Starting this winter term 2019/2020, the University of Wuppertal (Bergische Universität Wuppertal), Germany has launched two new programmes in techno- and economathematics.
The four-semester master’s programme in technomathematics has its focus on numerics, optimization, stochastics, functional analysis and parallel algorithms/high-performance computing. In the supplementary field (minor subject) a subject from electrical, mechanical, control or communications engineering is to be selected.
The four-semester master’s programme in economathematics has its focus on computational finance, optimization, stochastics and financial mathematics. In the supplementary area (minor subject) a subject from applied economics and international economic policy, finance, auditing, controlling and taxes, or operations management is to be selected.
For both programmes, each mathematical subject is tought in an advanced, a deepening and a specialization module. At least one advanced seminar and a modelling seminar or an internship are mandatory.
As we have already implemented both programes in the spirit of the ECMI model master, Wuppertal will apply in a next step for becoming an ECMI teaching center, to ease the mobility not only for our students, but also for students abroad.
Both study programmes are embedded into a strong research environment in Wuppertal, centered around the IMACM (Institute of mathematical Modelling, Analysis and Computational Mathematics) and the IZMD (Interdisciplinary Center for Machine Learning and Data Analytics). In technomathematics, sustainable research cooperations have been established with companies from the electronics, automotive and energy sector, just to name a few. The same applies to economathematics, with cooperation ranging from banks and insurrance companies to energy companies. Cooperative research projects at Wuppertal range from shape optimization for gas turbines in volatile energy networks (BMBF-funded project GIVEN) and simulation in multiphysical and biological systems (EU-funded European joint doctoral school STIMULATE) to artificial intelligence and data analytics (EFRE-funded innovation platform BIT).
For more information, feel free to contact me directly: Univ.-Prof. Dr. Michael Günther, Dean of the school of mathematics and sciences, Email: guenther[at]uni-wuppertal.de