Overview
This English-taught master’s program trains students to design and apply mechatronic systems enhanced with intelligent methods such as artificial intelligence and machine learning. It is aimed at those who want to work at the crossroads of mechanics, electronics and computer science, combining these areas to build innovative, smart solutions. The curriculum places particular emphasis on integrating AI, machine learning and intelligent control into traditional mechatronic components.
What you’ll study and why it matters
The programme offers a broad selection of elective modules so you can tailor your studies toward interests like autonomous systems, adaptive control or efficient embedded solutions. The focus is on creating autonomous, adaptive and resource‑efficient systems that are applicable across many sectors — for example automotive, robotics and other industrial automation fields. Hands-on development and interdisciplinary problem-solving prepare you to contribute to next‑generation intelligent systems.
Career prospects
Graduates leave equipped for demanding roles in research, development and industry, where they can help design and implement advanced mechatronic solutions. The degree is positioned as a forward-looking qualification for students who want to shape intelligent, connected systems in commercial and research environments.
Typical entry expectations
The programme brings together mechanical engineering, electronics and computer science topics with a strong emphasis on intelligent methods (AI, machine learning and intelligent control). Students choose from a wide range of electives to specialise in areas relevant to autonomous and adaptive systems.
Learning outcomes include the ability to integrate mechanical, electronic and software components into coherent mechatronic systems, to apply AI and machine-learning techniques for sensing, decision-making and control, and to design efficient, autonomous solutions for industry applications such as automotive systems and robotics. The course structure also supports practical and international experience through elective internships and encouraged study-abroad semesters.
This master's programme expects applicants to hold a strong first degree: an “excellent” or “good” result, specified as a grade of 2.5 or better. The standard entry qualification is a bachelor’s degree that corresponds to 210 ECTS credits.
If your bachelor’s programme comprises only 180 ECTS, you may still be considered for admission. In that case you will be required to make up the missing 30 ECTS before or during your studies by either completing suitable undergraduate courses at Heilbronn University or by completing a six‑month internship that the programme recognises.
If your bachelor’s degree was awarded outside Germany, you must have it officially declared equivalent to a German first degree before you apply. For full details on the application steps and any document requirements, consult the programme’s website.
Key requirements (concise)
Winter Semester (International)
15 June 2026
Winter Semester (EU/EEA)
15 June 2026
Graduates are prepared for roles in research, development and industry that require interdisciplinary expertise in mechatronics and intelligent systems. Typical career paths include R&D engineering in automotive suppliers, robotics companies, automation and control firms, and technology-driven industrial sectors that develop autonomous or adaptive systems.
The programme’s blend of AI/ML techniques with traditional mechatronics equips students to contribute to product development, system integration and algorithm development teams. International students benefit from the English-language offering and opportunities for exchange, which can support careers in global engineering and technology companies.
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