Mathematics (master programme)
Mathematics (master programme)
Course sheet
A.Y. 2025/2026
Master programme
LM-40 R - Matematica
The core objectives of the Master's degree in Mathematics are:
- to provide a solid and in-depth mathematical understanding, allowing students to specialise in a branch of mathematics and to get acquainted with some of its latest developments;
- to equip students with the mathematical tools necessary for contextualising, analysing and solving complex theoretical as well as practical problems, including problems related to other scientific fields;
- to provide students with an adequate knowledge base to build upon, allowing them to assimilate future advancements in the field of mathematics.
- to provide a solid and in-depth mathematical understanding, allowing students to specialise in a branch of mathematics and to get acquainted with some of its latest developments;
- to equip students with the mathematical tools necessary for contextualising, analysing and solving complex theoretical as well as practical problems, including problems related to other scientific fields;
- to provide students with an adequate knowledge base to build upon, allowing them to assimilate future advancements in the field of mathematics.
For the Master's degree in Mathematics there are two graduate profiles: MATHEMATICIAN and APPLIED MATHEMATICIAN.
MATHEMATICIAN
Job function
Typical job functions for this profile include: analysing phenomena that require a high degree of abstraction and logical rigour; managing and analysing large amounts of complex data; personnel training; disseminating knowledge about STEM subjects (with different degrees of details).
Professional skills
This graduate profile shows a remarkable aptitude for abstract reasoning and logical rigour and is able to use mathematical models, also in innovative ways, to solve the above-mentioned problems. This translates into strong problem-solving skills applicable to a wide range of scientific as well as socio-cultural situations.
Graduates falling under this profile have a solid grounding in mathematical modelling and computational mathematics, as well as advanced theoretical knowledge in at least one of the following fields: mathematical logic, algebra, geometry, didactics of mathematics, mathematical analysis.
Career opportunities
Typical career prospects for this graduate profile include high-level roles in private and public organisations, particularly:
- banks and financial companies
- insurance companies
- universities and other research institutions
- consulting firms
- the aerospace industry.
Graduates who have earned enough credits in certain subject areas, as provided for by the laws in force, may take admission tests for training courses for secondary school teaching.
APPLIED MATHEMATICIAN
Job function
Typical job functions for this profile include: analysing any phenomena (in the field of physics, biology, medicine, etc.) whose understanding requires accurate mathematical modelling; managing and analysing large amounts of complex data; using sophisticated scientific and management software programmes in business settings; disseminating knowledge about STEM subjects (with different degrees of details).
Professional skills
This graduate profile shows a remarkable aptitude for the formalisation and modelling of real-life problems, including highly complex ones, and is able to use mathematical models, also in innovative ways, to solve these problems. This translates into strong problem-solving skills applicable to a wide range of scientific as well as socio-cultural situations.
Graduates falling under this profile have a solid grounding in theoretical mathematics, as well as advanced knowledge of mathematical modelling and computational mathematics in at least one of the following fields: mathematical probability and statistics, mathematical physics, numerical analysis.
Career opportunities
Typical career prospects for this graduate profile include high-level roles in private and public organisations, particularly:
- banks and financial companies
- insurance companies
- universities and other research institutions
- survey institutes
- software development companies
- the aerospace industry.
Graduates who have earned enough credits in certain subject areas, as provided for by the laws in force, may take admission tests for training courses for secondary school teaching.
Employment statistics (Almalaurea)
MATHEMATICIAN
Job function
Typical job functions for this profile include: analysing phenomena that require a high degree of abstraction and logical rigour; managing and analysing large amounts of complex data; personnel training; disseminating knowledge about STEM subjects (with different degrees of details).
Professional skills
This graduate profile shows a remarkable aptitude for abstract reasoning and logical rigour and is able to use mathematical models, also in innovative ways, to solve the above-mentioned problems. This translates into strong problem-solving skills applicable to a wide range of scientific as well as socio-cultural situations.
Graduates falling under this profile have a solid grounding in mathematical modelling and computational mathematics, as well as advanced theoretical knowledge in at least one of the following fields: mathematical logic, algebra, geometry, didactics of mathematics, mathematical analysis.
Career opportunities
Typical career prospects for this graduate profile include high-level roles in private and public organisations, particularly:
- banks and financial companies
- insurance companies
- universities and other research institutions
- consulting firms
- the aerospace industry.
Graduates who have earned enough credits in certain subject areas, as provided for by the laws in force, may take admission tests for training courses for secondary school teaching.
APPLIED MATHEMATICIAN
Job function
Typical job functions for this profile include: analysing any phenomena (in the field of physics, biology, medicine, etc.) whose understanding requires accurate mathematical modelling; managing and analysing large amounts of complex data; using sophisticated scientific and management software programmes in business settings; disseminating knowledge about STEM subjects (with different degrees of details).
Professional skills
This graduate profile shows a remarkable aptitude for the formalisation and modelling of real-life problems, including highly complex ones, and is able to use mathematical models, also in innovative ways, to solve these problems. This translates into strong problem-solving skills applicable to a wide range of scientific as well as socio-cultural situations.
Graduates falling under this profile have a solid grounding in theoretical mathematics, as well as advanced knowledge of mathematical modelling and computational mathematics in at least one of the following fields: mathematical probability and statistics, mathematical physics, numerical analysis.
Career opportunities
Typical career prospects for this graduate profile include high-level roles in private and public organisations, particularly:
- banks and financial companies
- insurance companies
- universities and other research institutions
- survey institutes
- software development companies
- the aerospace industry.
Graduates who have earned enough credits in certain subject areas, as provided for by the laws in force, may take admission tests for training courses for secondary school teaching.
Employment statistics (Almalaurea)
The Master of Science in Mathematics has long been committed to insert its educational activities in an international framework through integrated programs of study. We activated several international cooperation agreements with other universities in Europe and in the world (in Canada, South Africa and India).
The programs ALGANT, Master in Algebra, Geometry and Number Theory, and ECMI, Master in Industrial Mathematics, programs are unique in Europe for pure and industrial mathematics.
These programs are supported by international university consortia and are targeted to the conferment of academic value recognized abroad (that is double degrees) and to the promotion of European higher education. For more information see the institutional web pages
http://www.algant.eu/
http://www.ecmi-indmath.org/
Moreover, in the Erasmus program, we have exchange agreements with universities Austria, Czech Republic, Denmark, Finland, France, Germany, Holland, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden.
