02 Objectives
05 PhD Courses
General information
PhD School - Politecnico di Milano
PhD Program: Mathematics and its Applications
Course start: 12/09/2026
Location of the PhD Program: Milano Leonardo
Promoter Department: Dipartimento di Matematica
Scientific Disciplinary Sectors
MATH-01/B – Mathematics Education and History of Mathematics; MATH-02/A – Algebra; MATH-02/B – Geometry; MATH-03/A – Mathematical Analysis; MATH-03/B – Probability and Mathematical Statistics; MATH-04/A – Mathematical Physics; MATH-05/A – Numerical Analysis; STAT-01/A – Statistics; STAT-04/A – Mathematical Methods of Economy, Finance and Actuarial Sciences.
Objectives
The development of advanced technologies in science and engineering brings an increasing demand of advanced mathematical theories and methods, which in turn fosters the demand for education and training of skilled mathematicians in pure and applied research areas.
The main scope of the PhD course in “Mathematics and its Applications” is to train high-level researchers in all fields of mathematics, mathematical finance and statistics, providing them with a broad and robust background to successfully compete in a rapidly evolving landscape and competitive job market.
A notable feature of students enrolled in the PhD program in “Mathematics and its Applications” is their early and intensive exposure to high-level mathematical research, along with their active involvement in all DMAT activities. From the very beginning of their PhD journey, candidates take part in advanced research projects, both within academia and in collaboration with industry partners, external research centers and public institutions. This provides them with a unique opportunity to contribute meaningfully and to engage with all key aspects of research, including teamwork, strategic planning, and risk management. In addition, candidates could also be involved in other DMAT activities such as teaching, outreach, and science communication.
One of the distinctive skills developed during the PhD experience is the ability to transfer knowledge effectively, adapting it to different contexts, audiences, and communication occasions. This skill enables PhD graduates to work effectively in teams and disseminate their research results both within their specific community and to broader, more diverse audiences.
The PhD program aims to help candidates communicate technical information, both orally and in writing, tailored to academic or non-academic recipients. This goal is supported by courses offered by the PhD School, including Technical Communication classes. Additionally, candidates participate in activities promoting experiential learning (“learning by doing”), the typical learning method of the PhD journey.
Professional Opportunities
The PhD program in "Mathematics and its Applications" offers graduates a comprehensive and rigorous education, preparing them for academic, industrial, and institutional careers. The ability to integrate theoretical insights with practical problem-solving equips them to address complex challenges and drive innovation in established and emerging fields.
Graduates can pursue academic careers at prestigious universities and research institutions, both in Italy and internationally. In the private sector, PhD graduates with a solid mathematical background are in high demand within research and development departments across various industries, including industrial engineering, energy, aerospace, telecommunications, health technologies, pharmaceuticals, advanced manufacturing, and information technology.
The technology sector thus serves as a prominent area of employment for graduates of the PhD program in "Mathematics and its Applications”, particularly in roles related to artificial intelligence (AI), scientific computing, computational learning, and data science, where advanced mathematical expertise is crucial for developing interpretable, reliable, and efficient approaches for complex systems and analyse complex scenarios.
Moreover, graduates of the PhD program in "Mathematics and its Applications” are well-equipped for roles within financial and insurance institutions, applying quantitative techniques to risk and portfolio optimization, trading, and regulatory analysis.
They are highly qualified also for research and advisory positions in public agencies, governmental bodies, and policy-oriented research centres, contributing to evidence-based decision-making, policy modelling, and strategic planning.
