Computational Statistics with R

A.Y. 2020/2021
Course offered to students on the PhD programme in
Overall hours
Lesson period
October 2020
This course aims at teaching students some classical computational statistics techniques to be used in advanced economic and financial research. Students will be introduced to the topics presented during the course through the use of the R and Python programming language and will learn how to perform Monte Carlo algorithms, focusing particularly on resampling methods and basic MCMC methods. Examples of applications of computational statistics methods in economics and finance will be presented and discussed.
Knowledge of Statistics and Mathematical analysis.
For second year students - Mandatory for Economics PhD students.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol


The course enrolment deadline is usually the 25th day of the month prior to the start date. More specifically:

  • for courses starting in September 2021, until 30 August 2021.

Deadlines for enrolment in courses of the next academic year (2021/2022) will be announced.

How to enrol

  1. Access enrolment on PhD courses online service using your University login details
  2. Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)

Ignore the option "Exam session date” that appears during the enrolment procedure.


For help please contact

Wednesday 2.30PM-5.30PM (appointment suggested, via Teams).
Room 37, 3rd Floor (due to sanitary emergency office hours in person are suspended - Office hours will be held via Teams)