See the website http://users.unimi.it/erasmusmat/ for information collected on the various programs of internationalization and the activities carried out abroad.
The programs ALGANT, Master in Algebra, Geometry and Number Theory, and ECMI, Master in Industrial Mathematics, programs are unique in Europe for pure and industrial mathematics.
These programs are supported by international university consortia and are targeted to the conferment of academic value recognized abroad (that is double degrees) and to the promotion of European higher education. For more information see the institutional web pages
http://www.algant.eu/
http://www.ecmi-indmath.org/
Moreover, in the Erasmus program, we have exchange agreements with universities Austria, Czech Republic, Denmark, Finland, France, Germany, Holland, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden.
See the website http://users.unimi.it/erasmusmat/ for information collected on the various programs of internationalization and the activities carried out abroad.
Attendance is strongly recommended for each course.
Enrolment
Admission assessment:
Candidates are required to submit a specific application for admission to the Master's degree programme in Mathematics (see the link: https://www.unimi.it/en/study/bachelor-and-master-study/degree-programme-enrolment/enrolment-masters-programme/open-admission-master-programmes).
We discourage students who, as of 9 September 2025, fall short of the 180 credit (CFU) requirement for earning a Bachelor's degree by more than 40 CFU, from applying for admission.
Those who graduated from the Bachelor's degree programme in Mathematics of the University of Milan with at least 95/110 will be waived from the knowledge and curricular assessment requirement.
Applications will be reviewed by a special commission of the Mathematics Academic Board, which will meet at least twice a year. The commission may consider only the documents submitted by applicants, though as a rule it will also interview them. Interviewees must show a photo ID.
Interview dates:
20 May 2025: session reserved for non-EU students requesting visas (electronically)
20 June 2025: (or possibly online)
17 September 2025: (or possibly online)
24 November 2025: (or possibly online)
9 January 2026: Board room of the Department of Mathematics
The time will be announced later on.
The Commission may decide:
a) to admit the applicant without any restrictions;
b) to admit the applicant with the requirement to include certain courses (possibly within a Bachelor's degree programme) in his/her study plan. Any requirements are included in the 120 CFU provided for by the programme and do not constitute an additional requirement for the applicant;
c) not to admit the applicant.
Candidates are required to submit a specific application for admission to the Master's degree programme in Mathematics (see the link: https://www.unimi.it/en/study/bachelor-and-master-study/degree-programme-enrolment/enrolment-masters-programme/open-admission-master-programmes).
We discourage students who, as of 9 September 2025, fall short of the 180 credit (CFU) requirement for earning a Bachelor's degree by more than 40 CFU, from applying for admission.
Those who graduated from the Bachelor's degree programme in Mathematics of the University of Milan with at least 95/110 will be waived from the knowledge and curricular assessment requirement.
Applications will be reviewed by a special commission of the Mathematics Academic Board, which will meet at least twice a year. The commission may consider only the documents submitted by applicants, though as a rule it will also interview them. Interviewees must show a photo ID.
Interview dates:
20 May 2025: session reserved for non-EU students requesting visas (electronically)
20 June 2025: (or possibly online)
17 September 2025: (or possibly online)
24 November 2025: (or possibly online)
9 January 2026: Board room of the Department of Mathematics
The time will be announced later on.
The Commission may decide:
a) to admit the applicant without any restrictions;
b) to admit the applicant with the requirement to include certain courses (possibly within a Bachelor's degree programme) in his/her study plan. Any requirements are included in the 120 CFU provided for by the programme and do not constitute an additional requirement for the applicant;
c) not to admit the applicant.
Admission
Application for admission: from 22/01/2025 to 25/08/2025
Application for matriculation: from 02/04/2025 to 15/01/2026
Attachments and documents
Online services
Learn more:
Programme description and courses list
Open sessions
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| English Proficiency B2 (3 ECTS) | 3 | 0 | English | NN |
be activated by the A.Y. 2026/2027
Conclusive activities
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Final Exam | 27 | 0 | Italian | NN |
First semester
Second semester
Open sessions
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Financial Technologies | 3 | 20 | Italian | NN |
| Laboratory of Education and Public Engagement | 3 | 0 | Italian | NN |
| Laboratory of Mathematical Methods and Models in Python | 3 | 30 | Italian | NN |
| Supplementary Seminar in an Advanced Mathematics Area | 3 | 0 | Italian | NN |
Optional activities and study plan rules
a1 - ATTIVITA' CARATTERIZZANTI: 45 CREDITI
Gli studenti devono conseguire almeno 18 crediti nei settori Mat/01-02-03-04-05 scegliendo corsi che compaiono nella seguente tabella 1A.
Gli studenti devono conseguire almeno 18 crediti nei settori Mat/01-02-03-04-05 scegliendo corsi che compaiono nella seguente tabella 1A.
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Advanced Probability | 9 | 78 | Italian | First semester | MAT/06 |
| Algebraic Number Theory | 6 | 42 | Italian | Second semester | MAT/02 |
| Algebraic Topology | 6 | 47 | Italian | First semester | MAT/03 |
| Commutative Algebra | 6 | 42 | Italian | First semester | MAT/02 |
| Complex Analysis | 9 | 73 | Italian | Second semester | MAT/05 |
| Complex Analysis | 6 | 47 | Italian | Second semester | MAT/05 |
| Complex Geometry | 6 | 42 | Italian | Second semester | MAT/03 |
| Complex Manifolds | 9 | 73 | Italian | First semester | MAT/03 |
| Complex Manifolds | 6 | 47 | Italian | First semester | MAT/03 |
| Didactics of Geometry | 6 | 52 | Italian | Second semester | MAT/04 |
| Didactics of Infinitesimal Calculus | 6 | 42 | Italian | First semester | MAT/04 |
| Differential Geometry | 6 | 42 | Italian | First semester | MAT/03 |
| Dynamical Systems 1 | 6 | 42 | Italian | Second semester | MAT/07 |
| Functional Analysis | 6 | 42 | Italian | First semester | MAT/05 |
| Hamiltonian System 1 | 9 | 73 | Italian | First semester | MAT/07 |
| Hamiltonian System 1 | 6 | 47 | Italian | First semester | MAT/07 |
| Mathematical Logic 1 | 6 | 47 | Italian | First semester | MAT/01 |
| Mathematical Logic 1 | 9 | 73 | Italian | First semester | MAT/01 |
| Mathematical Logic 2 | 6 | 42 | Italian | Second semester | MAT/01 |
| Numerical Methods for Partial Differential Equations 1 | 9 | 78 | Italian | First semester | MAT/08 |
| Numerical Methods for Partial Differential Equations 2 | 9 | 78 | Italian | Second semester | MAT/08 |
| Partial Differential Equations | 6 | 42 | Italian | Second semester | MAT/05 |
| Real Analysis | 9 | 73 | Italian | First semester | MAT/05 |
| Relativity 1 | 9 | 78 | Italian | Second semester | MAT/07 |
| Representation Theory | 6 | 42 | Italian | First semester | MAT/02 |
| Stochastic Calculus and Applications | 9 | 73 | Italian | Second semester | MAT/06 |
a2 - Gli studenti devono conseguire almeno 12 crediti , nei settori Mat/01-02-03-04-05 scegliendo corsi che compaiono nella seguente tabella 2A.
