Overview
In addition to specialized knowledge in bio-/physics, physics students acquire universally applicable soft and hard skills that precisely meet the requirements of the fields mentioned above. These skills enable graduates to solve all kinds of problems and excel wherever logic, data, and innovation are needed.
Abstract thinking
Mathematical modelling
Real phenomena are translated into models, approximated and critically reviewed (e.g. movement, flow, signals, random processes) – a core competence for industry, finance and data science.
Programming & numerical methods
Methods
Simulations, evaluation of large data sets and visualisation are part of everyday life: programming languages (e.g. Python, C/C++), numerical algorithms and scientific computing are practised in a practical manner.
Analytical approach
Experimental skills & measurement technology
Laboratory practicals teach students how to use modern measurement methods, lasers, detectors, electronics and vacuum technology, as well as error analysis and uncertainty estimation.
Data analysis & statistics
From noise in measurement data to fitting procedures: students learn to critically evaluate data, interpret it statistically and present results in a comprehensible manner.
Collaborative working
Project work
In laboratory practicals, project seminars and final theses, small teams plan, experiment, simulate and present – similar to what they will do later in R&D or interdisciplinary industrial projects.
Academic Writing & Presenting
Minutes, reports, presentations and posters train precise, target-group-oriented communication – important for any future career, not only in science.
Cross-cutting skills
Perseverance & self-organisation
Challenging content and long-term projects train perseverance, frustration tolerance and independent working – skills that are highly valued in job applications.