This is an English‑taught, research‑focused Master's in the field of mechanical engineering that is organised over three semesters. In the first two semesters you will develop your own research topic while taking targeted courses that prepare you for independent scientific work. The programme blends selected advanced electives with methodological training to give you both subject knowledge and research skills.
During semesters one and two you are required to attend two specific elective lectures and two methodological courses that support your thesis work. The third semester is reserved for completing and submitting your Master’s thesis, allowing you to concentrate fully on carrying out the research project you developed earlier in the programme.
Requirements and key components
Overview
This research-focused master’s curriculum centers on hands-on study and investigation carried out in international teams within modern laboratories and research institutes. The program emphasizes collaborative projects where students work alongside peers and researchers from different countries and disciplines, gaining practical experience in contemporary lab environments and research facilities.
What you will do and learn
Students undertake team-based experimental and investigative work, developing practical laboratory proficiency and familiarity with current research infrastructure. Coursework and project work are organized around research activities in materials and manufacturing, with an emphasis on applying scientific methods, troubleshooting experiments, and interpreting data. Regular interaction with supervisors and collaborators enhances problem-solving, project management, and cross-cultural teamwork skills.
Key learning outcomes
Program components and expectations (concise)
This research-oriented Master's targets high-achieving graduates with a background in natural sciences or technology who wish to pursue advanced work in research and development. Applicants with a specific interest in areas such as Artificial Intelligence and Machine Learning are particularly welcome.
Candidates must demonstrate solid academic performance and a clear motivation for research. International applicants should ensure their grades are expressed in a way comparable to the German system or contact the admissions office for help with grade conversion.
Winter Semester (International)
15 March 2026
Summer Semester (International)
15 September 2026
Winter Semester (EU/EEA)
15 March 2026
Summer Semester (EU/EEA)
15 September 2026
Graduates are prepared for research and development roles in industry and research institutes within materials science and advanced manufacturing, as well as for continuation to doctoral studies. The combination of methodological training, hands‑on laboratory work and industry internships equips students for technical specialist positions and R&D project roles, including areas where manufacturing intersects with AI and machine learning.
TU Dortmund University — Dortmund
Esslingen University of Applied Sciences — Esslingen am Neckar
TU Bergakademie Freiberg — Freiberg
University of Siegen — Siegen