Mathematics for Data and Resource Sciences TU Bergakademie Freiberg
- Duration
- 4 semesters
- Language of instruction
- English
- Tuition fees
- No tuition fees
- Next application deadline
- 15 April 2027 (winter semester)
- Language level required
- English: B2German: None
Programme overview
Quick facts
- Degree
- MSc
- Duration
- 4 semesters
- Full-time / part-time
- Full-time
- Intake
- Winter and summer semester
- Joint degree / double degree programme
- No
- A Diploma supplement will be issued
- Yes
- Combined Master's degree / PhD programme
- No
Language of instruction
Courses are held in English.
Programme description
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, resource optimisation in industrial manufacturing processes or in materials science
- Corporate consulting: e.g. in data analysis
- Automotive industry: e.g. in the field of autonomous driving or software validation
Programme structure
The course structure chart (figure) shows the modules by semester. Additional components and special features of the Master’s programme are:
- Study-related Master's thesis
This degree programme offers a wide range of courses. This guarantees a very comprehensive and multi-faceted education. In order to be able to extend the diverse content to all four Master's semesters, the Master's thesis can already begin during the third semester thanks to more flexible deadlines than in most other degree programmes.
- Certification for special training
It is possible to obtain certification by acquiring in-depth knowledge in Mathematical Data Science or Geomathematics during the course of study. Thanks to the respective specialisation, with the first focusing on the processing and handling of (large) amounts of data and the second focusing on mathematical problems of climate change or the circular economy, graduates are ideally prepared for the demands of professional practice.
Mode of study
- Fully on-site
Integrated internships
Students are rewarded for their commitment to local companies. If you complete an industrial internship with a duration of at least four months during the course of study, it can be credited towards your Master's thesis. The maximum completion time is reduced by three to six months and the required content is lowered accordingly.
It is intended to benefit the local economy through quick graduation and the students' tailored skills and the students themselves through a permanent employment relationship in the region.
Application and admission
Application period(s)
Summer semester
| Applicants from | Applications begin | Application deadline | |
|---|---|---|---|
All countries
|
1 July 2026
|
15 October 2026
|
Winter semester
| Applicants from | Applications begin | Application deadline | |
|---|---|---|---|
All countries
|
1 January 2027
|
15 April 2027
|
Academic admissions 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
Language requirements
German language requirements
English language requirements
Accepted certificates include
| Certificates | Minimum result |
|---|---|
TOEFL iBT (before 2026)
|
Total: 90 / 120
Reading: 23 / 30
Listening: 23 / 30
Writing: 22 / 30
Speaking: 22 / 30
|
IELTS Academic
|
Total: 6.5 / 9
|
How to apply?
Costs and funding
Tuition fees per semester
No tuition fees
Semester contribution
107 EUR per semester
Cost of living
- 650 EUR to 950 EUR per month, depending on individual lifestyle
- Rent in a student hall of residence per month: an average of 290 EUR
Part-time employment
Part-time employment on campus (e.g. student assistant, canteen) as well as in town (e.g. in supermarkets, cafés, restaurants)
Scholarships and financing information
- The Deutschlandstipendium is a national scholarship programme that supports above-average students with excellent grades. Social commitment, a willingness to take responsibility and special social, family or personal circumstances will also be taken into account.
- Georgius Agricola Scholarships for international students
- Equal Opportunities Scholarship to support international students who have to overcome special challenges and life circumstances
- Study completion grant for international students with good academic performance in the last semester of their studies
Living & services
Support for international students
General support and services are provided by the International Office. Further information: https://tu-freiberg.de/en/study/your-studies/incoming-students-abroad
Support for specific needs
Studying with a disability
The aim of TU Bergakademie Freiberg is to enable all students to study without barriers and with equal rights. If you have any questions about the accessibility of your studies or about compensation for disadvantages, you can contact the representatives for students with disabilities or chronic illnesses or the Inclusion Officer. Further information: https://tu-freiberg.de/en/inclusion
Studying with a family
TU Bergakademie Freiberg has been awarded the "family-friendly university" certificate.
Further information
Course-specific language courses available
Career advisory services
https://tu-freiberg.de/en/career-center
- Counselling: development of personal and skills profiles, individual application portfolio checks, preparation for job interviews
- Training in technical and leadership skills: soft skills training, development of interdisciplinary knowledge, coaching for job applications / career entry
- ORTE career fair, networking with companies
- Online job board
Accommodation
Different kinds of accommodation are available on campus and in the city of Freiberg.
The average monthly rent for a room in the student halls of residence, including utilities, is 290 EUR. The most common form of accommodation is the shared flat. Each student has their own room, with the bathroom and kitchen shared.
An online application is required to apply for accommodation in the student halls of residence. The recommended time for application is three months before the start of the semester.
Contact
Faculty of Mathematics and Computer Science
- Adresse
- Akademiestraße 6, 09599 Freiberg
Additional contact
- Name
- Prof Björn Sprungk
- Telefon
- +49 3731393225