Mathematics for Data and Resource Sciences

TU Bergakademie Freiberg · Freiberg, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Freiberg
Apply by
Register by 15 October 2026 + 1 more
Starts
Winter and summer semester

TU Bergakademie Freiberg does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 – €8,000 a year for international students.

Entry requirements and how to apply

Entry requirements
Bachelor's degree in mathematics or equivalent (graduate status) English language skills (details see below) Letter of motivation Qualification interview Successfully completed modules from the catalogue of requirements
English language requirement
B2 required, please provide an official language certificate, e.g.: TOEFL iBT (before 2026): 90 Reading: 23 Listening: 23 Speaking: 22 Writing: 22 IELTS Academic: 6.5
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the summer semester: 1 July - 15 October The following is valid for applicants from: all countries For the winter semester: 1 January - 15 April
Apply through
Please check this website .

About this programme

Mathematical skills are indispensable in today's activities of modern industrial companies. In addition, the necessary quantification, proper assessment and recording of the content of application-orientated research can only be achieved through a high and qualified use of mathematical methods. Particularly in view of climate change and in addressing the associated challenges, the processing of large amounts of data on the one hand and the understanding of technical difficulties in the provision, transport, and recycling of recyclable materials on the other are essential. Based on an excellent mathematical foundation, ideally laid in a general Bachelor's degree programme in mathematics, "Mathematics for Data and Resource Sciences" focuses on the methods and techniques needed to understand and mathematically tackle the challenges described above. The aim of the degree programme Graduates of "Mathematics for Data and Resource Sciences" have the techniques, methods, and general mathematical skills to solve today's most pressing problems. This includes understanding and utilising large amounts of data, mastering computer-aided machine learning and a thorough understanding of problems in the area of scarce resources, such as rare raw materials in particular or planet Earth in general. Job opportunities IT companies such as Google or IBM Financial industry and insurance: e.g. in data analysis Circular economy: e.g. in the optimisation of software for wastewater treatment plants, re

Related pages

Other degree programmes at TU Bergakademie Freiberg