Angewandte Mathematik / Applied Mathematics (B.Sc.)

Applied Mathematics bridges the gap between theory and practice. It uses mathematical models to understand and solve real-world problems in engineering, business or the natural sciences. It is particularly indispensable in today’s world: whether in artificial intelligence, data analysis or simulations – many modern technologies only work thanks to the mathematics behind them.

What will I learn?

When studying Applied Mathematics, you will learn to transform mathematical theory into practical solutions. You will acquire strong analytical skills and learn about concrete models that will help you advance in many professional fields. Thanks to this training, you can look forward to excellent career prospects in industry, IT, research, the financial sector or consultancy.

Small, manageable classes allow for intensive support for students right from the first semester. The direct link between theory and application makes Applied Mathematics a particularly versatile and future-oriented subject.

Can I choose my own areas of focus?

A third of the programme is dedicated to a specialisation of your choice. You can choose between five specialisations: Computer Science, Artificial Intelligence, Business Informatics, Business Mathematics or Statistics. Within mathematics, specialisations are available in areas such as Financial Mathematics, Numerical Mathematics, Optimisation and Stochastics.

What skills and interests should I have?

A specialisation in the final year of secondary school in mathematics is helpful but not required.

There is a corresponding pre-course offer for all first-year students of this degree programme. Participation is highly recommended.

The Bachelor’s degree programme in Applied Mathematics consists of

• a compulsory component
• a compulsory elective component I
• a compulsory elective component II, the ‘specialisation area’, which serves as your area of specialisation and in which the final dissertation, the Bachelor’s thesis, is also written.

The programme comprises 180 credit points, of which 99 CP are in compulsory modules, 15–21 CP in compulsory elective area I, and 60–66 CP in compulsory elective area II, including the Bachelor’s thesis. 

In compulsory elective area I, up to 9 CP may be completed in the area of non-subject-specific skills (AfK).

Specialisations 

The following specialisations are available: 

• Computer Science
• Artificial Intelligence
• Statistics
• Business Informatics
• Business Mathematics

Modules

There is also a part-time option for the programme, which lasts 12 semesters. You can find details of this in the study and examination regulations (Mitteilungen der Universität Gießen, MUG). 

The compulsory elective module area is designed to help you develop your subject-specific skills and specialisation, particularly within the field of mathematics. Here, you can choose modules from the range of compulsory and compulsory elective modules offered on the B.Sc. Mathematics programme. Other modules may be permitted upon application to the Examination Board.

Further information on th structure of the programme can be found in the programme-specific study and examination regulations.

Bachelor’s Thesis

In the sixth semester, students also complete their Bachelor’s thesis in their chosen specialisation, which serves as proof of their ability to work scientifically.

The following consecutive Master’s degree programmes are offered:

• Mathematics (M.Sc.)
• Applied Mathematics (M.Sc.), starting in winter semester 2029/30

One of the typical features of the subject of Mathematics is that its graduates do not have their own sector in the job market. Mathematicians must rely on constantly finding new areas of employment, which is what has actually happened in the past in a most impressive manner. The interest in Mathematics graduates has clearly increased in industry in the last 15 years (in the area of research and development) but also in the economy in general, in insurance and in banking. In many branches of work, Mathematics involves a typically analytical way of thinking, which eminently helps in dealing with complex application problems of all kinds in various areas of work:

• Data processing, insurance mathematics, financial economics, logistics
• Medicine, drug industry, industrial production
• Teaching
• Public service and administration

Examination and study regulations

Special Regulations (with module descriptions and module plans)
General Regulations for Bachelor's and Master's programmes

Please note that only the German version of the regulation is official and legally binding. The English version is for informative purposes only.

Courses offered in the course catalogue

Electronical course catalogue (in German)

Study programme flyer

B.Sc. Angewandte Mathematik (PDF in German)

Links

Faculty 07 – Mathematics and Computer Science, Physics, Geography
Faculty 07's Deanery
Examinations office of Natural Sciences
Student representatives

Bachelor's Degree Programmes of Faculty 07

Advanced Materials
Angewandte Informatik / Applied Computer Science
Angewandte Mathematik / Applied Mathematics
Angewandte Physik / Applied Physics
Data Science
Geographie / Geography
Mathematik / Mathematics
Physik / Physics
Physik und Technologie für Raumfahrtanwendungen / Physics and Technology for Space Travel Applications

Are you still not entirely sure whether the course of study is the right one for you? We support you with a wide range of information, events and advisory services around your study orientation and choice. For example, experience real university atmosphere at our Hoch­schul­informations­tagen (HIT) and the Open Campus Day!

To help you get off to a good start with your studies, we warmly invite you to attend our orientation events. Here you will learn
everything you need to know about starting your studies:

• creating a course schedule,
• examination regulations and registration deadlines,
• campus areas and leisure activities,
• and much more.

At the same time, you will have the opportunity to get to know your future fellow students.