24 monthsProgramme duration
3,000 EURTuition Fee/year
30 Sep, 2026Application Deadline
Oct, AprStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Scientific Computing students work to develop applied mathematics methods and algorithms, implement these methods using modern computing technologies, and apply them to real-world problems.
This research- and application-oriented Master's program focuses on the mathematical specialization area of Scientific Computing. In addition to in-depth specialist knowledge, students primarily acquire scientific methodological competence in mathematics and computer science. Including, from mathematics:
- Numerical methods for ODE and PDE
- Statistics and data analysis
- Differential geometry and computer algebra
- Linear and nonlinear optimization methods
- Computational methods in fluid dynamics
as well as from computer science:
- Parallel computing
- Scientific visualization
- Mixed/Whole Number programming
- Spatial databases
In addition, students choose an accompanying area of application. The University offers a wide range of options in the natural sciences, life sciences and medicine, economics and social sciences, and the humanities.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Scientific Computing students work to develop applied mathematics methods and algorithms, implement these methods using modern computing technologies, and apply them to real-world problems.
This research- and application-oriented Master's program focuses on the mathematical specialization area of Scientific Computing. In addition to in-depth specialist knowledge, students primarily acquire scientific methodological competence in mathematics and computer science. Including, from mathematics:
- Numerical methods for ODE and PDE
- Statistics and data analysis
- Differential geometry and computer algebra
- Linear and nonlinear optimization methods
- Computational methods in fluid dynamics
as well as from computer science:
- Parallel computing
- Scientific visualization
- Mixed/Whole Number programming
- Spatial databases
In addition, students choose an accompanying area of application. The University offers a wide range of options in the natural sciences, life sciences and medicine, economics and social sciences, and the humanities.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
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