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Facts and figures
Electrical Engineering – Automation
Electrical Engineering – Automation is aimed at anyone who wants to play an active role in shaping modern technology. You’ll develop a broad technical understanding, gain practical experience and specialise in future-oriented technologies in automation, electromobility or Mechatronics. All of these fields are in high demand across industry and the technology sector.
What makes Mittweida special is the combination of broad-based orientation and specialisation. First, you’ll discover what really interests you: you won’t choose your specialisation until after your first year of study. In the process, you’ll learn not only how technology works, but also how it’s actually used in industry.
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An overview of the course content
During your degree, you will learn how intelligent technical systems are designed, controlled and networked. You will study sensor technology, robotics, microcontroller technology, control engineering and industrial communication, and gain an understanding of how these elements come together to create automated processes. Rather than simply looking at individual components, you’ll develop the mindset of a modern engineer: you’ll analyse complex systems, integrate hardware and software, and find solutions to real-world technical challenges.
With specialisations in Automation – Industry 4.0, Networked Electromobility or Mechatronics, you can tailor your studies specifically to future technologies. At the same time, you’ll work on real-world projects in a practical setting, making use of modern laboratories and technical infrastructure. To further expand your practical experience, you can work on your own Formula car at our university’s own technical centre, Mittweida Motorsport.
Fundamentals of Electrical Engineering I
Fundamentals of Information Technology
Electrical Systems Development
Materials Science
Fundamentals of Design and E-CAD
Mathematics
Fundamentals of Electrical Engineering II
Mechanical and Electrical Measurement Techniques
Fundamentals of Physics
transversal skills
Procedural Programming
Mathematics – Specialising in Analysis
Digital technology
Analogue technology
Business Management
3 specialisation modules:
In the specialisation ‘Automation – Industry 4.0’:
- Signals and Systems
- Microcontroller Technology
- Fundamentals of Communication Networks
In the specialisation in Networked Electromobility:
- Fundamentals of Communication Networks
- Microcontroller Technology
- Signals and Systems
In the Mechatronics specialisation
- Engineering Mechanics
- Fundamentals of Manufacturing Technology
- CAD Techniques
Fundamentals of Control Engineering
5 specialisation modules:
In the ‘Automation – Industry 4.0’ specialisation
- Sensors and Actuators
- Industrial Control
- Robotics
- Digital circuit design with VHDL + FPGA
- Electrical Machines
In the specialisation in Networked Electromobility
- Car2Car
- Mobile Energy Storage
- Electrical Machines
- Sensors and Actuators
- Digital Circuit Design
In the Mechatronics specialisation
- Sensors and Actuators
- Industrial Control
- Robotics
- Mechanism Design
- Machine Elements I
6 specialisation modules:
In the specialisation in Automation – Industry 4.0:
- Electromagnetic Compatibility
- Introduction to IT security
- Process Integration/Control Systems
- Electric drive systems
- Power Electronics
- Elective module (1 out of 2): Hydraulics/Pneumatics or Selected Topics in Higher Mathematics
In the specialisation in Networked Electromobility:
- Electromagnetic Compatibility
- Introduction to IT security
- Electric Drive Systems
- Power Electronics
- CAD Techniques
- Elective module (1 out of 2): Machine Dynamics or Selected Topics in Higher
In the Mechatronics specialisation:
- Mechatronics Product Development
- Electric Drive Systems
- Microcontroller Technology
- Machine Dynamics
- Hydraulics/Pneumatics
- Machine Elements II
Practical module
: Independent scientific and practical work within a company
Duration: 12 weeks
Bachelor’s
thesis: Final, independent academic thesis
Duration: 12 weeks
Electrical Engineering – Automation
In summary – Electrical Engineering – Automation in Mittweida
Full-time Bachelor’s degree programme in Electrical Engineering and Automation
(180 Credits)
After graduating with a degree in Electrical Engineering – Automation, you could work, for example, as an automation engineer, a development engineer for intelligent systems, a project engineer in industrial automation, or in the fields of electromobility and robotics. Roles in production, technical development, industrial IT or international plant engineering are also typical career paths. You’ll be in particularly high demand wherever technical systems are intelligently controlled, networked and automated.
Application and Admission
Applicants must hold a general university entrance qualification, a university of applied sciences entrance qualification, a subject-specific university entrance qualification or an equivalent recognised qualification. Applicants who have completed vocational training and have at least three years’ professional experience may also be admitted following a consultation and a successful entrance examination.
Language skills:
Anyone who did not obtain their university entrance qualification at a German-speaking institution must demonstrate German language proficiency at level C1 of the Common European Framework of Reference for Languages. Proof of this can be provided, for example, by passing the ‘German as a Foreign Language’ (TestDaF) test at the Mittweida University Preparatory College with an average score of TDN 3 in all four sections, or by presenting an equivalent certificate.
The application period for the winter semester begins on 15 April and ends on 15 July. You can register online via the HSMW application portal. Once you have submitted all your documents, you can enrol. Once you have enrolled, your place at Mittweida is secured. For international applicants, the application deadline is 15 May, to allow sufficient time to apply for a visa.
We’ve got you covered! Excellent study conditions, modern facilities and affordable rent allow you to focus fully on your studies. Tutorials are on hand to help with academic queries, the SAXEED start-up network supports you on your journey to developing your own business idea, and the Social Support Service offers assistance with specific life situations, such as childcare or caring for relatives. The campus also has plenty to offer: two music festivals a year, an active esports team and a vibrant student community. Discover just how diverse life in Mittweida is – at the Open Day or the Night of Science.
Frequently Asked Questions
You don’t need to be a maths genius or a hacker to get started, as we’ll start with the basics and teach you how to programme from scratch. However, a sound basic understanding of physical principles and a keen interest in solving logical problems are very helpful when it comes to understanding how complex systems work.
Yes, you can specialise your profile by choosing one of four specialisations. You can choose between Automation – Industry 4.0, Networked Electromobility, Mechatronics or Responsible Consumption and Production. You make your choice at the end of the second semester.
In Electrical Engineering, a semester abroad is usually optional, but is very much feasible thanks to a so-called ‘mobility window’ in the later semesters. It’s best to start planning a year in advance by visiting the International Office, which will help you choose a partner university and sort out funding (e.g. Erasmus+). However, for the ‘Responsible Consumption and Production’ specialisation, a semester abroad is a fixed part of the programme and takes place at one of our partner universities.
Whilst traditional electrical engineering often focuses on energy flows and computer science remains purely within the world of code, automation is the connecting ‘brain’ that brings hardware and software to life. Compared to Mechanical Engineering, which is primarily concerned with physical design, here you’ll learn how to make these designs controllable through sensor technology and intelligent programming – so you’ll be the key generalist who ensures that machines can operate autonomously.