vai al contenuto della pagina vai al menu di navigazione

Programme

The Ph.D. programme in Statistics pursues the objective of training highly qualified statisticians able to apply the most modern statistical techniques to scientific research. The Ph.D. is designed for candidates wishing to work at University level or in any organization with Research Units.

The Ph.D. Programme in Statistics develops in 3 years and training activities require:

  • attending courses with a final assessment
  • attending short courses, reading groups and internal seminars
  • participating to the Statistics seminars
  • preparing a Dissertation with original contributions in Statistics

Participation to the Statistics seminars includes meeting with the speakers and meetings aimed at building european projects and increasing the international aspects of their research.

All Ph.D. activities are consistent with the aims of the programme. During the first year, Ph.D. students follow advanced courses in the following areas

  • Mathematics
  • Probability and Stochastic processes
  • Statistics
  • Econometrics

Short courses covering different topics complete the study programme. The latter is individually tailored, although the courses and the exams of the first year are compulsory.

At the end of the fist year, and during the second and third year, the Ph.D. students concentrate on their Ph.D. thesis. The Dissertation is the most difficult and challenging experience of the Ph.D. programme. It should show the candidate's ability to develop an original and valuable research topic. It may be written in Italian or English, as a collection of papers or as a monograph, and the candidate can complete it during a visiting period in an Italian or Foreign research institution. During the third year, the candidates will complete their thesis and present reports of their progress in a series of meetings with the Faculty.

The Faculty assigns a supervisor to each candidate. Researchers from the Department of Statistics or from other Departments and research institutions can be joint supervisors.