Faculty of Mathematics
We offer focused teaching with personal support that opens up excellent prospects for our graduates. In the spirit of the union between research and teaching, our courses are based on current, internationally recognized research which covers both the theoretical side and its applicability in the real life. Mathematics at the TU Chemnitz: it is fun and practical!
„Foundations in Data Science“ - New international Bachelor's degree program
Starting in the winter term 25/26, the Faculty of Mathemmatics will launch the new international Bachelor's degree program „Foundations in Data Science“.
One of the best mathematics degree programs in Germany
Based on the ranking of the Center for Higher Education (CHE), the Zeit-Campus magazine N°1/25 certifies the mathematics degree program at TU-Chemnitz a top position (see page 70). The former Dean Prof. Dr. Daniel Potts would like to thank all students for the very good evaluation and all teaching staff for their great commitment to this degree course.
Events
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Saturday, 21.03.2026 Day of Mathematics
- Fakultät für Mathematik
- Time: 09:30 to 16:00 Location: Reichenhainer Str. 90, Zentr. Hörsaal- und Seminargebäude Language: Deutsch
- Speaker: Prof. Dr. Martin Stoll, Prof. Dr. Oliver Ernst, Dr. Fank Göring
- Info: Anmeldung auf der Website https://www.tu-chemnitz.de/mathematik/tdm/2026/anmeldung/
- Main event: Team competition for teams from grades 8-10 and 11-12(13) with 3-5 participants each
Other events: Teacher training, labs (origami, AI), escape room, interactive exhibition - iCal file
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Monday, 27.03.2026 The Laplacian: Spectral Theory, Geometry and Stochastics in Action (Congress/Conference)
- Fakultät für Mathematik, Professur für Stochastik
- Time: to 27.03. Location: Reichenhainer Str. 70, Weinhold-Bau Language: Englisch
- Info: https://www.tu-chemnitz.de/mathematik/stochastik/laplacian/
- This interdisciplinary workshop brings together leading researchers and emerging scholars to explore the deep connections between spectral theory, geometry, and stochastic processes through the lens of the Laplacian.
- iCal file
