Specifics of the Program

A Computational Materials Scientist has a solid theoretical understanding of all relevant physical concepts; a Computational Materials Scientist is furthermore equipped with detailed conceptional and numerical knowledge of how the corresponding simulation methods work and is able to use them with ease in order to solve new problems. And if there’s no “of-the-shelve” method, a Computational Materials Scientist is able to use her or his programming skills to adjust existing simulation models or even to write physically-based simulation methods from scratch.

Theoretical concepts introduced during CMS lectures will be illustrated by cutting-edge research applications. During research seminars the students will have the possibility to interact with leading scientists and experienced engineers from industrial partners outside the university. During accompanying hands-on exercises the application of all relevant state-of-the art simulation methods will be learned – which is only one of the truly outstanding aspects of this course. CMS students are chosen among the top 3% of their undergraduate classes, ensuring an excellent and intense study environment. Small classes of about 20 students foster interaction and discussions and allow students to develop their own ideas.

The content of CMS lectures is regularly updated to reflect the current state-of-the-art. New topics like Materials Informatics and Machine Learning are added to the curriculum to reflect the current demands of academic research as well as industry. Students also have  the opportunity to hone their programming skills during their Personal Programming Projects and an optional internship.

Graduates of CMS are in demand both in Industry in Germany as well as academic research. Many have continued further as Ph.D. students at various institutes of the TU Bergakademie Freiberg. They have found positions as research associates (Ph.D. scholars) at reputed universities like KIT, Ruhr University Bochum etc. Graduates have also found reputed engineering and leadership positions in organizations like EDAG Engineering, Iinovis, Infineon, Schrödinger Inc., amonst others.