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Advanced Mathematical Statistics | 9 | 78 | Italian | First semester | MAT/06 |
| Advanced Partial Differential Equations | 6 | 42 | Italian | First semester | MAT/05 |
| Advanced Topics in Real Analysis | 6 | 42 | Italian | Second semester | MAT/05 |
| Algebra 4 | 9 | 78 | Italian | Second semester | MAT/02 |
| Algebraic and Categorical Logic | 6 | 42 | Italian | First semester | MAT/01 |
| Algebraic Combinatorics | 6 | 42 | Italian | First semester | MAT/02 |
| Algebraic Surfaces | 6 | 42 | Italian | Second semester | MAT/03 |
| Analytic Number Theory | 6 | 42 | Italian | Second semester | MAT/05 |
| Automated Reasoning | 6 | 52 | Italian | Second semester | MAT/01 |
| Biomathematics 1 | 6 | 42 | Italian | First semester | MAT/07 |
| Calculus of Variations | 6 | 42 | Italian | Second semester | MAT/05 |
| Categorical Dualities in Logic and Algebra | 6 | 42 | Italian | First semester | MAT/01 |
| Category Theory | 6 | 47 | Italian | First semester | MAT/02 |
| Category Theory | 9 | 73 | Italian | First semester | MAT/02 |
| Computability and Computational Complexity | 6 | 42 | Italian | First semester | INF/01 |
| Didactics of Mathematic | 9 | 73 | Italian | First semester | MAT/04 |
| Didactics of Mathematic | 6 | 47 | Italian | First semester | MAT/04 |
| Differential Topology | 6 | 42 | Italian | Second semester | MAT/03 |
| Dynamical System 2 | 6 | 42 | Italian | First semester | MAT/07 |
| Elementary Mathematics from an Advanced Standpoint 1 | 6 | 42 | Italian | Second semester | MAT/04 |
| Foundations of Mathematics I | 6 | 42 | Italian | Second semester | MAT/04 |
| Fourier Analysis | 6 | 42 | Italian | First semester | MAT/05 |
| Geometry 5 | 9 | 78 | Italian | First semester | MAT/03 |
| Geometry of Schemes | 9 | 73 | Italian | First semester | MAT/03 |
| Geometry of Schemes | 6 | 47 | Italian | First semester | MAT/03 |
| Higher Geometry 1 | 6 | 42 | Italian | First semester | MAT/03 |
| Higher Geometry 2 | 6 | 52 | Italian | First semester | MAT/03 |
| History of Mathematics 1 | 6 | 42 | Italian | Second semester | MAT/04 |
| Homological Algebra | 6 | 42 | Italian | Second semester | MAT/02 |
| Homotopical Algebra | 6 | 42 | English | Second semester | MAT/02 |
| Lie Groups | 6 | 42 | Italian | Second semester | MAT/03 |
| Mathematical Analysis 5 | 6 | 60 | Italian | First semester | MAT/05 |
| Mathematical Fluid-Mechanics | 6 | 42 | Italian | Second semester | MAT/07 |
| Non Linear Partial Differential Equations | 6 | 42 | Italian | First semester | MAT/05 |
| Numerical Linear Algebra | 6 | 60 | English | Second semester | MAT/08 |
| Numerical Methods for Partial Differential Equations 3 | 9 | 78 | Italian | First semester | MAT/08 |
| Numerical Optimization | 6 | 52 | Italian | Second semester | MAT/08 |
| Operating Systems and Computer Networks | 6 | 47 | Italian | Second semester | INF/01 |
| Optimal Transport and Applications. | 6 | 42 | Italian | First semester | MAT/05 |
| Point Processes and Random Sets | 6 | 47 | Italian | Second semester | MAT/06 |
| Preparation of Didactical Experiences 1 | 6 | 52 | Italian | First semester | FIS/08 |
| Preparation of Future Teachers 2 | 6 | 52 | Italian | Second semester | FIS/08 |
| Projective Algebraic Geometry | 6 | 47 | Italian | First semester | MAT/03 |
| Riemannian Geometry | 6 | 42 | Italian | Second semester | MAT/03 |
| Scientific Computing | 6 | 60 | Italian | First semester | MAT/08 |
| Stochastic Control Optimization | 6 | 47 | Italian | First semester | MAT/06 |
a3 - Gli studenti devono conseguire almeno 6 crediti nei settori Mat/06-07-08-09 scegliendo corsi che compaiono nelle tabelle 1A e 2A.
a4 - Gli studenti devono conseguire i crediti rimanenti per raggiungere il totale di 45 scegliendo corsi in un qualunque settore Mat/xx tra quelli che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C.
a5 - ATTIVITA' AFFINI O INTEGRATIVE: 24 CREDITI
Gli studenti devono conseguire 24 crediti scegliendo tra:
· insegnamenti in settori diversi da Mat/xx che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C;
· ulteriori insegnamenti offerti dall'Ateneo, in settori diversi da Mat/xx fuori dalle citate tabelle;
· almeno 12 crediti tra gli insegnamenti appartenenti a settori scientifico-disciplinari MAT/01-09 compresi nelle tabelle 1A-2A-1B-2B-1C-2C in base all'orientamento scelto.
Tranne per la prima opzione, la scelta sarà soggetta all'approvazione del CDM.
Gli studenti devono conseguire 24 crediti scegliendo tra:
· insegnamenti in settori diversi da Mat/xx che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C;
· ulteriori insegnamenti offerti dall'Ateneo, in settori diversi da Mat/xx fuori dalle citate tabelle;
· almeno 12 crediti tra gli insegnamenti appartenenti a settori scientifico-disciplinari MAT/01-09 compresi nelle tabelle 1A-2A-1B-2B-1C-2C in base all'orientamento scelto.
