Computational Materials Science (CMS)

The constantly accelerating technological progress of today's society requires engineers and scientists who have a sound knowledge of natural and materials sciences and are able to apply programming and simulation techniques as well as data processing and analysis. Computational Materials Science graduates become key players in industrial research and development; they shape scientific and engineering research that focuses on the design, processing and application of novel high-tech materials with superior mechanical, thermodynamic and electronic properties. At TU Bergakademie Freiberg, we bring together renowned researchers and enthusiastic lecturers from different scientific fields to provide our students with the education they need for an outstanding career in Computational Materials Science (CMS). Theoretical concepts presented in the CMS lectures are illustrated by state-of-the-art research applications. An intensive introductory seminar brings students up to speed with scientific programming and modern computing environments. During the research seminars, they have the opportunity to exchange ideas with leading scientists and experienced engineers at the industrial partners. In accompanying practical exercises, students learn how to apply all relevant modern simulation methods — and that is just one of the truly outstanding aspects of this degree programme. In elective subjects, you will be introduced to special topics in computational engineering/mechanics — or to advanced topics in data mining and machine learning in data-driven materials science. Among other things, you will learn the theoretical background and practical application of the following numerical/simulation methods: Linear/non-linear finite element methods (FEM) Molecular statics and molecular dynamics (MS/MD) Machine learning (ML), in particular Deep Learning (DL) Phase Field Methods (PFM) Statistical Analysis Methods Digital Image Analysis/Correlation Monte Carlo Methods (MC) Cellular Automata (CA) CMS students are in the top five percent of their year, which ensures an intensive study environment with excellent performance. Small classes encourage interaction and discussion and allow you to develop your ideas. In addition, the study environment shines with an exceptional ratio of teaching staff to the total number of students enrolled. For more, constantly updated information, visit the extra pages at https://cms-tubaf.de. Alumni experiences can be found here: https://cms-tubaf.de/CMS/international-master-in-computational-materials-science/experiences.html.