prepare me for the variety of potential career paths. From project management and materials science to app development, the course covered it all, though I particularly enjoyed traditional hardware and Software Development. Thanks to the close links between the lecturers and various industry partners, I was able to put the knowledge I’d gained at university into practice and build on it whilst working as a student trainee directly within a company.”
Alexander
33, from Chemnitz, holder of a Bachelor’s and Master’s degree in Electrical Engineering – Automation
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Electrical Engineering – Automation in Mittweida

In summary – Electrical Engineering – Automation in Mittweida

Description

A full-time Master’s programme at the intersection of electrical engineering and applied AI.

Academic degree
Master of Science
(120 Credits)
Regular study period
4 Semesters, Full-time study
Start
Winter semester
Course language
german
Admission restriction
No
Costs per semester
Semester fee 107€
Afterwards?

Professionally, the Master’s in Electrical Engineering – Automation opens the door to roles where a comprehensive understanding of technology is crucial: for example, as a development engineer for intelligent systems, a systems engineer, an AI engineer in an industrial setting, an automation engineer, embedded systems developer, robotics specialist or technical consultant for digital production systems. Roles in research and development or embarking on a PhD programme are also typical career paths.

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Study Information Evening (Studieninformationsabend)

11 November 2026 | 5.00 pm to 7.00 pm

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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 at hs-mittweida.de/bewerben. Once you have submitted all the forms and supporting documents, you can enrol on the course. Once you have enrolled, your place at Mittweida is secured.

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)!

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Do you have any more questions?

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.

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.

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  Lisa Viehweg
Lisa Viehweg
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Dienstags 13:30 bis 15:30 Uhr
Mittwochs 9 bis 11 Uhr
Donnerstags 14 bis 17 Uhr
Freitags 9 bis 11 Uhr

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What is the HSMW?

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There are more than just five good reasons to study in Mittweida. The most important one: over 90 specialised degree programmes that consistently focus on practical professional skills. Because, particularly in the age of AI, it’s not just about having learnt the theory, but about successfully applying it in practice.

But your time at university is about more than just acquiring knowledge. The HSMW campus is reminiscent of a US university – a small university somewhere in the Midwest. In Mittweida, everything is within easy walking distance, so you can study more comfortably, in a more relaxed and focused way – thanks in part to affordable rents. Instead of having to finance your living costs with part-time jobs, you can make the most of the vibrant campus life.

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dedicated staff
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