Tranne per la prima opzione, la scelta sarà soggetta all'approvazione del CDM.
a6 - ULTERIORI ATTIVITA' FORMATIVE: 3 CREDITI
Gli studenti devono conseguire 3 crediti preparando un seminario, su un argomento assegnato da un docente a scelta dello studente oppure seguendo altre attività quali quelle previste per il curriculum C o il corso di laboratorio di modellistica matematica o tramite l'attività "Tecnologie per la finanza" (rivolgersi al Prof.Maggis) o il "Laboratorio di Metodi e Modelli Matematici in Python" (rivolgersi al Prof. Paleari; gli studenti possono conseguire 3 crediti tramite i Laboratori di Didattica e di Divulgazione (rivolgersi al Prof.Penati).
Gli studenti devono conseguire 3 crediti preparando un seminario, su un argomento assegnato da un docente a scelta dello studente oppure seguendo altre attività quali quelle previste per il curriculum C o il corso di laboratorio di modellistica matematica o tramite l'attività "Tecnologie per la finanza" (rivolgersi al Prof.Maggis) o il "Laboratorio di Metodi e Modelli Matematici in Python" (rivolgersi al Prof. Paleari; gli studenti possono conseguire 3 crediti tramite i Laboratori di Didattica e di Divulgazione (rivolgersi al Prof.Penati).
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Financial Technologies | 3 | 20 | Italian | Open sessions | NN |
| Laboratory of Education and Public Engagement | 3 | 0 | Italian | Open sessions | NN |
| Laboratory of Mathematical Methods and Models in Python | 3 | 30 | Italian | Open sessions | NN |
| Supplementary Seminar in an Advanced Mathematics Area | 3 | 0 | Italian | Open sessions | NN |
a7 - CREDITI A LIBERA SCELTA: gli studenti devono acquisire i crediti mancanti a raggiungere il numero di 93 seguendo insegnamenti a libera scelta, scegliendo tra tutti gli insegnamenti erogati dall'Ateneo, purché coerenti con il progetto formativo e previa approvazione del Collegio Didattico. La scelta verrà sottoposta ad approvazione della Commissione di valutazione del Piano di studi presentato dallo studente.
Gli insegnamenti della laurea triennale che non sono obbligatori per tutti possono essere inseriti nel piano studi solo tra i crediti liberi.
Gli insegnamenti della laurea triennale obbligatori per tutti possono essere solo assegnati dalla commissione di ammissione.
Gli insegnamenti della laurea triennale che non sono obbligatori per tutti possono essere inseriti nel piano studi solo tra i crediti liberi.
Gli insegnamenti della laurea triennale obbligatori per tutti possono essere solo assegnati dalla commissione di ammissione.
There are no prerequisites.
Open sessions
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| English Proficiency B2 (3 ECTS) | 3 | 0 | English | NN |
be activated by the A.Y. 2026/2027
Conclusive activities
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Final Exam | 27 | 0 | Italian | NN |
First semester
Second semester
First four month period
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Complementi di ricerca operativa | 6 | 48 | Italian | MAT/09 |
| Decision methods and models | 6 | 48 | Italian | MAT/09 |
Second four month period
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Logistica | 6 | 48 | Italian | MAT/09 |
| Ottimizzazione combinatoria | 6 | 48 | Italian | MAT/09 |
Open sessions
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Financial Technologies | 3 | 20 | Italian | NN |
| Laboratory of Education and Public Engagement | 3 | 0 | Italian | NN |
| Laboratory of Mathematical Methods and Models in Python | 3 | 30 | Italian | NN |
| Supplementary Seminar in an Advanced Mathematics Area | 3 | 0 | Italian | NN |
Optional activities and study plan rules
b1 - ATTIVITA' CARATTERIZZANTI:45 CREDITI
Gli studenti devono conseguire almeno 9 crediti nei settori Mat/01-02-03-04-05 scegliendo corsi che compaiono nella seguente tabella 1B.
Gli studenti devono conseguire almeno 9 crediti nei settori Mat/01-02-03-04-05 scegliendo corsi che compaiono nella seguente tabella 1B.
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Advanced Mathematical Statistics | 9 | 78 | Italian | First semester | MAT/06 |
| Advanced Probability | 9 | 78 | Italian | First semester | MAT/06 |
| Complex Analysis | 9 | 73 | Italian | Second semester | MAT/05 |
| Complex Analysis | 6 | 47 | Italian | Second semester | MAT/05 |
| Didactics of Geometry | 6 | 52 | Italian | Second semester | MAT/04 |
| Didactics of Infinitesimal Calculus | 6 | 42 | Italian | First semester | MAT/04 |
| Dynamical Systems 1 | 6 | 42 | Italian | Second semester | MAT/07 |
| Functional Analysis | 6 | 42 | Italian | First semester | MAT/05 |
| Hamiltonian System 1 | 6 | 47 | Italian | First semester | MAT/07 |
| Hamiltonian System 1 | 9 | 73 | Italian | First semester | MAT/07 |
| Mathematical Finance 1 | 9 | 73 | Italian | First semester | SECS-S/06 |
| Numerical Methods for Partial Differential Equations 1 | 9 | 78 | Italian | First semester | MAT/08 |
| Numerical Methods for Partial Differential Equations 2 | 9 | 78 | Italian | Second semester | MAT/08 |
| Partial Differential Equations | 6 | 42 | Italian | Second semester | MAT/05 |
| Real Analysis | 9 | 73 | Italian | First semester | MAT/05 |
| Relativity 1 | 9 | 78 | Italian | Second semester | MAT/07 |
| Stochastic Calculus and Applications | 9 | 73 | Italian | Second semester | MAT/06 |
b2 - Gli studenti devono conseguire almeno 6 crediti nei settori Mat/01-02-03-04-05 scegliendo corsi che compaiono nella seguente tabella 2B, oppure nella precedente tabella 1B.
