Study Guide ist dein persönlicher Begleiter auf dem Weg zum Studium in Deutschland.
Master's programme

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: B2
German: None

Immer wissen, was als Nächstes ansteht

Mit deinem Study Guide hast du eine persönliche To-do-Liste, die sich an dein Herkunftsland, deinen Abschluss und deine Interessen anpasst – und dir zeigt, was als Nächstes wichtig ist.

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

English

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.
Programme structure

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

Please check all requirements directly with the respective higher education institution.

German language requirements

German: None

English language requirements

English: B2

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?

Website

Please check this website.

Click here

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

  1. 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.
  2. Georgius Agricola Scholarships for international students
  3. Equal Opportunities Scholarship to support international students who have to overcome special challenges and life circumstances
  4. 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

    German

    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

    Main contact

    Faculty of Mathematics and Computer Science

    Adresse
    Akademiestraße 6, 09599 Freiberg
    E-Mail
    E-mail

    Additional contact

    Name
    Prof Björn Sprungk
    E-Mail
    E-mail

    Discover other scholarships

    Stipendien werden geladen...

    Diese Stipendien könnten zu diesem Studiengang passen. Bitte wähle zuerst ein Herkunftsland aus. 

    Immer wissen, was als Nächstes ansteht

    Mit deinem Study Guide hast du eine persönliche To-do-Liste, die sich an dein Herkunftsland, deinen Abschluss und deine Interessen anpasst – und dir zeigt, was als Nächstes wichtig ist.