Second cycle degree in

Mathematical engineering (2020/2021)

Class: LM-44 - Mathematical modelling for engineering

Class LM-44 - Mathematical modelling for engineering
Duration 2 years
Branch Padova
Language English
Admission notice Download
Tuition fees and scholarships
President of the Course of Study STEFANO LANZONI
Access Open access with admission requirements

Next Call for applications (study track 'Financial Engineering') for A.Y. 2020/21:

  • 7th April-7th June (non-EU candidates residing outside Italy)
  • 7th April-7th July (others)

Study track 'Mathematical Modelling for Engineering and Science': please check the Call for applications

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.

Curricula
FINANCIAL ENGINEERING; MATHEMATICAL MODELLING FOR ENGINEERING AND SCIENCE

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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.

Curricula
FINANCIAL ENGINEERING; MATHEMATICAL MODELLING FOR ENGINEERING AND SCIENCE

Entry requirements:

  • Bachelor’s degree in Engineering or related fields (e.g. Mathematics)
  • English language: B2 level (CEFR) or equivalent
  • Additional criteria (e.g. exam grades) for double-degree applicants