- PLG_CONTENT_COURSEINFO_DEGREE
- Bachelor's degree
- Start of studies
- Summer and winter semesters
- PLG_CONTENT_COURSEINFO_DURATION
- 6 semesters
- Admission mode
- No permit required
- Study location
- Friedberg
- PLG_CONTENT_COURSEINFO_LANGUAGE
- DE
The Mathematics for Sustainability, Economics, and Data Science program demonstrates how application-oriented mathematics can be. You will learn to analyze complex problems, find suitable solutions, and make sustainable decisions. The combination of mathematical methods, AI, and topics such as risk management will help you actively shape the future.
Mathematics is more than just numbers – it's the key tool for understanding dynamic, complex relationships and developing sustainable solutions. In addition to subject-specific skills, you'll also gain competencies in teamwork, presentation, and academic writing. The program offers a strong practical focus, current topics, and flexible specializations, allowing you to find your own path, be ideally prepared for tomorrow's challenges, and make better decisions for a sustainable future.
Contents at a glance:
Studies
Study content
Basic mathematical knowledge and specialist knowledge in business mathematics topics are imparted to such a degree that graduates are able to solve concrete problems in their professional field and acquire appropriate specialist knowledge.
In the first semesters, you'll learn the basics: analysis, linear algebra, and stochastics. After that, you'll delve deeper into financial and actuarial mathematics, data science, and optimization. Computer science and economics knowledge round out the program and perfectly prepare you for diverse, practical applications.
As is typical in mathematical Degree Courses , a solid foundation in the core subjects of analysis, linear algebra, and stochastics forms the basis of the curriculum. Following this, you will delve into advanced mathematical subjects, particularly in financial and actuarial mathematics and mathematical modeling. The program also imparts sound fundamental knowledge in computer science and economics, as well as other key skills such as self-organization, communication skills, and social competence.
Study program
The following is a list of courses. The numbers indicate the number of hours per week or the number of credit points allocated to each subject for each semester. A total of 180 credit points must be earned. The study program shown here reflects the start of the winter semester.
1
| MODULE | SWS | CrP |
|---|---|---|
| Analysis 1 | 6 | 9 |
| Linear Algebra 1 | 6 | 9 |
| Fundamentals of Computer Science | 6 | 6 |
| Mathematical Foundations of Sustainability | 2 | 3 |
| Study techniques for sustainable learning | 2 | 1 |
| TOTAL 1ST SEMESTER | 22 | 28 |
2
| MODULE | SWS | CrP |
|---|---|---|
| Analysis 2 | 6 | 6 |
| Linear Algebra 2 | 6 | 6 |
| Probability 1 | 6 | 6 |
| Scientific Programming | 6 | 6 |
| Elective module 1 Catalogue A (Language, Economics, Law, Ethics) | 4 | 6 |
| Study techniques for sustainable learning | 2 | 2 |
| TOTAL 2ND SEMESTER | 30 | 32 |
3
| MODULE | SWS | CrP |
|---|---|---|
| Analysis 3 | 6 | 6 |
| Probability 2 | 6 | 6 |
| Numerical Mathematics 1 | 6 | 6 |
| Proseminar Sustainability, Economics and Data Science | 2 | 3 |
| Statistical Programming | 6 | 6 |
| TOTAL 3RD SEMESTER | 26 | 27 |
4
| MODULE | SWS | CrP |
|---|---|---|
| Differential and difference equations | 6 | 6 |
| Numerical Mathematics 2 | 6 | 6 |
| Applied Statistics | 4 | 6 |
| Sustainable risk management and derivatives valuation | 4 | 6 |
| Mathematical programming | 4 | 6 |
| Academic Writing | 2 | 3 |
| TOTAL 4TH SEMESTER | 26 | 33 |
5
| MODULE | SWS | CrP |
|---|---|---|
| Sustainable Operations Research | 4 | 6 |
| Fundamentals of actuarial science | 4 | 6 |
| Data Science Basics | 4 | 6 |
| Elective module 2, Catalog B (Mathematics, Data Science) | 4 | 6 |
| Elective module 3, Catalog B (Mathematics, Data Science) | 4 | 6 |
| Mathematical internship | 4 | 3 |
| TOTAL 5TH SEMESTER | 24 | 33 |
6
| MODULE | SWS | CrP |
|---|---|---|
| Mathematical Seminar | 2 | 3 |
| Vocational Practical Phase (BPP) | - | 12 |
| Bachelor thesis | - | 12 |
| TOTAL 6TH SEMESTER | 2 | 27 |
The detailed study program can be found in the module handbook.
Career prospects
Perspectives
A bachelor's degree in Mathematics for Sustainability, Economics, and Data Science opens up excellent career opportunities – for example, in banks, insurance companies, management consultancies, public transport, telecommunications, or IT companies. Exciting tasks await you everywhere. Your practical semester will allow you to gain valuable experience and build important contacts. Your expertise is in high demand, especially in the field of sustainable and data-driven solutions, as experts with these skills are more sought after than ever before.
Application and enrolment
matriculation
- degree
- Bachelor (B.Sc.)
- Standard period of study
- 6 semesters
- Accreditation
- ASIIN Düsseldorf
- Study options
- Full-time studies
- Main language of instruction
- German
- Study location
- Friedberg
- Cost
- Semester fee
- Admission mode
- The course is open admission. You only need to enroll within the respective deadline and meet the enrollment requirements to secure a place.
- Start of studies
- Winter and summer semesters
- Bridge courses
-
Before the start of lectures, THM one-week bridging courses in subjects including mathematics, physics, programming, and chemistry. First-year students can use these courses to refresh their prior knowledge and fill any gaps.
- Enrollment period
-
June 1st to September 20th (winter semester)
December 1st to March 20th (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. - matriculation
