Second cycle degree in

Mathematical engineering

Class: LM-44 - Mathematical modelling for engineering

2023 Engineering   Civil Structural5
Class LM-44 - Mathematical modelling for engineering
Duration 2 years
Branch Padova
Language English
Admission notice Download
Tuition fees and scholarships
Programme coordinator STEFANO LANZONI
Access Open access with admission requirements

Next Calls for applications  - A.Y. 2024/25:

Curriculum 'Mathematical Modelling for Engineering and Science':

  • 1st Call: 2 November 2023 - 2 February 2024 - APPLICATION PLATFORM
  • 2nd Call: 2 March - 2 May 2024
  • 3rd Call (ONLY EU and equated students): 2 June - 2 August 2024

Curriculum 'Financial Engineering':

  • 7 January – 7 March 2024 (non-EU students ONLY)

Please check the Call for admissions (TBD)

Delivered in English, this course combines in-depth knowledge related to applied mathematics and other basic sciences, in particular physics and finance, with an advanced knowledge of the theoretical-scientific aspects of engineering in general, in order to develop advanced mathematical modeling investigation tools. A versatile training that will allow you to face experimental, computational, technological, economic, epistemological problems related to the construction, validation and use of models and to spend these skills to identify, interpret, describe, formulate and solve even complex engineering problems. You will be able to operate in different contexts such as design and experimentation support activities within engineering firms , software houses, banking and insurance institutions, public administrations and public and private research institutions.


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Characteristics and objectives
The program intends to build an Engineer with a strong theoretical and scientific background on mathematical modeling tools, as well as general physical and financial sciences, together with advanced engineering expertise. The successful student will acquire advanced skills in the field of mathematical modeling of physical or financial processes and, in particular, will be trained in the formulation, validation, and critical use of models and in the analytical interpretation of related results. The graduate will be able to effectively formulate complex engineering problems within a multidisciplinary framework, and transfer and discuss results with experts of different disciplines.

Occupational opportunities
The occupational opportunities for the graduates are related to innovation and advanced design, in particular for the development and validation of models and numerical solution procedures in one or more technological and scientific fields, and in economic and financial modeling, including risk analysis, trading, investments. The graduates in the Degree will be able to cover positions of high responsibility in research and development centers, consulting companies, public and private, in the advanced technological field of civil, environmental and industrial, engineering, information technology laboratories, financial institutions, banks, insurance companies, energy companies, or consulting firms.