Graduate Faculty
| NAME | AFFILIATION | GSD |
|---|---|---|
| Prof. Correggi Michele | Dipartimento di Matematica | MATH-04/A – Fisica Matematica |
| Prof.ssa Antonietti Paola Francesca | Dipartimento di Matematica | MATH-05/A – Analisi Numerica |
| Prof. Barucci Emilio | Dipartimento di Matematica | STAT-04/A – Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie |
| Prof. Bassetti Federico | Dipartimento di Matematica | MATH-03/B – Probabilità e statistica matematica |
| Prof. Ciarletta Pasquale | Dipartimento di Matematica | MATH-04/A – Fisica Matematica |
| Prof. Colombo Fabrizio | Dipartimento di Matematica | MATH-03/A – Analisi Matematica |
| Prof.ssa Confortola Fulvia | Dipartimento di Matematica | MATH-03/B – Probabilità e Statistica Matematica |
| Prof.ssa Conti Monica | Dipartimento di Matematica | MATH-03/A – Analisi Matematica |
| Prof. Fagnola Franco | Dipartimento di Matematica | MATH-03/B – Probabilità e Statistica Matematica |
| Prof. Falconi Marco | Dipartimento di Matematica | MATH-04/A – Fisica Matematica |
| Prof. Fermi Davide | Dipartimento di Matematica | MATH-04/A – Fisica Matematica |
| Prof. Formaggia Luca | Dipartimento di Matematica | MATH-05/A – Analisi Numerica |
| Prof. Grillo Gabriele | Dipartimento di Matematica | MATH-03/A – Analisi Matematica |
| Prof.ssa Guglielmi Alessandra | Dipartimento di Matematica | STAT-01/A – Statistica |
| Prof. Lella Paolo | Dipartimento di Matematica | MATH-02/B – Geometria |
| Prof. Marazzina Daniele | Dipartimento di Matematica | STAT-04/A – Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie |
| Prof. Parolini Nicola | Dipartimento di Matematica | MATH-05/A – Analisi Numerica |
| Prof. Perotto Simona | Dipartimento di Matematica | MATH-05/A – Analisi Numerica |
| Prof. Punzo Fabio | Dipartimento di Matematica | MATH-03/A – Analisi Matematica |
| Prof. Rodaro Emanuele | Dipartimento di Matematica | MATH-02/A – Algebra |
| Prof.ssa Sabadini Irene Maria | Dipartimento di Matematica | MATH-02/B – Geometria |
| Prof.ssa Sangalli Laura | Dipartimento di Matematica | STAT-01/A – Statistica |
| Prof. Sacco Riccardo | Dipartimento di Matematica | MATH-05/A – Analisi Numerica |
| Prof. Verani Marco | Dipartimento di Matematica | MATH-05/A – Analisi Numerica |
| Prof. Verzini Gianmaria | Dipartimento di Matematica | MATH-03/A – Analisi Matematica |
| Prof. Volzone Bruno | Dipartimento di Matematica | MATH-03/A – Analisi Matematica |
PhD Courses
| GSD | Name of the course | Professor | Term | Language | Credits |
|---|---|---|---|---|---|
| MATH-03/A (BA) | An Introduction to Analysis on Graphs | Punzo, Biagi, Meglioli | Spring | English | 5 |
| STAT-01/A (BA) | Data Science: a Tale of Two Cultures | Vantini | Spring | English | 5 |
| MATH-03/B (BA) | Life in the Gaussian World: Probability, Inference, and Learning | Bassetti | Fall | English | 5 |
| MATH-05/A (BA) | Randomized Numerical Linear Algebra with Application in Machine Learning and Engineering | Ciaramella, Miglio | Winter | English | 5 |
| MATH-05/A (SC) | Advanced Discretizations Tools for Multiphysics Problems in Geoscience | Mazzieri, Botti | Winter | English | 5 |
| MATH-03/A (SC) | Microlocal Analysis and Local Theory for Schrödinger Equations | Giuliani | Winter | English | 5 |
| MATH-04/A (SC) | Mathematics of Quantum Spin Systems | Lucia | Spring | English | 5 |
| Mathematics and its Applications I | Correggi | 5 | |||
| Mathematics and its Applications II | Correggi | 5 | |||
Call for applications
Calls for doctoral positions are published throughout the year according to the calendar below. The calls offer both general and topic-specific scholarships. Topical scholarships are linked to specific research topics already defined by the department, while general scholarships involve a broader topic, which will be defined together with the PhD program coordinator.Timeline 42° cycle (2026/2027)4>
Type
Publication
Start of activities
1° Call
May 28 - July 1
September
2° Call
July 30 - September 18
November
3° Call
December 14 - January 14
February
4° Call
March 15 - April 15
May
| Type | Publication | Start of activities |
|---|---|---|
| 1° Call | May 28 - July 1 | September |
| 2° Call | July 30 - September 18 | November |
| 3° Call | December 14 - January 14 | February |
| 4° Call | March 15 - April 15 | May |
Further information is available on the website of the PhD school.