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Advanced Partial Differential Equations | 6 | 42 | Italian | First semester | MAT/05 |
| Advanced Topics in Financial Mathematics | 6 | 42 | Italian | First semester | SECS-S/06 |
| Advanced Topics in Real Analysis | 6 | 42 | Italian | Second semester | MAT/05 |
| Algebra 4 | 9 | 78 | Italian | Second semester | MAT/02 |
| Biologia molecolare e bioinformatica | 12 | 96 | Italian | Second semester | BIO/11 |
| Biomathematics 1 | 6 | 42 | Italian | First semester | MAT/07 |
| Calculus of Variations | 6 | 42 | Italian | Second semester | MAT/05 |
| Citologia e istologia | 9 | 78 | Italian | First semester | BIO/06 |
| Complementi di ricerca operativa | 6 | 48 | Italian | First four month period | MAT/09 |
| Computability and Computational Complexity | 6 | 42 | Italian | First semester | INF/01 |
| Decision methods and models | 6 | 48 | Italian | First four month period | MAT/09 |
| Didactics of Mathematic | 9 | 73 | Italian | First semester | MAT/04 |
| Didactics of Mathematic | 6 | 47 | Italian | First semester | MAT/04 |
| Dynamical System 2 | 6 | 42 | Italian | First semester | MAT/07 |
| Ecologia | 9 | 80 | Italian | First semester | BIO/07 |
| Elementary Mathematics from an Advanced Standpoint 1 | 6 | 42 | Italian | Second semester | MAT/04 |
| Fisiologia generale e animale | 9 | 80 | Italian | Second semester | BIO/09 |
| Foundations of Mathematics I | 6 | 42 | Italian | Second semester | MAT/04 |
| Fourier Analysis | 6 | 42 | Italian | First semester | MAT/05 |
| Genetics | 9 | 80 | Italian | First semester | BIO/18 |
| Geometry 5 | 9 | 78 | Italian | First semester | MAT/03 |
| History of Mathematics 1 | 6 | 42 | Italian | Second semester | MAT/04 |
| Lie Groups | 6 | 42 | Italian | Second semester | MAT/03 |
| Logistica | 6 | 48 | Italian | Second four month period | MAT/09 |
| Mathematical Analysis 5 | 6 | 60 | Italian | First semester | MAT/05 |
| Mathematical Finance 2 | 6 | 42 | Italian | Second semester | SECS-S/06 |
| Mathematical Fluid-Mechanics | 6 | 42 | Italian | Second semester | MAT/07 |
| Mathematical Modelling Laboratory | 6 | 72 | Italian | Second semester | MAT/06 MAT/07 MAT/08 |
| Non Linear Partial Differential Equations | 6 | 42 | Italian | First semester | MAT/05 |
| Numerical Linear Algebra | 6 | 60 | English | Second semester | MAT/08 |
| Numerical Methods for Partial Differential Equations 3 | 9 | 78 | Italian | First semester | MAT/08 |
| Numerical Optimization | 6 | 52 | Italian | Second semester | MAT/08 |
| Operating Systems and Computer Networks | 6 | 47 | Italian | Second semester | INF/01 |
| Optimal Transport and Applications. | 6 | 42 | Italian | First semester | MAT/05 |
| Ottimizzazione combinatoria | 6 | 48 | Italian | Second four month period | MAT/09 |
| Point Processes and Random Sets | 6 | 47 | Italian | Second semester | MAT/06 |
| Ricerca operativa | 6 | 48 | Italian | Second semester | MAT/09 |
| Scientific Computing | 6 | 60 | Italian | First semester | MAT/08 |
| Stochastic Control Optimization | 6 | 47 | Italian | First semester | MAT/06 |
b3 - Gli studenti devono conseguire almeno 12 crediti nei settori Mat/06-07-08-09 inserendo nel proprio piano di studio corsi che compaiono nella tabella 1B.
b4 - Gli studenti devono conseguire almeno 12 crediti nei settori Mat/06-07-08-09 inserendo nel proprio piano di studio corsi che compaiono nella tabella 2B.
b5 - Gli studenti devono conseguire i crediti rimanenti per il raggiungimento dei 45 crediti scegliendo corsi in un qualunque settore Mat/xx tra quelli che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C.
b6 - ATTIVITA'AFFINI O INTEGRATIVE: 24 crediti
Gli studenti devono conseguire 24 crediti scegliendo:
· insegnamenti in settori diversi da Mat/xx che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C;
· ulteriori insegnamenti offerti dall'Ateneo, in settori diversi da Mat/xx fuori dalle citate tabelle;
· almeno 12 crediti tra gli insegnamenti appartenenti a settori scientifico-disciplinari MAT/01-09 compresi nelle tabelle 1A,2A,1B,2B,1C,2C in base all'orientamento scelto.
Tranne per la prima opzione, la scelta sarà soggetta all'approvazione del CDM.
Gli studenti devono conseguire 24 crediti scegliendo:
· insegnamenti in settori diversi da Mat/xx che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C;
· ulteriori insegnamenti offerti dall'Ateneo, in settori diversi da Mat/xx fuori dalle citate tabelle;
· almeno 12 crediti tra gli insegnamenti appartenenti a settori scientifico-disciplinari MAT/01-09 compresi nelle tabelle 1A,2A,1B,2B,1C,2C in base all'orientamento scelto.
Tranne per la prima opzione, la scelta sarà soggetta all'approvazione del CDM.
b7 - ULTERIORI ATTIVITA' FORMATIVE: 3 CREDITI
Gli studenti devono conseguire 3 crediti preparando un seminario, su un argomento assegnato da un docente a scelta dello studente oppure seguendo altre attivita' quali quelle previste per il curriculum C o il corso di laboratorio di modellistica matematica o tramite l'attività "Tecnologie per la finanza" (rivolgersi al Prof.Maggis) o il "Laboratorio di Metodi e Modelli Matematici in Python" (rivolgersi al Prof. Paleari); gli studenti possono conseguire 3 crediti tramite i Laboratori di Didattica e di Divulgazione (rivolgersi al Prof.Penati).
Gli studenti devono conseguire 3 crediti preparando un seminario, su un argomento assegnato da un docente a scelta dello studente oppure seguendo altre attivita' quali quelle previste per il curriculum C o il corso di laboratorio di modellistica matematica o tramite l'attività "Tecnologie per la finanza" (rivolgersi al Prof.Maggis) o il "Laboratorio di Metodi e Modelli Matematici in Python" (rivolgersi al Prof. Paleari); gli studenti possono conseguire 3 crediti tramite i Laboratori di Didattica e di Divulgazione (rivolgersi al Prof.Penati).
