Mathematische Modellierung (Bachelor of Science)

Complex networked systems from the fields of natural science, life sciences, technology or organization and logistics are all around us and define modern, high-tech daily life. Questions thus arise relating to the mathematical description of these systems and their use to produce simulations for forecasting and also to identify parameters, optimizing systems, playing through ‘what would happen if’ scenarios and providing decision-making support to users.

In addition to the fundamentals of mathematics, physics and information processing, the basic six-semester Bachelor’s degree program in Mathematischer Modellierung conveys the basic knowledge and concepts of modeling as well as simulation and experimentation. Students can start to specialize by studying an elective subject. An internship module provides students with an insight into the working world even before they have gained their first professional qualification and can also help them select a topic for the concluding Bachelor’s dissertation. Modules relating to modern scientific software packages and the basics of communication as well as a course in ‘scientific English’ round off the degree program.

Profile

Degree program content
  • Fundamentals of mathematics, physics and information processing
  • Knowledge and concepts of modeling, simulation and experimentation
  • Internship module
  • Modules relating to modern scientific software packages
  • Course in ‘Scientific English’
Study location
  • Koblenz campus
Admission requirements
  • General university entrance qualification (German Abitur) or an equivalent recognized qualification
  • Students are expected to have Level B2 English skills
Admission restrictions
  • None
Start of degree program
  • Winter semester
Application deadline
  • End of September
Degree program duration
  • The standard period of study is 6 semesters
Qualification
  • Bachelor of Science (B.Sc.)
Accreditation
  • Accredited by ZEvA to Sept. 30, 2020
Consecutive Master’s degree
  • Mathematical Modeling of Complex Systems (M.Sc.)
Academic advisor
Further information