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Engineering Mathematics (MSc)

In winter semester 2017/18, the MSc in Technomathematics got replaced by the English degree programme Computational and Applied Mathematics (MSc).
What is the degree programme about?

If you want to work more closely on topics which are important in both mathematics and engineering, this degree programme is the right choice. You will investigate different mathematical methods and problems where computer-aided processes play a particularly important role. You will carry out mathematically motivated investigations and explore topics which are directly relevant to engineering, for example: How can a given optimisation problem be solved in the quickest possible way? How can a given system be modelled and simulated efficiently? How can it be proven that a given process is efficient? Is there already a well-defined solution for the chosen mathematical model? Is the solution clear?

By investigating such questions you will learn to apply mathematical methods to a wide range of current challenges. You will be involved in current research projects and familiarise yourself with the processes of academic research. There are regular lectures in all specialisations and you will gain an insight into ongoing research projects. In addition to specialist knowledge and methodical skills, you will also acquire soft skills for your future career, such as how to carry out a project independently and create written and oral presentations.

Core subjects and specialisation options

There are two programme specialisations:

  • Modelling and Simulation
  • Optimisation
Modules and degree programme structure
  • 1st semester: in-depth study phase
    In this phase you take the module 'Advanced mathematical modelling'. You also take Master's degree modules which you can select from a wide range of subject areas. In this phase you acquire advanced knowledge of your chosen topics.
  • 2nd-3rd semester: specialisation
    The main focus is on a specialisation module in which you develop your theoretical knowledge through specialist lectures and seminars. This module is completed with an oral examination. You also take modules in computer science and elective modules in engineering.
  • 4th semester: Master's thesis
    You have six months to complete a research project of your choice and write your thesis.
Good to know
  • Each student is allocated a lecturer from the Department of Mathematics as a mentor at the beginning of the degree programme who helps them design an individual study plan and supports them with their studies.

You can apply for the summer or the winter semester through the application portal campo. If you have not yet completed your Bachelor's degree, you must have obtained at least 140 ECTS credits at the time of application. In exceptional cases, applicants who have not yet achieved enough ECTS credits may be allowed to provide proof of these before the qualification assessment process.

More information on the application procedure is available at:

Admission requirements

Applicants must have a Bachelor's degree in mathematics, industrial mathematics or business mathematics or a closely related subject. Related degrees include engineering in particular. Applicants with a subject-specific degree with an average grade of 3.0 will be accepted. Admission can also be granted after a successful oral admission examination.

Applicants whose native language is not German must submit proof of sufficient language skills and must be able to discuss mathematical topics in German or English.

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Degree programme start date and application deadlines

Start date of degree programme: Summer Term, Winter Term

The FAU website provides an overview of the current application deadlines as well as information on the selection process and how to apply.


Please note: Despite careful checks, we cannot rule out errors or omissions. For this reason, all prospective students are advised to seek detailed information from FAU's Student Advice and Career Service (IBZ) before commencing their studies.

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Degree type: Master of Science (MSc)
Type of study: Master
Location: Erlangen
Standard duration of study: 4 Semester
Start date of degree programme: Summer Term, Winter Term
Language: German
Admission: Qualification assessment
Early entrance programme: no
Part-time study: no
Faculty: Faculty of Natural Sciences

Ladezeit: 1.01 Sekunden