- Degree
- Master of Science
- Course location
- Köln
- Teaching language
- • English
- Languages
- All compulsory courses and the vast majority of elective modules are held in English.
A very small subset of elective modules within the area of mathematics and computer science is offered in German. However, students can study the programme 100% in English.
- Full-time / part-time
- • full-time
- Mode of study
- Less than 50% online
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- 15 July for the following winter semester (starting in October)
Application opens beginning of June
Please note that candidates who did not complete their secondary education in Germany must request a preliminary review documentation (VPD) from uni-assist (recommendation: please apply for the VPD as early as possible, at least three weeks prior to the application deadline of UoC).
Applications are only possible for the winter semester.
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The MSc Computational Sciences is an interdisciplinary programme offered by the Faculty of Mathematics and Natural Sciences. Its aim is to acquire computational methods to answer outstanding questions in the natural sciences.
Students will learn modelling, simulation and data science techniques together with advanced methods of computer science and applied mathematics to apply in their chosen area of specialisation. Each student is advised to choose one of the five offered areas of specialisation:
• Computational Astrophysics and Space Physics
• Computational Biology
• Earth System Sciences
• Theoretical Chemistry
• Theoretical Condensed Matter Physics
Within the first two semesters, the students attend courses and lectures to gain expertise in simulation and modelling as well as their area of specialisation. The last two semesters of the studies focus on the research project in the framework of the Master's thesis within the chosen area of specialisation.