Doctoral programme in Econometrics and Statistics

The curriculum consists of two phases: a first phase of intensive coursework and a second phase of advanced studies and research. The course phase is designed to provide students with sufficient methodological background to write a quantitatively oriented PhD Thesis on topics related to Economics or Finance. The first phase consists of 10 core courses with corresponding exams. Each course is awarded with 3 study credits, for a total of 30 ECTS. A part of the courses is mandatory (core courses) and another part consists of electives that can be taken at USI or other universities, e.g., in the ProDoc or the NCCR FINRISK programmes, conditional on a formal prior acceptance by the PhD committee. Examples for a list of possible potential topics for the electives in the curriculum is given below.


First year: Core Courses

  1. Probability Theory and Stochastic Processes (local faculty)
  2. Statistics (invited faculty or local faculty)
  3. Econometrics (local faculty)
  4. Selected Topics in Statistics (local faculty)
  5. Time Series Analysis (local faculty)

First year: Elective Courses

  1. Topics in Quantitative Economics and Finance (invited faculty or taken abroad)
  2. Topics in Econometrics (invited faculty or taken abroad)
  3. Financial Econometrics (invited faculty or taken abroad)
  4. Optimization Methods for Economics (taken abroad)
  5. Bayesian methodology and Markov chain Monte Carlo algorithms (local faculty)

Teaching is in English. Upon admission to the second phase of the programme, doctoral students select a thesis topic and find their thesis advisor. The completion of the PhD programme requires a final defence of the PhD thesis.


For further information please contact
Prof. Paul Schneider
email  [email protected]

Admissions are currently closed. Please check this website for openings.