L'offerta formativa si svolge prevalentemente al primo anno da novembre a maggio.
Consiste in corsi obbligatori e opzionali organizzati su base annuale o biennale, laboratori e cicli di seminari, in alcuni casi comuni ai due curriculum. Tutti i corsi sono in inglese.
Giorni, orari e aule sono nel calendario al link CALENDARIO CORSI nella colonna destra.
I syllabus dei corsi sono nella colonna destra.
In caso di informazioni mancanti si prega di contattare i docenti.
CORSI AL PRIMO TERM
CURRICULUM DI GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE | CORSI OBBLIGATORI
Statistical Modelling | Teacher: Geraci
Number of hours: 16 | Period: Jan 2026 | Type: Ex-cathedra
The aim of this course is to examine the theory and applications of conditional modelling. The first half of the course covers the main inferential principles and methods, including likelihood, computation, and key asymptotic results, as well as the widely used family of generalized linear models. The second half addresses non- standard situations that require alternative approaches. Real data examples will be illustrated using the R language
Applied Econometrics | Teacher: Di Stefano-Mattera
Number of hours: 14 | Period: Jan-Feb 2026 | Type: Ex-cathedra
The course aims to provide a solid introductory foundation in econometrics theory both considering cross-sectional data and time series analyses. It will present conceptual and practical tools, instrumental in the field of regional and territorial analysis on one hand and economic and financial forecasting on the other hand. During the classes, we will use the R software.
CURRICULUM DI GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE | CORSI OPZIONALI
Programming with Python | Teacher: Arcagni
Number of hours: 18 | Period: Nov 2025 | Type: Ex-cathedra
Basics: Python basics, imperative and procedural programming, data structures, object oriented programming. Main packages: numpy: mathematics, scipy: numerical computation et al., pandas: data analysis. sqlite3: databases and data manipulation, declarative programming, matplotlib: basic graphical representation, seaborn: beautiful graphics. Algorithms:simulations, optimization, solving equations, numerical integration.
Public Policy Analysis (PhD DiSSE) | Teachers: d’Albergo, Moini, et al.
Number of hours: 10 | Period: Jan 2026 | Type: Ex-cathedra.
CURRICULUM DI MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA | CORSI OBBLIGATORI
Programming with Python | Teacher: Arcagni
Number of hours: 18 | Period: Nov 2025 | Type: Ex-cathedra
Basics: Python basics, imperative and procedural programming, data structures, object oriented programming. Main packages: numpy: mathematics, scipy: numerical computation et al., pandas: data analysis. sqlite3: databases and data manipulation, declarative programming, matplotlib: basic graphical representation, seaborn: beautiful graphics. Algorithms: simulations, optimization, solving equations, numerical integration.
Mathematical Finance | Teacher: Ceci
Number of hours: 18 | Period: Jan 2026 | Type: Ex-cathedra
The course aims to provide the tools of probability and continuous-time stochastic processes necessary to deal with the most used mathematical models in finance. It will focus on stochastic calculus for diffusion and jump-diffusion processes and their applications in finance. In particular, hedging and pricing of derivatives will be discussed.
Statistical Modelling | Teacher: Geraci
Number of hours: 16 | Period: Jan 2026 | Type: Ex-cathedra
The aim of this course is to examine the theory and applications of conditional modelling. The first half of the course covers the main inferential principles and methods, including likelihood, computation, and key asymptotic results, as well as the widely used family of generalized linear models. The second half addresses non-standard situations that require alternative approaches. Real data examples will be illustrated using the R language
CURRICULUM DI MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA | CORSI OPZIONALI
Mathematics | Teacher: Palestini
Number of hours: 14 | Period: Nov-Dec 2025 | Type: Ex-cathedra
Functions of several variables: Domain of the functions of 2 real variables, level curves, first order partial derivatives, stationary point and their nature, optimization problems with applications in Microeconomics. Differential equations: Ordinary differential equations, basic methods of integration, qualitative analysis on the plane. Dynamical systems: Stationary points, time elimination method, solution curves.
Applied Econometrics | Teacher: Di Stefano-Mattera
Number of hours: 14 | Period: Jan-Feb 2026 | Type: Ex-cathedra
The course aims to provide a solid introductory foundation in econometrics theory both considering cross-sectional data and time series analyses. It will present conceptual and practical tools, instrumental in the field of regional and territorial analysis on one hand and economic and financial forecasting on the other hand. During the classes, we will use the R software.
CORSI AL SECONDO TERM
CURRICULUM DI GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE | CORSI OBBLIGATORI
Publication Strategies | Teachers: Celata, Salvati, Bianchi, Filippetti
Number of hours: 6 | Period: June 2026 | Type:Seminars
The workshop aims to assist Phd candidates in defining their research and publication strategies. It will provide a map of publishers, scientific journals, peer-review and evaluation systems, and of contemporary publication practices, as well as of funding opportunities for postdocs, in the main disciplinary fields of the PhD: Economic Geography, Statistics, Finance.
