- Degree
- Bachelor of Science
- Course location
- Bremen
- Teaching language
- • English
- Languages
- Language of instruction: English
Language courses are available in German.
- Full-time / part-time
- • full-time
- Programme duration
- 6 semesters
- Beginning
- Winter semester
- Application deadline
- To be considered for admission to an undergraduate programme, you need to apply by the following deadlines:
• Early decision: application due by 1 November
• Early action I: application due by 1 December
• Early action II: application due by 1 February
Rolling admission:
• Application due by 1 June for international students (who require a visa to enter and study in Germany)
• Application due by 31 July for EU/EEA citizens and citizens who do not require a visa
For more information, please check our website: https://constructor.university/admission-aid/application-information-undergraduate (https://constructor.university/admission-aid/application-information-undergraduate?utm_source=DAAD&utm_medium=Profile&utm_content=mathematics_modelling_data_analytics)
- Tuition fees per semester in EUR
- 10,000 EUR
- Additional information on tuition fees
- Annual undergraduate 2025/26 tuition fees: 20,000 EUR
Annual graduate 2025/26 tuition fees: 20,000 EUR
Annual International Foundation Year 2025/26 tuition fees: 12,000 EUR
Annual online programme 2025/26 tuition fees: 5,000 EUR
- Joint degree / double degree programme
- No
- Description/content
- Mathematics serves as the cornerstone of scientific inquiry, spanning from theoretical elegance to practical applications across diverse fields such as natural sciences, engineering, economics, finance, and social sciences. Despite its ancient origins, the field has seen transformative changes in the last two decades, particularly through the integration of data science, which has significantly altered both its applications and some mathematical disciplines.
This interdisciplinary programme offers a significant benefit by providing students with both the mathematical tools necessary for problem formulation and analysis, and the practical context for modelling real-world challenges using algorithmic and data-driven solutions. The robust mathematical grounding provided in the programme not only enhances students' capabilities in problem analysis and modelling but also generates a broad array of mathematical inquiries.