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Scientific Computing, Master of Science (M.Sc.)

The University of Bayreuth will be offering a new elite programme of study starting in Winter Semester 2019: Scientific Computing is one of only two new programmes of study to receive Bavarian funding in the scope of the Elite Network of Bavaria. The field of scientific computing addresses the mathematical modelling and efficient numerical computation of complex problems from technology, economics, and the natural sciences. Today's product research and development would be unthinkable without numerical simulations using computers. Specific applications of scientific computing range from crash tests to electromagnetic compatibility, optimization of fuel cells, calculating prices of financial derivatives, and the simulation of biological processes. This new international degree programme in mathematics will enable the University of Bayreuth to prepare highly talented students for future challenges in the field of numerical simulation.

Profile of the Master’s Programme

Over the past several years, numerical simulations of phenomena in technology and the natural sciences have been shown to be an essential tool for accelerating development cycles in industry and businesses. Whereas researchers once had to meticulously study the properties of a product on the basis of prototypes, they are now simulated and optimized on computers. Demands on the capabilities of numerical simulation continue to grow with the need for models that are more and more precise, the incorporation of new problem areas such as data analysis (e.g. big data), and parameter-dependent problems and models with uncertain data. This was triggered by the relatively young and forward-looking research area scientific computing.

The field addresses the entire solution chain, including modelling; mathematical, numerical, and statistical analysis; optimization; the implementation of algorithms on high-performance computers; and the visualization of results. However, little attention has been paid to training students in this development. Graduates of mathematics are generally still limited to a basic understanding of numerics and scientific computing. Due to the high demands of studying mathematics, there is usually not much time left over to transfer newly acquired knowledge to neighbouring fields that represent intellectual challenges in their own right.

The objective of the international master’s programme is thus to provide a specialized range of courses that leads highly qualified, hard-working students towards the development and mathematical analysis of highly efficient numerical methods. It is a crucial point that highly complex problems are brought to a less complex numerical approximation (on parallel computers) via an understanding of their mathematical core. The master’s programme involves – and is motivated by – a number of courses in other subject areas (biochemistry, physics, computer science, and engineering), in which the simulation of demanding problems plays a crucial role. The programme is geared towards students working at the intersection of mathematics, computer science, and physics. This interdisciplinary approach enables students to achieve and apply their specialized understanding of efficient methods for solving differential and integral equations and analysing large sets of data, and to extend this know-how to other subject areas.

Fields of Employment

Thanks to its structure and selection of courses, the master’s programme is well-suited to getting top students involved in current research on scientific computing at an early stage. In particular, the content is divided up so as to allow for a fast track option for doctoral research. Financial support is available for research visits to international experts. Students complete internships and modelling seminars in close cooperation with high-tech companies alongside their studies. This enables a smooth transition to a challenging position in the field.

General information 
Final degreeMaster of Science (M.Sc.)
Start of StudiesWinter or Summer Semester
Application Deadline (Germans and EU-citizens)15. May (Winter Semester)
15. November (Summer Semester)
Application Deadline (for international students)15. May (Winter Semester)
15. November (Summer Semester)
Application plattform
Admission Requirements
Qualification
A degree with an examination grade of “1.9” or better in a bachelor’s programme in the subject areas of mathematics, computer science, the natural sciences, or engineering at the University of Bayreuth, or an equivalent degree 
 
Equivalency
Equivalency of the completed bachelor's degree is the responsibility of the board of examiners and is not determined conclusively until the application process is under way; for this reason, no information can be provided in advance; content-related requirements are specified in § 5 para 1 item b of the Examination Regulations
 
Aptitude Assessment Process
One prerequisite for admission to the programme is the passing of an aptitude assessment process (see Examination Regulations, Annex 2); it includes an evaluation of the applicant's qualifications and, if necessary, a personal interview
 
Language Proficiency
ENGLISH: level B2
GERMAN: level A1
 
Applying Without a Degree Certificate
Applications may already be submitted before completion of the bachelor's degree; however, a total of at least 150 credits and a minimum grade of "1.0" are required by the time of application
 
Special Conditions
Conditional admission is possible; special conditions may comprise up to 10 credit points (see Examination Regulations § 5 para 2)
Standard Period of Study4 Semesters
Special FeaturesA programme in the scope of the Elite Network of Bavaria
Language of InstructionEnglish
Programme CoordinatorProf. Dr. Mario Bebendorf
Homepagewww.scientific-computing.uni-bayreuth.de​

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