- PLG_CONTENT_COURSEINFO_DEGREE
- Master's degree
- Start of studies
- Summer and winter semesters
- PLG_CONTENT_COURSEINFO_DURATION
- 4 semesters
- Admission mode
- No permit required
- Study location
- Friedberg
- PLG_CONTENT_COURSEINFO_LANGUAGE
- DE, EN
In an increasingly complex and dynamic world, mathematics plays a central role in sustainable development. As an interface between theoretical modeling and practical application, it enables us to understand complex relationships and make data-driven decisions.
Specific applications include modeling climate risks in loan portfolios and analyzing default probabilities using logistic regression and machine learning. The combination of mathematical methods and artificial intelligence opens up new possibilities for quantifying sustainability risks and integrating them into existing risk models.
This combination of scientific depth and practical relevance is also reflected in this Master's program, which specifically prepares students for the challenges at the interface of sustainability, business and data science – be it for a career in business or a scientific career through doctoral studies.
Studies
Study content
This degree program combines academic rigor with strong practical relevance. Core modules such as measure and integration theory, time series analysis, and management skills form the foundation, supplemented by Elective courses from various specialization areas. You decide whether to specialize or maintain a broad perspective. A doctorate is also an option with this degree. Here, you will acquire the key skills to actively shape the future.
Study program
The following is a list of the courses offered in the degree program, indicating whether each course is a required module (P) or Elective module (WP). The numbers indicate the weekly workload (SWS) or the credit points (CrP) awarded for successful completion of the course.
1
| MODULE | SWS | CrP |
|---|---|---|
| Measure and integration theory | 6 | 6 |
| Time series analysis and stochastic processes | 4 | 6 |
| Elective module 1 | 4 | 6 |
| Elective module 2 | 4 | 6 |
| Elective module 3 | 4 | 6 |
| TOTAL 1ST SEMESTER | 22 | 30 |
2
| MODULE | SWS | CrP |
|---|---|---|
| Management, work organization & personnel management | 4 | 6 |
| Elective module 4 | 4 | 6 |
| Elective module 5 | 4 | 6 |
| Elective module 6 | 4 | 6 |
| Elective module 7 | 4 | 6 |
| TOTAL 2ND SEMESTER | 20 | 30 |
3
| MODULE | SWS | CrP |
|---|---|---|
| Elective module 8 | 4 | 6 |
| Elective module 9 | 4 | 6 |
| Elective module 10 | 4 | 6 |
| Elective module 11 | 4 | 6 |
| Elective module 12 | 4 | 6 |
| TOTAL 3RD SEMESTER | 20 | 30 |
4
| MODULE | SWS | CrP |
|---|---|---|
| Master's thesis with colloquium and seminar | 2 | 30 |
| TOTAL 4TH SEMESTER | 2 | 30 |
| ELECTIVE MODULES |
|---|
| Sustainable Financial Mathematics I |
| Sustainable Financial Mathematics II |
| Sustainable credit risk modeling |
| Computational Finance Project |
| Advanced Computational Finance |
| Selected advanced methods of financial mathematics |
| Insurance mathematics |
| Special topics in actuarial science |
| Sustainable risk management |
| Nonlinear and stochastic optimization |
| Computer-aided methods in statistics, sustainable optimization |
| Applied Quantitative Methods (Simulation Project) |
| Multivariate data analysis |
| Data Science I |
| Data Science II |
| Approximation Theory with Neural Networks 2 |
| Further advanced mathematical applications of |
| Machine Learning |
| Multi-agent systems |
| Knowledge-based methods |
| Advanced Analytics |
| Applied Natural Language Processing |
| Reinforcement learning with Python |
| Partial differential equations |
| Numerical Methods for Partial Differential Equations |
| Coding theory and cryptography |
| Free project |
| Advanced module |
The detailed study program can be found in the module handbook.
Study options
German and English study options
The Master's program in Mathematics for Sustainability, Economics and Data Science is offered in both German and English language versions.
Admission to the English-language study program requires proof of a first professional university degree with an overall grade of at least "good" (2.0 or at least 80 percentage points according to § 9 para. 2 part I of the examination regulations) and sufficient English language skills at level B2 of the Common European Framework of Reference for Languages.
A corresponding note will be included in the graduation documents if all compulsory and Elective modules – with the exception of a maximum of four Elective modules – were completed in English. Switching between the different study program variants is only possible if the respective prerequisites are met and no modules have yet been passed in the other language.
Further details can be found in the examination regulations .
Career prospects
Perspectives
With a Master's degree in Mathematics for Sustainability, Economics, and Data Science, you have excellent career prospects in fields such as finance, insurance, consulting, IT, and public institutions. Your analytical and sustainable problem-solving skills qualify you for responsible positions in diverse, future-oriented industries.
Application and enrolment
Application
- degree
- Master (M.Sc.)
- Standard period of study
- 4 semesters
- Accreditation
- ASIIN Düsseldorf
- Study options
- Full-time studies
- Main language of instruction
- German English
- Study location
- Friedberg
- Cost
- Semester fee
- Requirements
- Admission to the program requires a completed Bachelor's or Diploma degree in Mathematics, e.g., Business Mathematics (B.Sc.) at THM in Friedberg, with an overall grade of at least "good" (2.5 or better). Applicants with an overall grade of 2.8 or lower may, upon request, take a one-time aptitude test to demonstrate their suitability for the Master's program.
For the English-language program, proof of sufficient English language skills at level B2 of the Common European Framework of Reference for Languages is required, typically demonstrated by the Cambridge English Certificate, TOEFL, TOEIC, or IELTS. The admissions committee decides on the acceptance of this proof. Admission to the English-language program also requires proof of a first professional university degree with an overall grade of at least "good" (2.0 or at least 80 percent according to § 9 para. 2 Part I of the examination regulations).
If you have any further questions about the admission requirements or the application process, please contact the program coordinator. - Start of studies
- Winter and summer semesters
- Application period
-
June 1 to September 1 (winter semester)
December 1 to March 1 (summer semester) - Application period for international students
-
Applications are accepted via uni-assist from April 1st to July 15th (winter semester) and from October 1st to January 15th (summer semester)
Further information for international applicants is available from the International Office. - Application
