Mathematical engineering

Second cycle degree

Class: LM-44 - Mathematical modelling for engineering

Duration: 2 years

Branch: Padova

Language: English


- FINANCIAL ENGINEERING
- MATHEMATICAL MODELLING FOR ENGINEERING AND SCIENCE

Open access with admission requirements

Admission noticeDownload

FeesDownload

Brief overview of the course

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.

Further information Role The professional in mathematical models in the development of engineering works, environmental planning, and industrial and economic-financial projects has seen a strong increase in the past few years. This type of professional is typically a higher education (e.g., PhD) graduate and is generally self-educated in the area of engineering. The need of a specialist in this field is evident. The professional expertise are of interest for innovative and advanced design, the choice, development and validation of mathematical models and of their numerical implementation, in the fields of engineering, physics and financial sciences, with particular attention to risk, investments and trading. Besides the possibility to access to higher formation (PhD) in various disciplines, the graduates in Mathematical Engineering can act as: - modeling expert in the fields of engineering, physics, financial sciences, to assist advance design projects; - supervisor/manager of Research & Development e Technology Transfer divisions of public and private agencies; - modeling expert for process optimization; - modeling analyst for the managing of natural systems and industrial processes; - modeling analyst for the forecasting and simulation of extreme and catastrophic events. Skils The skills characterizing a Mathematical Engineer are related to the ability to choose/develop the mathematical/numerical model that better describes a given problem, to design and plan the numerical tests needed to characterize complex systems, using suitably developed or commercial software. These skills will be acquired through a general mathematical- numerical formation, followed by a specialized physical-modeling path oriented to problems of interest for the areas of engineering, physics and finance. The graduate in Mathematical Engineering will be able to use advanced modeling software, including also advanced tools for data treatment and analysis, as well as to evaluate critically the modeling results, giving informed support to project design and management decisions. Job Opportunities The graduates in Mathematical Engineering will be able cover positions of high responsibility in research and development centers, consulting companies, public and private, in the advanced technological field of industrial engineering, information technology laboratories, financial institutions, banks, insurance companies, energy companies, or consulting firms. The possible job positions include: - freelance professional, consultant for public agencies, design and planning companies, industries, public and private research centers; - modeling expert at research centers and public agencies involved in territorial planning and defense from natural disasters - modeling expert for industries, research and development centers for large and medium enterprises, engineering firms, software houses; insurance companies; financial institutions and banks. Admission The access to Mathematical Engineering requires (see Sect. 2 of the educational regulation at http://didattica.unipd.it/off/2017/LM/IN/IN2191): a - the bachelor in at least one of the classes: L-7 "Civil and Environmental Engineering", L-8 "Information Engineering", L-9 "Industrial Engineering", L-30 "Physics and Technological Sciences", L-31 "Cmputer Sciences and Information Technology", L-35 "Mathematical Sciences", L-18 "Economical and Business Management Sciences" ex DM 270/04, or, alternatively, the achievement of 25 CFUs in the following SSDs: MAT/02, MAT/03, MAT/05, MAT/06, MAT/07, MAT/08, FIS/01, SECS-S/01, SECS-S/02, SECS-S/03, SECS-S/06. b -knowledge of the English Language B2 level. For graduates with an Italian degree different from those ruled by DMs 509/99 and 270/2004, or with a foreign degree, the admission to Mathematical Engineering degree course will be judged by a specially made committee. See also http://www.unipd.it/target/futuri-studenti/come-iscriversi

Course full details