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Free University of Bozen-Bolzano

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PhD in

Economics and Finance

This PhD programme is jointly run by the Universities of Trento and the Free University of Bozen-Bolzano.

Course description

The programme draws on the expertise of faculty members from two universities, the University of Trento and the Free University of Bolzano providing advanced training in these areas.

This 3-year full-time PhD programme includes six months of mandatory courses as well as individualised training depending on the specific research interests and objectives of the PhD student as recommended by the supervisor. Topic-specific individual tutoring and mentoring, as well as funding for research stays abroad are special components of our programme. 

PhD students will be introduced to specific research areas of the faculty, including Economic Policy Analysis, Financial Markets and Regulation, and Quantitative Methods and Analysis of Big Data and be involved in research projects in these and other areas. Our international faculty provides a variety of research opportunities, examples are outlined in the table of research topics.

In collaboration with:

In collaboration with:

At a glance

Duration of the programme: 3 years
Courses will be taught in English
Places available: 8 with scholarship + 1 without scholarship
Scholarships awarded per year 28,000 €
Campus: Bozen-Bolzano and Trient-Trento
Stay abroad: 4 to 6 months stays at renowned research institutions

Programme structure

The PhD consists of a taught component and supervised individual research. It is designed to be completed in three years. 

In the first half of the first year, students dedicate 100% of their time to coursework and seminar attendance. 

The first semester of the programme is dedicated to common core of 172 hours of compulsory courses aimed at developing a strong background in three key areas: 

  • Quantitative and Statistical Methods (Quant)
  • Economics (Econ)
  • Finance (Fin)

For example, the Quant block will include courses such as Advanced Econometrics, Machine Learning for Econometric Applications, and Methods and applications for Empirical Economics. The Econ block will cover Economic Theory and Behavioral and Experimental Economics, while the Fin block will focus on Mathematical and Empirical Finance. 

Teaching activities combine in-person lectures and seminar attendance designed to encourage active student participation. Students will complete the hours of training mainly during the first year of the PhD programme. 

At the end of the core training phase, PhD students are expected to decide on their thesis supervisor and research topic. These sessions are coordinated by the research groups affiliated with the members of the Academic Board at their respective universities, ensuring a strong link between education and active research. 

Over the next two and a half years, students dedicate almost all their time to research while attending specific workshops, summer schools, or seminars related to their research project. They will be expected to produce three research papers, one of which can be a literature review or extension of prior research. In September of each year, students will discuss their research in progress in front of the academic board. There will also be a formal evaluation of their suitability for progressing to the next year. In February of their second and third year, there will also be an additional presentation to receive feedback on work in progress. 

Students are also required to spend at least 3 months visiting a foreign university or research centre as part of their training. 

PhD Stages

The PhD programme unfolds in three main stages: 

  1. Foundational Training (Year 1 - First Semester) 
    Students complete 172 hours of advanced coursework, building a solid foundation in quantitative methods, economics, and finance.  
  2. Research Orientation (Year 1 - Second Semester) 
    Students identify their thesis supervisor and define their research topic, guided by the Academic Board and affiliated faculty. 
  3. Independent Research and Thesis 
    In the following years, PhD candidates focus on their individual research projects, contributing original work to their field and preparing their thesis for defence. 

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Student Mobility

As an integral part of the PhD programme, students are required to spend at least 3 months abroad at a university or research institution of their choice. This international experience allows PhD candidates to broaden their academic horizons, access new research environments, and build global collaborations within their field of study. The mobility period is fully recognised as part of the programme and is designed to strengthen both the scientific quality of the doctoral research and the international profile of each student. Our faculty members collaborate with colleagues at various prestigious universities and have established with research groups and institutes, such as the IZA Institute of Labor Economics and CESifo. Our previous PhD students have visited institutions as Autonomous University of Barcelona, BI Norwegian Business School, University College London, Princeton University. 

People

PhD Programme Coordinator: Prof. Steven Stillman (photo)
Student Representative in the Lecturer's Committee: Chiara Gastaldi

Application and Admission

You can find key information to apply and gain admission to this PhD Programme in the general and specific calls published below (PDF).

In order to gain admission to the PhD programme, you will have to demonstrate competence in the languages of the PhD programme with a recognised language certificate and be successful in a public competition. 

1st Call

Publication of the call: 09/03/2026
Application deadline: by 21/04/2026  (by noon local time)
Admission interviews (online): to be defined
Publication of ranking lists: by 05/06/2026

Confirmation of the PhD position - 1st Call

Applicants with scholarship: by 18/06/2026 (by noon local time)
Applicants without scholarship: from 19/06 until 03/07/2026 (by noon local time)
Enrolment: Starting from 19/06 until 30/10/2026 (by noon local time)

1st Call

CALL GENERAL PART (PDF): ENIT DE
CALL SPECIFIC PART (PDF): ENIT  DE

For further questions contact us by phone at+39 0471 012800 or send us an e-mail: phd@unibz.it

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