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06/10/2025 15:24

"Foundations in Data Science" Program Launches

Dipl.-Ing. Mario Steinebach Pressestelle und Crossmedia-Redaktion
Technische Universität Chemnitz

    Starting in the winter semester of 2025/26, Chemnitz University of Technology offers a new English-taught bachelor's program that opens up diverse career opportunities – a master's program in Data Science is available also

    Specialists in the field of data science are increasingly in demand in the regional, national, and international job market. At the same time, there are few specialized programs in Germany that impart the necessary knowledge. With this in mind, Chemnitz University of Technology offers the new program, "Foundations in Data Science", starting in the winter semester of 2025/26 at the bachelor's level. Data scientists are distinguished not only by their sound theoretical and practical knowledge, but also by their ability to think logically and abstractly, to proceed analytically, to communicate precisely, to demonstrate perseverance in solving complex problems, and to work effectively in a team. The new, open-admission, English-taught degree program is designed to equip students with these skills with particular emphasis on mathematical principles and techniques.

    A feature of this new program in Chemnitz is the close cooperation of the mathematics with electrical engineering and information technology faculties, giving students opportunity to master data-based challenges in practice and to analytically solve complex problems from various application fields. In the age of digitalization, data increasingly forms the basis for decisions and innovations, and thus interdisciplinary collaboration between mathematics and applied sciences is becoming increasingly important.

    At Chemnitz University of Technology, international students can also acquire German language skills, contributing significantly towards their integration into the German-speaking job market. Correspondingly, native German speaking students may integrate effectively into the internationalized working environment through their gained confidence and fluency in English. "With this degree, both direct entry into the job market and further qualification in German- or English-taught degree programs – such as the Master's in Data Science at Chemnitz University of Technology – are possible," explains Dean of Studies Prof. Dr. Philipp Reiter, holder of the Chair of Harmonic Analysis at Chemnitz University of Technology. Graduates of the "Foundations in Data Science" bachelor's program are versatile and find exciting career opportunities in a wide variety of fields, from data analysis and business intelligence to software development and artificial intelligence, as well as with the automotive industry and smart mobility.

    International applicants can enroll for the 2025/26 winter semester via uni-assist (https://www.uni-assist.de/en/) until July 15, 2025. German applicants can apply until September 19, 2025.

    Extensive information about the program is available on the website https://www.tu-chemnitz.de/fids.

    The Faculty of Mathematics at Chemnitz University of Technology recommends taking a subject-specific entrance exam before applying. A preparatory course at German school leaver level with an online practice tool is also available.


    Contact for scientific information:

    Prof. Dr. Philipp Reiter, phone +49 371 531-31585, email fids@tu-chemnitz.de


    Images

    Students at the Faculty of Mathematics at Chemnitz University of Technology benefit from a very good supervision ratio.
    Students at the Faculty of Mathematics at Chemnitz University of Technology benefit from a very good ...
    Photo: Jacob Müller


    Criteria of this press release:
    Journalists, Scientists and scholars, Students, Teachers and pupils
    Electrical engineering, Information technology, Mathematics
    transregional, national
    Studies and teaching
    English


     

    Students at the Faculty of Mathematics at Chemnitz University of Technology benefit from a very good supervision ratio.


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