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Financial Technologies | 3 | 20 | Italian | Open sessions | NN |
| Laboratory of Education and Public Engagement | 3 | 0 | Italian | Open sessions | NN |
| Laboratory of Mathematical Methods and Models in Python | 3 | 30 | Italian | Open sessions | NN |
| Supplementary Seminar in an Advanced Mathematics Area | 3 | 0 | Italian | Open sessions | NN |
b8 - CREDITI A LIBERA SCELTA: gli studenti devono acquisire i crediti mancanti a raggiungere il numero di 93 seguendo insegnamenti a libera scelta, scegliendo tra tutti gli insegnamenti erogati dall'Ateneo,purché coerenti con il progetto formativo e previa approvazione del Collegio Didattico. La scelta verrà sottoposta ad approvazione della Commissione di valutazione del Piano di studi presentato dallo studente.
Gli insegnamenti della laurea triennale che non sono obbligatori per tutti possono essere inseriti nel piano studi solo tra i crediti liberi.
Gli insegnamenti della laurea triennale obbligatori per tutti possono essere solo assegnati dalla commissione di ammissione.
Gli insegnamenti della laurea triennale che non sono obbligatori per tutti possono essere inseriti nel piano studi solo tra i crediti liberi.
Gli insegnamenti della laurea triennale obbligatori per tutti possono essere solo assegnati dalla commissione di ammissione.
There are no prerequisites.
Open sessions
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| English Proficiency B2 (3 ECTS) | 3 | 0 | English | NN |
be activated by the A.Y. 2026/2027
Conclusive activities
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Final Exam | 27 | 0 | Italian | NN |
First semester
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Advanced Mathematical Statistics | 9 | 78 | Italian | MAT/06 |
| Advanced Partial Differential Equations | 6 | 42 | Italian | MAT/05 |
| Advanced Probability | 9 | 78 | Italian | MAT/06 |
| Advanced Topics in Financial Mathematics | 6 | 42 | Italian | SECS-S/06 |
| Biomathematics 1 | 6 | 42 | Italian | MAT/07 |
| Dynamical System 2 | 6 | 42 | Italian | MAT/07 |
| Fourier Analysis | 6 | 42 | Italian | MAT/05 |
| Functional Analysis | 6 | 42 | Italian | MAT/05 |
| Geometry 5 | 9 | 78 | Italian | MAT/03 |
| Hamiltonian System 1 | 9 | 73 | Italian | MAT/07 |
| Hamiltonian System 1 | 6 | 47 | Italian | MAT/07 |
| Mathematical Analysis 5 | 6 | 60 | Italian | MAT/05 |
| Mathematical Finance 1 | 9 | 73 | Italian | SECS-S/06 |
| Non Linear Partial Differential Equations | 6 | 42 | Italian | MAT/05 |
| Numerical Methods for Partial Differential Equations 1 | 9 | 78 | Italian | MAT/08 |
| Numerical Methods for Partial Differential Equations 3 | 9 | 78 | Italian | MAT/08 |
| Real Analysis | 9 | 73 | Italian | MAT/05 |
| Scientific Computing | 6 | 60 | Italian | MAT/08 |
| Stochastic Control Optimization | 6 | 47 | Italian | MAT/06 |
Second semester
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Advanced Topics in Real Analysis | 6 | 42 | Italian | MAT/05 |
| Calculus of Variations | 6 | 42 | Italian | MAT/05 |
| Complex Analysis | 9 | 73 | Italian | MAT/05 |
| Complex Analysis | 6 | 47 | Italian | MAT/05 |
| Dynamical Systems 1 | 6 | 42 | Italian | MAT/07 |
| Mathematical Finance 2 | 6 | 42 | Italian | SECS-S/06 |
| Mathematical Fluid-Mechanics | 6 | 42 | Italian | MAT/07 |
| Numerical Linear Algebra | 6 | 60 | English | MAT/08 |
| Numerical Methods for Partial Differential Equations 2 | 9 | 78 | Italian | MAT/08 |
| Numerical Optimization | 6 | 52 | Italian | MAT/08 |
| Operating Systems and Computer Networks | 6 | 47 | Italian | INF/01 |
| Partial Differential Equations | 6 | 42 | Italian | MAT/05 |
| Point Processes and Random Sets | 6 | 47 | Italian | MAT/06 |
| Relativity 1 | 9 | 78 | Italian | MAT/07 |
| Ricerca operativa | 6 | 48 | Italian | MAT/09 |
| Stochastic Calculus and Applications | 9 | 73 | Italian | MAT/06 |
First four month period
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Complementi di ricerca operativa | 6 | 48 | Italian | MAT/09 |
| Decision methods and models | 6 | 48 | Italian | MAT/09 |
Second four month period
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Logistica | 6 | 48 | Italian | MAT/09 |
| Ottimizzazione combinatoria | 6 | 48 | Italian | MAT/09 |
Open sessions
There are no specific sessions for these activities.
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Algant Summer School | 3 | 0 | Italian | NN |
| Ecmi Modelling Week | 3 | 0 | Italian | NN |
| Financial Technologies | 3 | 20 | Italian | NN |
| Internship in Industry | 6 | 0 | Italian | NN |
| Laboratory of Mathematical Methods and Models in Python | 3 | 30 | Italian | NN |
| Supplementary Seminar in an Advanced Mathematics Area | 3 | 0 | Italian | NN |
Optional activities and study plan rules
c1 - ATTIVITA' CARATTERIZZANTI: 45 CREDITI
Gli studenti devono conseguire ALMENO 15 crediti nel settore Mat/05, 9 crediti nel settore Mat/06, 9 nel settore Mat/08, inserendo nel proprio piano di studi corsi che compaiono nella seguente tabella 1C. Nel caso ciò non fosse possibile per qualche SSD (per es. quando l'esame di alcuni di questi insegnamenti fosse già stato sostenuto nel corso di un CdL triennale) lo studente deve inserire nel proprio piano degli studi gli eventuali insegnamenti di quel SSD rimasti nella tabella e, se necessario, aggiungere insegnamenti di quel SSD fino al raggiungimento dei crediti prescritti scegliendoli tra quelli attivati e presenti nella tabella 2C.
Gli studenti devono conseguire ALMENO 15 crediti nel settore Mat/05, 9 crediti nel settore Mat/06, 9 nel settore Mat/08, inserendo nel proprio piano di studi corsi che compaiono nella seguente tabella 1C. Nel caso ciò non fosse possibile per qualche SSD (per es. quando l'esame di alcuni di questi insegnamenti fosse già stato sostenuto nel corso di un CdL triennale) lo studente deve inserire nel proprio piano degli studi gli eventuali insegnamenti di quel SSD rimasti nella tabella e, se necessario, aggiungere insegnamenti di quel SSD fino al raggiungimento dei crediti prescritti scegliendoli tra quelli attivati e presenti nella tabella 2C.
