Objective and general conditions
Special emphasis is placed on the mutual relationship between computer science and materials science in this Master's degree program. The curriculum focus is on data analysis, machine learning and big data on the one hand and materials such as metals and alloys, glass and ceramics, polymers and composites on the other.
Students complete 12 modules (9 compulsory modules and 3 elective modules). The degree program begins with two elective modules which raise participants' prior knowledge of either subject (Materials or Computer Science) to the required entry level. You will take either introductory modules in data management, data processing and analysis, or the basics of materials science and materials technologies and structure-property relationships.
In the subsequent compulsory modules, students will acquire extensive knowledge and practical skills in areas including:
- Data mining and machine learning,
- Big data infrastructure,
- Digital image processing and analysis,
- Material data acquisition,
- Data basis for material modelling and process simulations, as well as
- Material models and simulation tools.
As a graduate with interdisciplinary competences in the field of materials informatics, you are able to take on the demanding tasks of a specialist as well as management tasks which require specific expertise at the interface between research and development tasks as well as data science methods in companies and research institutions in the field of materials science and materials engineering.
The graduate is also qualified to pursue a doctorate.