Mathematical Engineering

Course description

Mathematical Engineering allows to apply mathematics to complex real-world problems from every branch of engineering. It combines mathematical theory, practical engineering and scientific computing to address today's technological challenges. The master degree in Mathematical Engineering aims at answering the request for graduates with a solid technical-scientific formation, highly skilled in synthesizing information, with a particular aptitude at mathematical modelling of complex systems, with exhaustive knowledge of applied mathematics, useful to the resolution of typical engineering problems. The aim of our courses is to equip the student with mathematical modelling, computational and data analysis skills as well as the probabilistic-statistical mindset necessary to solve these challenging real-world problems. For this reason the Master's Degree in Mathematical Engineering graduates is characterized by a multidisciplinary knowledge, which is not focused on a single technical or scientific area, but it is easily applicable to various sections of engineering, relying on the development of an attitude toward the conceptualization of material and immaterial systems referring to different engineering branches. This type of learning provides graduate students with flexible instruments to put themselves within different contexts, with a great potential for innovation, capable of assuring them a wide spectrum of professional progression, both in the first phase of integration in the working environment and in the following development of their career path.

A typical weekly timetable

  • Six lectures and two tutorials or classes
  • Preparation for the tutorials and classes: reading, writing essays, solving problem sets;
  • Discussing the essay or the problems in the tutorial or class
1st year courses  
Courses
  • Real and Functional Analysis
  • Numerical Methods
  • Mathematical Physics Models
  • Thermodynamics and Transport Phenomena
  • Nonlinear Systems
  • Two Optional courses
Assessment

Assessment is through a combination of written exams, coursework, laboratory exercises and oral presentations.


2nd year courses  
Courses
  • Computational Fluid Dynamics
  • Electrodynamics
  • Two Optional courses
Assessment

Assessment is through a combination of written exams, coursework, laboratory exercises and oral presentations.

The content and format of this course may change in some circumstances. Read further information about potential course changes.

Tuition fee

EU students €200/year (university fees) + €140/year regional tax (compulsory)+ €16.00 legal stamp (compulsory)
Non EU students €140/year regional tax (compulsory)+ €16.00 legal stamp (compulsory)

Planning and advising

Students are encouraged to explore their potential interests in Mathematical Engineering by sending an e-mail to mathematical.engineering@unina.it

For Further information

www.mathematical-engineering.unina.it