16 Master's degrees in Applied Mathematics in Germany
Germany is a fantastic destination for international students looking to pursue Applied Mathematics. With a wide range of programmes available, students can find options that suit their budget and learning preferences. For those on a tight budget, the lower-end tuition fee for Applied Mathematics programmes in Germany is €364. This makes it accessible for many students to pursue their academic goals without breaking the bank.
On average, the typical tuition fee for Applied Mathematics programmes in Germany is €1,500. This gives students a good idea of what to expect when budgeting for their studies. Additionally, for those willing to invest a bit more, the higher-end tuition fee for Applied Mathematics programmes in Germany is €4,500.
One of the great things about studying Applied Mathematics in Germany is that 60% of programmes are considered affordable. This means that students have a good chance of finding a programme that fits their financial situation. Furthermore, 1% of Applied Mathematics programmes in Germany are offered online, providing flexibility for students who may have other commitments or prefer a more independent learning style.
Germany is home to a diverse range of universities, and 5% of them offer Applied Mathematics programmes. This means that students have plenty of options to choose from when selecting a university that aligns with their academic interests and career goals. Whether you're looking for a traditional campus experience or a more specialised institution, Germany has something to offer every Applied Mathematics student.
Mathematical Modelling (MathMods Joint)
MathMods is a 2-year Joint MSc in Mathematical Modelling in Engineering run by five European universities based in L'Aquila (Italy), Hamburg (Germany), Nice (France), Hannover (Germany) and Granada (Spain). Our MSc programme is aimed at satisfying the needs for experts who may apply rigorous mathematical modelling and computational techniques to solve problems in all areas of engineering.
Applied Statistics
The master's programme in Applied Statistics at Trier University focusses on modern applied methods of statistics.
InterMaths Erasmus Mundus Joint Master (Interdisciplinary Mathematics)
InterMaths (Interdisciplinary Mathematics) from University of L´Aquila is a 2-year full-time Erasmus Mundus Joint Degree with interdisciplinary applications, with a specific focus on Biomedical Sciences and Industrial Engineering, jointly offered by five EU Universities.
Applied Biotechnology
The Master's degree programme in Applied Biotechnology at Ansbach University is broadly based and thus opens up career prospects in diverse areas of biotechnology.
Applied Statistics
Applied Statistics from University of Göttingen is a key tool to help us navigate the information society, enabling us to effectively collect, integrate, and analyze data.
Mathematics International
Mathematics International from University of Würzburg provides a fascinating, demanding, and research-oriented study program.It offers advanced topics in the full variety of pure and applied mathematics. After graduation one can opt for excellent job perspectives outside university or PhD programs in Mathematics inside the university.
InterMaths
The InterMaths Erasmus Mundus Joint Master Degree is one the Erasmus+ programmes funded by the European Commission offered at Hamburg University of Technology.
Computational and Applied Mathematics
This degree program is designed for students with an interest in mathematics and its application in science and engineering. Mathematical modelling, rigorous analysis and scientific calculations are essential for producing predictions and optimizing processes in scientific and engineering applications. The degree program is tailored to these needs.
Mathematical Analysis and Modelling
Mathematical Analysis and Modelling is an International Master's Degree Programme at the University of Augsburg.
Mathematical Finance
The masters programme in Mathematical Finance from University of Kiel leads to an MSc within two years. Combining mathematics, financial engineering, economics and statistics, it provides all the knowledge for a successful career in finance.
Statistics and Data Science
The Master's programme in Statistics and Data Science at Ludwig-Maximilians-University (LMU) Munich leads to an M.Sc. degree. This course aims to deepen understanding of statistical concepts and methods. It offers various specialisation tracks and can be pursued in either a full-time or part-time format, depending on student preferences.
Computational and Applied Mathematics (CAM)
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)'s Computational and Applied Mathematics (CAM) MS program delves into the intersection of mathematical theory and practical applications in various fields.
Quantum Science
The Quantum Science program at University of Siegen is an international two-year degree program at the University of Siegen.
Mathematics for Data and Resource Sciences
The Master of Science (M.Sc.) in Mathematics for Data and Resource Sciences at TU Bergakademie Freiberg is a comprehensive programme designed to equip students with essential mathematical skills. This course spans four semesters and is offered in English, focusing on the application of mathematics in addressing contemporary challenges in data and resource management.
Business Mathematics
The Master of Science in Business Mathematics at Friedrich Schiller University Jena is designed to expand students' knowledge of theoretical and practical mathematics, business administration, and computer science.
Mathematical Engineering (RealMaths Double MSc - Mathematics for Real-World Applications)
RealMaths – Mathematics for Real World Applications is a 2-year Double MSc with a focus on scientific computing and applications. Students spend Year1 at the University of L’Aquila and Year2 in one partner institution.Our specialisations include modern applications in material science or socio-economical sciences, as well as innovative methodologies in high-performance computing and data analysis.