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Advanced Mathematical Statistics | 9 | 78 | Italian | First semester | MAT/06 |
| Dynamical Systems 1 | 6 | 42 | Italian | Second semester | MAT/07 |
| Functional Analysis | 6 | 42 | Italian | First semester | MAT/05 |
| Hamiltonian System 1 | 9 | 73 | Italian | First semester | MAT/07 |
| Hamiltonian System 1 | 6 | 47 | Italian | First semester | MAT/07 |
| Numerical Methods for Partial Differential Equations 1 | 9 | 78 | Italian | First semester | MAT/08 |
| Numerical Methods for Partial Differential Equations 2 | 9 | 78 | Italian | Second semester | MAT/08 |
| Partial Differential Equations | 6 | 42 | Italian | Second semester | MAT/05 |
| Real Analysis | 9 | 73 | Italian | First semester | MAT/05 |
| Stochastic Calculus and Applications | 9 | 73 | Italian | Second semester | MAT/06 |
c2 - Gli studenti devono conseguire almeno 6 crediti nei settori mat/06-07-08-09 inserendo nel proprio piano di studi corsi che compaiono nella seguente tabella 2C.
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Advanced Partial Differential Equations | 6 | 42 | Italian | First semester | MAT/05 |
| Advanced Probability | 9 | 78 | Italian | First semester | MAT/06 |
| Advanced Topics in Financial Mathematics | 6 | 42 | Italian | First semester | SECS-S/06 |
| Advanced Topics in Real Analysis | 6 | 42 | Italian | Second semester | MAT/05 |
| Biomathematics 1 | 6 | 42 | Italian | First semester | MAT/07 |
| Calculus of Variations | 6 | 42 | Italian | Second semester | MAT/05 |
| Complementi di ricerca operativa | 6 | 48 | Italian | First four month period | MAT/09 |
| Complex Analysis | 9 | 73 | Italian | Second semester | MAT/05 |
| Complex Analysis | 6 | 47 | Italian | Second semester | MAT/05 |
| Decision methods and models | 6 | 48 | Italian | First four month period | MAT/09 |
| Dynamical System 2 | 6 | 42 | Italian | First semester | MAT/07 |
| Fourier Analysis | 6 | 42 | Italian | First semester | MAT/05 |
| Geometry 5 | 9 | 78 | Italian | First semester | MAT/03 |
| Logistica | 6 | 48 | Italian | Second four month period | MAT/09 |
| Mathematical Analysis 5 | 6 | 60 | Italian | First semester | MAT/05 |
| Mathematical Finance 1 | 9 | 73 | Italian | First semester | SECS-S/06 |
| Mathematical Finance 2 | 6 | 42 | Italian | Second semester | SECS-S/06 |
| Mathematical Fluid-Mechanics | 6 | 42 | Italian | Second semester | MAT/07 |
| Non Linear Partial Differential Equations | 6 | 42 | Italian | First semester | MAT/05 |
| Numerical Linear Algebra | 6 | 60 | English | Second semester | MAT/08 |
| Numerical Methods for Partial Differential Equations 3 | 9 | 78 | Italian | First semester | MAT/08 |
| Numerical Optimization | 6 | 52 | Italian | Second semester | MAT/08 |
| Operating Systems and Computer Networks | 6 | 47 | Italian | Second semester | INF/01 |
| Ottimizzazione combinatoria | 6 | 48 | Italian | Second four month period | MAT/09 |
| Point Processes and Random Sets | 6 | 47 | Italian | Second semester | MAT/06 |
| Relativity 1 | 9 | 78 | Italian | Second semester | MAT/07 |
| Ricerca operativa | 6 | 48 | Italian | Second semester | MAT/09 |
| Scientific Computing | 6 | 60 | Italian | First semester | MAT/08 |
| Stochastic Control Optimization | 6 | 47 | Italian | First semester | MAT/06 |
c3 - Gli studenti devono conseguire i crediti al raggiungimento dei 45 scegliendo insegnamenti in un qualunque settore mat/xx tra quelli che compaiono nelle tabelle 1C,2C.
c4 - ATTIVITA' AFFINI O INTEGRATIVE: 18 CREDITI
Gli studenti devono conseguire
- almeno 12 crediti scegliendo tra:
· insegnamenti in settori diversi da Mat/xx che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C;
· ulteriori insegnamenti in settori diversi da Mat/xx fuori dalle citate tabelle;
- fino a 6 crediti scegliendo tra:
· insegnamenti nei settori Mat/xx.
Tranne per la prima opzione, la scelta sarà soggetta all'approvazione del CDM.
Gli studenti devono conseguire
- almeno 12 crediti scegliendo tra:
· insegnamenti in settori diversi da Mat/xx che compaiono nelle tabelle 1A,2A,1B,2B,1C,2C;
· ulteriori insegnamenti in settori diversi da Mat/xx fuori dalle citate tabelle;
- fino a 6 crediti scegliendo tra:
· insegnamenti nei settori Mat/xx.
Tranne per la prima opzione, la scelta sarà soggetta all'approvazione del CDM.
c5 - ULTERIORI ATTIVITA' FORMATIVE: 12 CREDITI
Gli studenti possono conseguire i 12 cfu mediante uno stage/tirocinio industriale (6 cfu) o l'insegnamento di Laboratorio di modellistica matematica(6 cfu) o tramite la partecipazione alle attività della ECMI Modelling Week che si svolgerà a Lund (Svezia) nell'estate del 2026. Per ulteriori informazioni sulla Modelling Week rivolgersi alla prof.ssa Paola Causin.
In alternativa si possono conseguire tramite:
attività "Tecnologie per la finanza" (3 cfu), rivolgersi al Prof. Maggis o il "Laboratorio di Metodi e Modelli Matematici in Python"(rivolgersi al Prof. Paleari).
Gli studenti Algant possono acquisire 3 cfu in seguito a partecipazione attiva alla Algant Summer School e/o mediante TER (=Travaux d'étude et de recherche) certificato da una sede francese partner in Algant.
