
MSc in Mathematical Engineering
Milan, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 3,898 / per year *
STUDY FORMAT
Blended, On-Campus
* tuition fees for Non-EEA students correspond automatically to the full contribution of 3898,20€; tuition fees for EEA students range from about 895,20 € to 3898,20 € per year
Introduction
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 Sciences for Engineering
- Statistics
- Financial Mathematics
Admissions
Curriculum
Three available tracks. Applicants should specify their choice within their motivation letters.
Computational Science and Engineering
Main topics:
- mathematical 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
- stochastic 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
Rankings
Politecnico di Milano is one of the top universities in Milan, Italy.
It is ranked #111 in QS World University Rankings 2025.
Gallery
Scholarships and Funding
Several scholarship options are available. Please check the institute website for more information.
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.
Program Tuition Fee
English Language Requirements
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Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.