MSc Mathematical Engineering
- Country Italy
- Course Duration 2 year
- Course Type Full Time
- Courses Campus On Campus
- Language Specification IELTS
- Program Level Post-Graduate
- Education Required Graduate
- Admission intake SEP
- Minimum GPA 2.5
Application Charges
| Application Fee | Tution Fee |
|---|---|
| Free | GBP 0 |
Application Date
| Application Start Date | Application Closing Date |
|---|---|
|
2022-12-16
|
2023-02-16
|
Scholarships
| Name | Type | No. Available |
|---|---|---|
| Scholarships |
Program Description
MISSION AND GOALS
This study programme aims at preparing professionals who are able to deal with complex design and managing problems by using advanced mathematical tools, yet with an engineering attitude. It combines a solid background in basic science with a sound knowledge of modern methods and technologies, with a persistent synergy between applied mathematics and engineering. When applying, the prospective student has to choose one out of the following three tracks: Computational Science and Engineering; Applied Statistics; Quantitative Finance.SUBJECTS
Three available tracks. Applicants should specify their choice within their motivation letters.- Computational Science and Engineering
- Main topics: mathemathical and functional analysis, partial differential equations and their numerical treatment, fluid mechanics and computational fluid dynamics, algorithms and scientific computing
- Applied Statistics
- Main topics: mathematical and functional analysis, stochastis processes, applied statistics, data analysis and statistical signal processing, Bayesian and computational statistics
- Quantitative Finance
- Main topics: mathematical and functional analysis, stochastic differential equations and financial market models, mathematical finance, financial engineering, computational finance, data analysis and statistical signal processing
CAREER OPPORTUNITIES
The professional opportunities opened by this programme are rather various and widespread: R&D divisions in manufacturing or engineering companies that deal with complex computational problems or that anyway need advanced mathematical tools; banks, insurance companies and financial institutions making use of quantitative finance for risk analysis or forecast; companies that require statistical interpretation and processing of complex data, or scenario simulation; public and private research institutes and laboratories.Employment StatisticsPROGRAMME WEBSITE
https://www.polimi.it/?id=8992&L=1Visit the MSc Mathematical Engineering page on the Politecnico di Milano website for more details!
Entry Requirements
A Bachelor Degree in Mathematical Engineering or in a related area, with a solid background in the core disciplines: applied mathematics, computer science, physics, engineering.
