8 Master's degrees in Applied Mathematics in Italy
Italy offers a variety of Applied Mathematics programmes that cater to different financial situations. The lower-end tuition fee, represented by the €278, is an attractive option for students looking for more affordable education. On the other hand, the typical tuition fee, indicated by the €3,900, provides a benchmark for what most students can expect to pay. For those willing to invest more, the higher-end tuition fee, denoted by the €16,000, reflects the premium options available.
A significant 43% of programmes are designed to be accessible to a wide range of students, ensuring that quality education in Applied Mathematics is within reach for many. Additionally, Italy has embraced modern education trends, with a 1% of programmes available online, offering flexibility for students who may not be able to attend classes in person.
When considering where to study, it's also worth noting that a 7% of universities in Italy offer Applied Mathematics programmes. This wide availability means students have plenty of choices when it comes to selecting the right fit for their academic and career goals. Whether you're looking for an affordable option, a typical programme, or a high-end experience, Italy's diverse range of Applied Mathematics programmes has something to offer.
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.
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 Mathematics
The Applied Mathematics programme from University of Siena aims at providing high-level competences for the formalization and the consequent mathematical analysis of problems arising from applied sciences and technologies, with a special focus on the analysis of big data systems and complex systems.
ALGANT - Algebra, Geometry and Number Theory
The ALGANT - Algebra, Geometry and Number Theory program at University of Padua has grown into a consortium of eight universities, being established in 2004 as an Erasmus Mundus Master between the universities of Bordeaux (France), Leiden (Netherlands) and Padova (Italy)
Mathematics and Applications
The Mathematics and Applications master programme at the University of Camerino benefits of a longstanding and well appreciated didactical expertise, a friendly and skillful teaching staff, and reliable supporting structures (such as study and work rooms, computer facilities, libraries) in addition to dedicated tutorship services.
Mathematical Engineering
This Mathematical Engineering study programme at Politecnico di Milano aims at preparing professionals who are able to deal with complex design and managing problems by using advanced mathematical tools, yet with an engineering attitude.
Mathematical Engineering
The University of Naples Federico II offers a Master's degree in Mathematical Engineering. By the end of the course students will be exposed to pioneering research taking courses at the edge of science, technology and the applications of mathematics to real-world engineering problems.
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.