MSc Computational and Applied Mathematics (CAM)

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) · Nuremberg, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Erlangen
Apply by
Register by 15 January 2027 + 1 more
Starts
Winter and summer semester

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.

Entry requirements and how to apply

Entry requirements
The requirement for admission to the Master's degree programme is a good Bachelor's degree in a mathematical programme or in a closely related field with a substantial content of mathematical courses (at least 45 ECTS). Qualification or aptitude for the Master's degree programme is examined in the qualification assessment process. Applicants with a degree that is not in mathematics but in a related field can only be admitted after passing an oral exam. The criteria of this oral exam are: basic knowledge in functional analysis or in the theory of differential equations, basic knowledge in numerics or in optimisation, ability to discuss mathematics in English, e.g. on the applicant's Bachelor's thesis.
English language requirement
B2 required, please provide an official language certificate, e.g.: Cambridge English Qualifications: B2 First TOEFL Essentials: 8 Reading: 8 Listening: 8 Speaking: 8 Writing: 8 IELTS Academic: 5.5
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the summer semester: 15 October - 15 January The following is valid for applicants from: all countries For the winter semester: 15 February - 15 July
Apply through
Please check this website .

About this programme

This degree programme is tailored to the current needs in applied mathematics and scientific computing. It is designed for students who appreciate using rigorous mathematical analysis or scientific computing for the prediction of phenomena or for the optimisation of processes in the sciences or in engineering. Initially, the students acquire a firm grounding in mathematical modelling and applied analysis as well as in high performance computing. They learn to derive mathematical models and to reflect upon the properties and limitations of models. Starting in the second semester, the students are free to choose from a large variety of courses in order to specialise in two of the three following fields: Modelling and Applied Analysis Numerical Analysis and Simulation Optimisation The subjects of these mandatory elective courses (which all are taught in English) reflect the mathematical research pursued at Friedrich Alexander University Erlangen-Nuremberg (FAU). They range from modelling, PDE analysis and numerical simulation in mathematical continuum mechanics (transport processes in complex multiphase flow, fluid-structure interactions) to multiscale analysis and mathematics in the life sciences. They also include various fields of mathematical optimisation, including shape optimisation, optimisation with PDE, and discrete optimisation. In addition, the study plan permits students to attend a number of modules chosen from the entire portfolio of the university's Master's level

Related pages

Other degree programmes at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)