Spatial Data Analysis Visualization & Mapping | Teachers: Celata, Martellozzo, Salvati, Sciabolazza
Number of hours: 22 | Period: May 2026| Type: Laboratory
Introduction to the collection, management, analysis, mapping, modelling and visualization of spatial data in a GIS environment. Participants will learn theoretically and practically what the specificities of spatial data and methods are; how to analyze geographical patterns through mapping, spatial analysis, spatial statistics, spatial regressions; how to visualize and communicate the results effectively and reflexively; and will be introduced to examples of applications in data visualization, geospatial analysis, environmental analysis, urban analysis, statistics and economics.
Qualitative Research Methods | Coord. by Di Feliciantonio
Number of hours: 20 | Period: Apr 2026 | Type: Ex-cathedra
The course aims at introducing some of the main qualitative research methods in geography and social sciences - interviews and focus groups; participant observation and ethnography - emphasizing the importance of integrating research methods. Moreover attendants will familiarize with some key-debates concerning situated knowledge, the positionality of the researcher and ethical issues raised by different research methods.
Economic Geography Seminars | Coord. by C. Di Feliciantonio & F. Celata
Number of hours: 10 | Period: Feb-Oct 2026 | Type: Seminars
Invited seminars on some of the key emerging research themes and methodologies in economic, environmental, social and urban geography, aimed to engage participants with more experienced scholars, and to introduce them to some of the most recent theoretical and methodological advancements in the field.
CURRICULUM DI GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE | CORSI OPZIONALI
Spatial Econometrics | Teacher: Martini
Number of hours: 15 | Period: May 2026 | Type: Laboratory
The aim of the course is to provide students with a comprehensive understanding of spatiality, its associated challenges, and the most commonly used models and analysis techniques in spatial econometrics. Special attention will be given to post-estimation and result interpretation.
- Evaluation Methods (PhD DiSSE) | Teachers: Cerqua et al. | Number of hours: 15 | Period: Feb-Mar 2026 | Type: Ex-cathedra.
- Advanced Evaluation Methods (PhD DiSSE) | Teacher: Cerqua et al. | Number of hours: 10 | Period: ? | Type: Ex-cathedra.
- Economics of Innovation (PhD Eco) | Teachers: Guarascio et al. | Number of hours: 10 | Period: May 2026 | CV: geostat (optional) | Type: Ex-cathedra.
- Poverty in a Dynamic World (PhD Disse/Sess) | Teachers: Montalbano et al. | Number of hours: 20 | Period: April 2026 | CV: geostat (optional) | Type: Ex-Cathedra.
OTHERS: PhD candidates can also decide, with their tutors, to attend to PhD or advanced courses organized by other universities, summer schools and similar.
CURRICULUM DI MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA | CORSI OBBLIGATORI
Publication Strategies | Teachers: Celata, Salvati, Bianchi, Filippetti
Number of hours: 3 | Period: June 2026 | Type:Seminars
The workshop aims to assist Phd candidates in defining their research and publication strategies. It will provide a map of publishers, scientific journals, peer-review and evaluation systems, and of contemporary publication practices, as well as of funding opportunities for postdocs, in the main disciplinary fields of the PhD: Economic Geography, Statistics, Finance.
Computational Tools for Finance with Python | Teacher: Martire
Number of hours: 14 | Period: Mar-Apr 2026 | Type: Laboratory
This course will cover a theoretical introduction to artificial neural networks. After the introduction of the Python language, this will be used to design neural networks to numerically solve partial differential equations and to show use in the financial option pricing framework.
Financial Risk Modeling and Forecasting Using Quantile Regression | Teachers: Foroni & Merlo
Number of hours: 12 | Period: Apr 2026 | Type: Ex-cathedra
This 12-hour course aims to offer an introductory overview of the quantile regression framework and its applications in finance and risk analysis. This course will also present the most prominent quantile-based models for forecasting and evaluating tail risk measures. A practical session is included to implement the methodologies discussed in R.
Fractional Calculus | Teacher: Frezza
Number of hours: 10 | Period: Apr-May 2026 | Type: Ex-cathedra
This course will cover both a theoretical introduction to fractional calculus and its application to finance. After the introduction of the concepts of fractional derivatives and fractional integrals, the course will be devoted to analyze the main (multi)fractional processes used in finance to model financial data.
Mathematical Finance Seminars | Coord. by S. Bianchi, C. Ceci, I. Oliva
Number of hours: 8 | Period: Feb-Oct 2026 | Type: Seminars
This seminar series consists of invited talks and mini-courses on key emerging research themes in applied mathematics for finance, economics, and insurance. The aim is to engage participants with leading and experienced scholars in the field and to introduce them to recent theoretical and methodological advances.
CURRICULUM DI MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA | CORSI OPZIONALI
Elements of Copula Theory and Modelling | Teacher: Brunero
Number of hours: 10 | Period: Apr 2026 | Type: Ex-cathedra
Statistical and probabilistic foundations of copula theory as a framework for modelling dependence. How copulas disentangle marginal behaviour from joint structure in multivariate distributions. Emphasis on key theoretical results. Classical families and modern extensions will be introduced with illustrative examples. The series aims to bridge theory and practice, with applications across statistics, finance, and science. Includes some practicals with R.
OTHERS: PhD candidates can also decide, with their tutors, to attend to PhD or advanced courses organized by other universities, summer schools and similar.