Econometrics and Statistics, PhD

  • N/A
    Application Deadline
  • 36 months
    Duration
  • Tuition
  • English (take IELTS)
    Language
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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.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

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 programs, conditional on a formal prior acceptance by the PhD committee.

Detailed Programme Facts

Programme Structure

Courses Included:
  • Probability Theory and Stochastic Processes
  • Statistics
  • Econometrics
  • Selected Topics in Statistics
  • Time Series Analysis
  • Topics in Quantitative Economics and Finance
  • Topics in Econometrics
  • Financial Econometrics
  • Optimization Methods for Economics
  • Bayesian methodology and Markov chain Monte Carlo algorithms

Academic Requirements

Admission requirements:

We encourage applications from highly qualified candidates. Admission to the Ph.D. programme is competitive. Each year we receive many strong applications from around the world. Applicants are admitted based on their research interests and experience, potential for success in the programme, and compatibility with current needs of the Faculty.

The official language of the Ph.D. programme is English. Students must be able to demonstrate fluency in English prior to admission.

The Ph.D. programme is governed by regulations adopted by the Faculty.

In order to be admitted, the applicant must have completed a Master's degree in computer science, informatics, or a closely related field prior to joining the program (but not necessarily prior to applying to the programme).

Applications for admission to the Ph.D. programme are reviewed two times per year. Admission is typically for the Fall semester (commencing in September)

Tuition Fee

Funding

StudyPortals Tip: Students can search online for independent or external scholarships Students can that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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