Mathematics, Modelling and Data Analytics
The Bachelor of Arts in Mathematics, Modelling and Data Analytics (MMDA) at Constructor University in Bremen is an international, full-time undergraduate program that integrates mathematics, applied modelling, and modern data science. As the successor to the Mathematics B.Sc. program, MMDA builds upon the deep theoretical foundations of mathematics while emphasizing data-driven problem-solving and real-world applications. Structured across six semesters and beginning exclusively in the winter semester, this program prepares students for the evolving demands of the digital and analytical era.
Located in Bremen, one of Germany’s leading academic hubs, the MMDA program trains students to translate mathematical theory into actionable insights for science, technology, and industry. The curriculum blends rigorous mathematical education with courses in modelling, algorithm design, and data analytics. Students learn to apply mathematical principles to complex systems — from engineering and finance to climate modelling and machine learning — equipping them for both advanced research and global careers in data-intensive fields.
Key information
Key Facts
- Degree: Bachelor of Arts (B.A.)
- Standard period of study: 6 semesters
- Location: Bremen
- Study Type: Undergraduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Mathematics, Applied Mathematics, Data Analytics
- Admission modus: Selection procedure / qualifying examination
- Main language: English
Program Structure
Semester 1 – Mathematical Foundations and Modelling
- Calculus I and Linear Algebra
- Introduction to Mathematical Modelling
- Programming Fundamentals for Data Science
- Academic Writing and Communication
Semester 2 – Probability and Data Analysis
- Calculus II: Multivariable and Vector Calculus
- Probability and Statistics
- Introduction to Data Analytics
- Linear and Nonlinear Modelling
Semester 3 – Applied and Computational Mathematics
- Differential Equations and Dynamical Systems
- Numerical Methods and Optimization
- Applied Statistics and Regression Analysis
- Data Visualization and Computational Tools
Semester 4 – Data-Driven Modelling and Algorithms
- Machine Learning and Artificial Intelligence
- Stochastic Processes and Time-Series Analysis
- Big Data Management and Analytics
- Mathematical Reasoning and Proofs
Semester 5 – Advanced Topics and Practical Application
- Mathematical Modelling in Science and Engineering
- Simulation and Predictive Modelling
- Internship or Applied Data Project
- Research Seminar
Semester 6 – Bachelor’s Thesis and Integration
- Advanced Data Science Seminar
- Bachelor’s Thesis
- Colloquium and Research Presentation
- Career Preparation and Professional Development
Career Opportunities
Graduates of the Mathematics, Modelling and Data Analytics program are well-prepared for careers in mathematics, data science, finance, engineering, research, and technology. Their combination of analytical, computational, and modelling expertise makes them highly valuable in sectors such as consulting, data analytics, artificial intelligence, and environmental science.
Why Choose This Program
Choosing the Bachelor of Arts in Mathematics, Modelling and Data Analytics at Constructor University means mastering both mathematical theory and practical data applications. The program’s interdisciplinary nature provides the tools to understand complex global systems — from predicting financial trends to modelling environmental change.
Students benefit from small class sizes, personal mentorship, and hands-on research experience. The MMDA program stands out for its integration of pure mathematics, computational modelling, and data science — providing a powerful combination of intellectual depth and real-world relevance. With its international environment and research-oriented approach, the program is ideal for ambitious students ready to shape the future through analytical insight and innovation.
Contact Information
Constructor University – Admission Office
Campus Ring 1
28759 Bremen, Germany
Tel: +49 421 200-4200
Email: admission@constructor.university
Programme Contact
Constructor University Bremen
Campus Ring 1
28759 Bremen, Germany
Email: study@constructor.university
International Office
Campus Ring 1
28759 Bremen, Germany
Tel: +49 421 200 4315
Email: international@constructor.university
