- Degree
- Master of Science (MSc)
- Course location
- Bochum
- Teaching language
- • English
- Languages
- Participants can choose to write the Master's thesis in either English or German.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- • Non-EU applicants: 15 March and 15 June for the following winter semester (we offer two deadlines with regard to different visa procedures)
• EU applicants: 15 September for the following winter semester
- Tuition fees per semester in EUR
- Varied
- Additional information on tuition fees
- In principle, there are no tuition fees at RUB. However, there are a few exceptions. Therefore, please inform yourself in advance about any additional costs for the degree programme you are interested in.
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- Students will obtain a comprehensive knowledge of materials science, physics and numerical methods. In particular, successful students will develop a profound knowledge and practical experience in applying advanced numerical and experimental methods on all the length and time scales that are relevant for materials. Thus, the Master's course of study will prepare excellent young scientists for successful careers in industry and academia. The curriculum was set up and will be continuously revised in coordination with the ICAMS partners, ensuring the maintenance of the programme's high standards in meeting the demands of current and future developments in research and industry.
Throughout this course, students acquire a basic knowledge in advanced experimental and numerical methods in materials science and engineering. In fundamental and advanced option lectures, the students can widen their outlook and deepen their basic knowledge on current challenges in materials sciences. They also have the possibility to gain practical experience by participating in research projects. Thus, they will gain hands-on experience with state-of-the-art numerical and experimental methods and develop the competences and skills required for problem solving.