Master Degree in Mathematics
Milan, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
02 May 2025
EARLIEST START DATE
15 Oct 2025
TUITION FEES
Request tuition fees
STUDY FORMAT
On-Campus
Introduction
The specialization program in Probability Theory and Applications to Economics, classified under the LM-40 category, is a study track within the Master’s degree program in Mathematics. It is designed to train professionals and researchers with advanced skills in modelling and analyzing economic and financial phenomena. This program integrates a strong theoretical foundation in Mathematical Analysis and Probability with a specific focus on applications in economic and business contexts.
Educational Objectives
The program aims to:
- Provide a solid theoretical foundation in Mathematical Analysis and Probability Theory, essential tools for understanding complex economic and financial models.
- Develop practical skills in constructing and analyzing probabilistic models applied to financial markets, risk management, and resource optimization.
- Integrate mathematical knowledge with fundamental economic concepts, promoting an interdisciplinary education that addresses real-world challenges in the global economy.
This program track, entirely taught in English, represents a unique combination of mathematical rigour and economic applications. Thanks to its solid and interdisciplinary structure, it is aimed at ambitious students who wish to stand out in an increasingly competitive and complex professional landscape.
Admissions
Scholarships and Funding
The University of Milano-Bicocca offers residences to students living away from home. Residences are offered according to the Right to Education principle to students who meet the requirements to obtain accommodation at a reduced price.
You can submit your application for a dorm place together with your application for the *Regional Right to study (DS) scholarship*. You will receive an email with detailed information on how to apply to the "Regional Right to Study (DS) scholarship": after successfully submitting your application for the selected program.
Curriculum
First year
- Numerical Linear Algebra
- Harmonic Analysis
- Functional Analysis
- Geometric Analysis
- Real Analysis and Differential Equations
- Higher Analysis
- Stochastic Calculus and Finance
- Teaching Mathematics
- Partial Differential Equations
- Differential Geometry
- Geometry and Physics
- Symplectic Geometry
- Elementary Mathematics
- Numerical Mathematics for Machine Learning
- Quantum Mechanics
- Methods of Mathematical Physics
- Methods of Applied Analysis
- Stochastic Methods and Models
- Mathematical Methods for Economic Analysis - Optimal Control
- Mathematical Methods for Economic Analysis - Optimization and Convex Analysis
- Advanced Numerical Methods for Partial Differential Equations
- Numerical Methods for Partial Differential Equations
- Topological Methods in Field Theories
- Approximation Methods and Models
- Preparation of Didactic Experiences
- Stochastic Processes
- Dynamical Systems, Information Theory and Complexity
- History of Mathematics
- History of Mathematics - Elements
- Number Theory and Cryptography
- Information Theory and Error-Correcting Codes
- Representation Theory
- Geometric Group Theory
- Algebraic and Computational Topology
- Differential Topology
Second year
- Algebraic Combinatorics
- Symplectic Geometry
- Mathematical Methods for Economic Analysis - Optimization and Convex Analysis