Computational Science and Engineering - Elite
Computational Science and Engineering (CSE) is the multi-disciplinary field of computer-based modelling and simulation for studying scientific phenomena and engineering designs.
To be eligible for the CSE Master's Program, you need either * an above-average bachelor's degree (from an internationally recognised university) in engineering or science or a related field, or * a diploma or master's degree (from an internationally recognised university) in one of the above-mentioned fields, or * an above average diploma or master's degree (from a university corresponding to a German Fachhochschule) in one of the above-mentioned fields. From winter 07/08, an excellent bachelor's degree will also be eligible.....
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The understanding of phenomena and processes from science and engineering is, today, no longer merely based on theory and experiment, but more and more on computations, as well. Numerical simulations supplement experiments, and sometimes even allow the study of technical systems and natural phenomena that would be too time-consuming, expensive, or dangerous (if possible at all) to study by experiment alone.
The increasing quest for higher levels of detail and realism in such simulations requires enormous computational capacity, advanced programming skills, and sophisticated models and algorithms. Due to the progresses in each of these fields, computational scientists and engineers can now solve large-scale problems that were once thought to be intractable.
The Master's Program on "Computational Science and Engineering" is an interdisciplinary course. Besides giving an introduction to the basic subjects "Applied Mathematics" and "Computer Science", the program will provide insight into different important fields of applications of scientific computing. To forge links to applications of CSE in industry, an industrial internship has been included, as well.
All mandatory courses of the program are held in English language, such that the master's program can be successfully completed without knowledge of the German language. However, courses that are offered within the application areas may be bilingual (German lectures and English course material or vice versa) or conducted in German, thus giving a broader choice of application fields. Courses may be provided by remote partner institutes as well. These courses will be realized either as block courses in Munich or web-based. If the master's thesis is made at such a remote institute, the candidate will spend his/her fourth semester there.
A Selection of the Program's Topics:
Rendering Relativistic rendering of an artificial geometry Numerical Analysis
* Introduction to numerical linear algebra
* Introduction to mathematical modelling
* Ordinary differential equations and their numerical treatment
* Partial differential equations and their numerical treatment
* Parallel Numerics
* Computer Architecture and Networks
* Parallel Programming, Programming of Supercomputers
* Programming, Algorithmics, and Software Engineering
Nantube simulation Molecular dynamics simulation of a Nanotube.
* Computational Fluid Dynamics
* Computational Structural Mechanics
* Computational Physics
* Computational Chemistry
* Computational Electronics
* Computational Biomechanics
* Imaging and Visualisation
* Parallel and Distributed Computing
The CSE master's program's duration is four semesters. The first year is dedicated to the basics of numerical analysis and computer science. An introduction to the field of scientific computing, including a practical course, will be given as well. After the second semester, there is an obligatory industrial internship.
Human brain Visualization of voxel data
of the human brain
From the second semester, the focus will gradually shift towards two areas of application of numerical simulation - like, for example, fluid dynamics, structural mechanics, or computational physics. These two subjects can be chosen by each student according to his/her individual background, and will be the second year's main focus. The fourth semester is dedicated to the master's thesis.
The courses are subdivided into four modules:
* Module A: Informatics / Computer Science
* Module B: Applied Mathematics / Numerical Analysis
* Module C: Scientific Computing
* Module D: Applications
jeweils zum Wintersemester
Regelstudienzeit (in Semestern) :-4
Eignungsfeststellungsverfahren/ Eignungsverfahren :-ja
Bewerbungsschluss :-March 31 (no extension)
Background in Science or Engineering
The CSE master's program is primarily intended for students with a previous degree in one of the classical engineering (civil, mechanical, or electrical engineering) or science disciplines (physics, etc.); applicants who come from closely related subjects or from interdisciplinary programs (computational engineering or sciences, mechatronics, etc.) are, of course, welcome as well.
If you come from disciplines such as computer science, computer engineering, or applied mathematics, you need to prove sufficient expertise in an engineering or science displine, which can, for example, be obtained within a respective minor subject.
Solid Basic Knowledge in Mathematics
A solid basic knowledge in mathematics is indispensible for taking part in the CSE Master's Program. You should be able to prove good knowledge in the topics taught in the mathematics courses of the German "Vordiplom" (similar to a bachelor's degree) in Engineering. See the FAQ for more info!
Expect that you have to take part in a written examination if you can not provide the respective certificates!
English Language Proficiency
If you are not a native speaker of the English language, you need either
* a TOEFL certificate (score should be around 80 points or better in the internet-based TOEFL), or
* an overall IELTS score of 6.0 or better, or
* equivalent test results.
Once you have been admitted to the CSE Master's Program, you will need,
* as a EU citizen: a proof of health insurance and a proof of the ability to earn a livelihood
* as a non-EU citizen: a visa, a proof of health insurance, a proof a matriculation, and a detailed proof of assured financing