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Mathematics is abstract and practical at the same time. On the one hand, it is about elegant and logically correct evidence, general truths or statements - in short: knowledge. On the other hand, mathematics provides tools to formalize phenomena from everyday life and to reveal their laws and structures. You learn to analyze complex facts, to describe them precisely and to deduce logically conclusive. In mathematics studies, you acquire the tools to independently use mathematical methods and to further develop mathematical theories and procedures.

The central part of the mathematics course is the independent application of the learned techniques to new issues in order to & nbsp; to practice mathematical analysis and combination. Conclusions should be precisely formulated and presented. There is a reason for this, because studying mathematics should not only convey the mathematical knowledge and methods that are indispensable in technology and business, & nbsp; They also train important skills such as analytical thinking, a creative and systematic approach to complex problems and precise working methods.

Thanks to the favorable supervisory relationship between lecturers and students, close cooperation is possible. In an additional subject such as physics, computer science, life sciences, geosciences, chemistry or economics, additional knowledge can be acquired with a view to a future professional orientation.


The bachelor's degree in mathematics is designed as a single-subject bachelor's degree. The bachelor's degree has a modular structure. Within the modules, the course content is thematically summarized in different study and teaching forms. A fixed number of credit points as well as certain study and examination achievements must be achieved in each module. 

The course has a total of 180 credit points and includes the content shown in the overview below. In an additional subject such as physics, computer science, life sciences, geosciences, chemistry or economics, additional knowledge can be acquired with a view to a future professional orientation. At the end of the bachelor’s degree, you will write your bachelor’s thesis under the guidance of a university professor. After consultation with the examination board, it is also possible to write the bachelor thesis in university or non-university research institutions working in related fields.

1st year - basics
  • Analysis
  • Linear Algebra
  • Analytical geometry
  • Additional subject
2nd year - specialization
  • algebra
  • Analysis
  • Computational Mathematics
  • geometry
  • Stochastics
  • statistics
3rd year
Individual specialization
bachelor thesis 


Mathematics students should have a lot of interest and fun in the subject from the start. Mathematics is the right place for anyone who is good at maths, but for those who love analytical thinking and creative problem solving. In a bridging course before the start of your studies, you can refresh the basic knowledge you need in mathematics.

The ability to think logically, ambition and perseverance are also good prerequisites for solving complex mathematical tasks. An interest in using computers and programming skills are also helpful for the course


After completing your degree, you will be able to gain an overview of the essential interrelationships in the subject of mathematics. You have an insight into the most important sub-areas of mathematics and have the ability to apply basic mathematical methods and theorems on the basis of analytical and structural thinking. The bachelor's degree prepares you with the necessary specialist knowledge for an early transition into professional practice. The course content accordingly focuses on the professional, scientific and practical basics of mathematics.

The career prospects for mathematicians are excellent and diverse: they work in industry, in banks and insurance companies, in the field of ecology, in administration, research institutes and universities. The areas of application are very diverse: data processing, development and application of algebraic, analytical, geometric, numerical and stochastic methods, solving optimization problems as well as modeling and simulating complex issues. Often it is not just the mathematical knowledge acquired that is decisive, but also the analytical skills developed during the course.

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