The Master’s degree in Mathematical Engineering is designed for students with a solid scientific background who wish to further deepen and specialise in the use of mathematics to address complex real-world problems. In this programme, mathematics becomes an advanced tool for modelling complex systems, analysing data, developing algorithms, and supporting decision-making in highly complex environments.
The programme trains engineers with advanced mathematical skills, capable of integrating theory, computational methods, and practical applications. Graduates of the Master’s degree in Mathematical Engineering are prepared to work in contexts where sophisticated analysis, complex mathematical models, numerical simulations, and advanced quantitative tools are required.
This is a highly qualified and in-demand professional profile, with career opportunities in technology-driven and industrial companies, banks and insurance firms, consulting companies, public and private research centres, or in academic research. In essence, a Master’s graduate in Mathematical Engineering is someone who can translate complex real-world problems into advanced mathematical models—and use them to design effective and innovative solutions.
The Master’s degree in Mathematical Engineering offers advanced training that combines mathematics, computational methods, and engineering approaches to address complex problems in scientific and technological fields. The programme develops both theoretical and applied skills in modelling, quantitative analysis, numerical methods, and computational technologies, enabling students to tackle real-world problems using modern and rigorous tools.
The programme is structured around four main specialisation tracks, allowing students to tailor their study plan to specific areas of interest:
Computational Science and Computational Learning: focused on the foundations and tools of scientific computing and computational learning, with applications to complex numerical models and emerging technologies.
Statistical Learning: dedicated to statistical theory and techniques for data analysis, inference, and machine learning, with a strong emphasis on data-driven methods.
Quantitative Finance: centred on the use of mathematical and stochastic tools in financial markets, risk modelling, and financial optimisation problems.
Quantum Engineering: an advanced specialisation exploring the mathematical foundations and tools of quantum engineering and its applications.
Across all tracks, in addition to advanced mathematical competencies, students strengthen their skills in programming, modelling, and critical analysis, learning how to design effective and innovative solutions for multidisciplinary and high-impact problems.
Admission to the programme is open to students holding a Bachelor’s degree or an equivalent university qualification, with an adequate background in the fundamental and core subject areas.
Full details on the admission requirements are available in Section 6 of the Programme Educational Regulations
Applicants holding a foreign qualification equivalent to a Bachelor’s degree may apply for admission, provided they have an adequate background in core engineering disciplines and in subject areas relevant to Mathematical Engineering.
Applications are assessed by a dedicated Admissions Committee, which evaluates the applicant’s academic background and compliance with the curricular requirements.
Full details on the admission requirements are available in Section 6 of the Programme Educational Regulations .
Admission with a non-Italian BSc degree
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 196 位 | 法语天主教鲁汶大学Université catholique de Louvain | 2年 | 2505欧元/年 |