Master in Mathematical Engineering

Mathematical Engineering applies advanced mathematical methods, such as differential equations, numerical analysis, optimisation, and probability, to solve problems across engineering and applied science. Typical coursework includes numerical methods, mathematical modelling, computational science, optimisation, and statistics, alongside applications in areas such as mechanics, control systems, finance, or data analysis, depending on the specific focus of the program. Students learn to translate physical or engineering problems into mathematical models and to develop the computational techniques needed to solve them, giving them a strong quantitative foundation applicable across many technical fields. Graduates in mathematical engineering commonly work as data scientists, quantitative analysts, simulation and modelling engineers, or research scientists, finding roles in industries such as finance, aerospace, automotive, energy, and technology, where complex systems require mathematical modelling and computational analysis. Some graduates continue into further research in applied mathematics or engineering, while others move directly into technical roles that rely on numerical simulation, optimisation, or statistical modelling to support decision-making. This master's degree in Mathematical Engineering is delivered in English by Universita degli Studi di Napoli Federico II, located in Napoli, Italy, and runs for 2 years. As a second-cycle program, it is designed for students who already hold a bachelor's qualification in mathematics, engineering, physics, or a related quantitative field, and who want to deepen their expertise in mathematical modelling and computational methods. Napoli, a major academic and industrial centre in southern Italy, hosts this English-taught program, offering international students a technically rigorous route into applied mathematics and engineering.