Mathematical study programms in Erlangen

In Erlangen and Nuremberg, future mathematics teachers will be trained for all types of schools. Depending on the type of school, the standard period of study is seven or nine semesters. You can find more detailed information about teacher training on our page on the teaching degree programmes.

In the Bachelor’s programmes in MathematicsIndustrial Mathematics and Mathematical Economics, basic knowledge and basic skills in mathematics and one or two minor subjects are taught within three years. With these degrees you can enter a profession directly or apply for a place in one of the many promising Master’s programmes in Erlangen and Nuremberg or at other universities.


Starting in the winter semester 2020/21, we are expanding our range of bachelor’s programmes to include the new Data Science Programme (only in German).

In the Master’s programme in Mathematics, Mathematical Economics or Computational and Applied Mathematics, additional competences are acquired within two years which are necessary for independent and autonomous scientific work.

The following links will provide you with further information on the structure, admission requirements (e.g. required German language skills), application and enrolment for our Master’s programs in Mathematics, Mathematical Economics and CAM.

Before starting a Master’s programme at the Department of Mathematics, each student must indicate a mentor from the teaching staff of the Department with whom an individual study agreement for the Master’s programme will be developed. A proposal for the desired mentors must already be made in the electronic application for the Master’s programme, as must the field of study in the chosen programme.

The application for the Master’s programmes is made via the Campo application portal.

The SSC Mathematics will be happy to assist you with applications for a Master’s course.

Since the winter semester 2009/10 there is a further study offer with mathematics parts in the study programme “Integrated Life Sciences – Biology, Biomathematics, Biophysics”