Al più 3 cfu si possono acquisire anche preparando un seminario, su un argomento assegnato da un docente o tramite l'attività "Tecnologie per la finanza" o il "Laboratorio di Metodi e Modelli Matematici in Python"
Gli studenti possono conseguire i 12 cfu mediante uno stage/tirocinio industriale (6 cfu) o l'insegnamento di Laboratorio di modellistica matematica(6 cfu) o tramite la partecipazione alle attività della ECMI Modelling Week che si svolgerà a Lund (Svezia) nell'estate del 2026. Per ulteriori informazioni sulla Modelling Week rivolgersi alla prof.ssa Paola Causin.
In alternativa si possono conseguire tramite:
attività "Tecnologie per la finanza" (3 cfu), rivolgersi al Prof. Maggis o il "Laboratorio di Metodi e Modelli Matematici in Python"(rivolgersi al Prof. Paleari).
Gli studenti Algant possono acquisire 3 cfu in seguito a partecipazione attiva alla Algant Summer School e/o mediante TER (=Travaux d'étude et de recherche) certificato da una sede francese partner in Algant.
Al più 3 cfu si possono acquisire anche preparando un seminario, su un argomento assegnato da un docente o tramite l'attività "Tecnologie per la finanza" o il "Laboratorio di Metodi e Modelli Matematici in Python"
| Courses or activities | Max ECTS | Total hours | Language | Lesson period | SSD |
|---|---|---|---|---|---|
| Algant Summer School | 3 | 0 | Italian | Open sessions | NN |
| Ecmi Modelling Week | 3 | 0 | Italian | Open sessions | NN |
| Financial Technologies | 3 | 20 | Italian | Open sessions | NN |
| Internship in Industry | 6 | 0 | Italian | Open sessions | NN |
| Laboratory of Mathematical Methods and Models in Python | 3 | 30 | Italian | Open sessions | NN |
| Supplementary Seminar in an Advanced Mathematics Area | 3 | 0 | Italian | Open sessions | NN |
c6 - CREDITI A LIBERA SCELTA: gli studenti devono acquisire i crediti mancanti a raggiungere il numero di 93 seguendo insegnamenti a libera scelta, scegliendo tra tutti gli insegnamenti erogati dall'Ateneo, purché coerenti con il progetto formativo e previa approvazione del Collegio Didattico. La scelta verrà sottoposta ad approvazione della Commissione di valutazione del Piano di studi presentato dallo studente.
Gli insegnamenti della laurea triennale che non sono obbligatori per tutti possono essere inseriti nel piano studi solo tra i crediti liberi.
Gli insegnamenti della laurea triennale obbligatori per tutti possono essere solo assegnati dalla commissione di ammissione.
Gli insegnamenti della laurea triennale che non sono obbligatori per tutti possono essere inseriti nel piano studi solo tra i crediti liberi.
Gli insegnamenti della laurea triennale obbligatori per tutti possono essere solo assegnati dalla commissione di ammissione.
There are no prerequisites.
Learn more
Location
Milan
Head of study programme
Academic guidance tutor
Reference structures
Contacts
- Master's Degree Organization Board
VIGNATI Marco (Presidente), ALZATI Alberto, SCACCHI Simone, MAZZA Carlo - Orientation and Internship Board
TORTORA Alfonso (Presidente), NALDI Giovanni, MICHELETTI Alessandra, MAGGIS Marco, COZZI Matteo, BRANCHETTI Laura - Secondary school teacher training activities
BRANCHETTI Laura (Presidente), ASENOVA Miglena, RIZZO Ottavio - Master's Degree Study Plan Board
PAYNE Kevin (Presidente), COLOMBO Elisabetta, PIZZOCCHERO Livio, UGOLINI Stefania - Timetables Board
LOVADINA Carlo (Presidente), ZAMPIERI Elena, ZANOTTI Pietro - Student registrar
CONTATTI, SEDI E ORARI
https://www.unimi.it/it/node/360
https://www.unimi.it/it/node/359 - Piano Lauree Scientifiche" academic tutor
CAUSIN Paola - Other Activities and Credit Award Board
SCACCHI Simone (Presidente), MOLTENI Giuseppe, TORTORA Alfonso - Degree programme administration
Milano-via Celoria20
https://informastudenti.unimi.it/saw/ess?AUTH=SAML
+390250316107 - 0250316122
9.30-11.30 su appuntamento il LUNEDì - ALGANT academic tutor
MAZZA Carlo - Disability academic tutor
SCACCHI Simone - Web pages and website academic tutors
PALEARI Simone - ECMI academic tutor
CAUSIN Paola - academic tutor
PENATI Tiziano - Master's Degree Organization Board
CALANCHI Marta (Presidente), PELOSO Marco, GHILARDI Silvio, VIGNATI Marco - Socrates-Erasmus Board
GAETA Giuseppe (Presidente), GORI Anna, MATESSI Diego, SCACCHI Simone, PAYNE Kevin - Programme Transfer and International Qualifications Recognition Board
ZAMPIERI Elena, REGGIO Luca
The tuition fees for students enrolled in Bachelor's, Master's and single-cycle degree programmes are divided into two instalments with different calculation methods and payment schedules:
- The amount of the first instalment is the same for all students
- The amount of the second instalment varies according to the ISEE University value, the degree programme and the student status (on track / off track for one year or off track for more than a year)
- An additional fee is due for online programmes
The University also offers:
- Concessions for students meeting high merit requirements
- Diversified tuition fees according to the student's home country for international students with assets/income abroad
- Concessions for international students with refugee status
Scholarships and benefits
The University provides a range of financial benefits to students meeting special requirements (merit, financial or personal conditions, international students).
Learn more
Guidance:
Admission, ranking and enrolment
Official documents
A.Y. 2025/2026
Mathematics (Classe LM-40 R )-Enrolled in A.a. 2025/2026 [FBQof1 2026]
A.Y. 2024/2025
Mathematics (Classe LM-40)-Enrolled from 2012/13 [F4Yof1 2025]
A.Y. 2023/2024
Mathematics (Classe LM-40)-Enrolled from 2012/13 [F4Yof1 2024]
A.Y. 2022/2023
Mathematics (Classe LM-40)-Enrolled from 2012/13 [F4Yof1 2023]
A.Y. 2021/2022
Mathematics (Classe LM-40)-Enrolled from 2012/13 [F4Yof1 2022]
A.Y. 2020/2021
Mathematics (Classe LM-40)-Enrolled from 2012/13 [F4Yof1 2021]