Applied mathematics plays a central role in industrial research and development and serves as the common language across the natural sciences. It is closely linked to current technological advances — for example, energy-efficient design, machine learning, secure communications and medical diagnostics — and equips graduates to tackle complex, application-driven problems.
This Master’s programme in Technomathematics is designed with an applied focus, building deep mathematical expertise while stressing mathematical modelling, numerical simulation and the ability to adapt scientifically across disciplines. The curriculum includes a minor in either engineering or the natural sciences, and the course prepares graduates for positions in research-oriented industries where mathematical methods are essential. The programme is taught in English, making it accessible to international students seeking interdisciplinary, industry-relevant mathematical training.
Key programme features and focus areas
This Master's degree is intended for students who already have a solid university-level foundation in mathematics. You must have completed a first university degree in mathematics to be eligible, because the program builds directly on undergraduate mathematical concepts and techniques.
If you are unsure whether your prior qualification meets this requirement (for example, if your degree combined mathematics with another discipline), contact the admissions office for guidance before applying.
Winter Semester (International)
15 July 2026
Summer Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 September 2026
Summer Semester (EU/EEA)
15 March 2026
Graduates are prepared for technically oriented roles in industry R&D where advanced mathematical tools are required — for example in energy-efficient design, machine learning, secure communications or medical diagnostics. The programme’s emphasis on modelling, simulation and interdisciplinary work makes alumni attractive to engineering firms, technology companies and applied research laboratories.
The degree also provides a solid foundation for academic research careers or doctoral studies in applied mathematics and related fields, thanks to its strong methodological training and opportunities for collaboration with research partners.