Doctor of Philosophy in Economics

The aim of the PhD program is to prepare professional economists for research, teaching or government service careers. Coursework in the program is designed to ensure that students acquire rigorous knowledge in the core areas of economic theory and research methodology. During the research period, students will develop into independent researchers, with the ability to contribute to the analysis of fundamental economic questions facing transition and market economies.

Doctoral enrollment may continue up to a maximum of six years. Students admitted into CEU doctoral programs are eligible to receive a generous CEU Doctoral Fellowship and full tuition waiver for up to three years; the tuition waiver is provided for the whole duration of the program. Numerous additional funding opportunities exist, such as the Doctoral Research Support Grant Program, the Erasmus Mobility Scheme, and various research and travel funds.

Sample Courses for the Doctoral Program
Core courses
Advanced Macroeconomics; Advanced Microeconomics; Advanced Econometrics
Optional courses
Advanced Labor Economics; Financial Economics; Pension Systems and Reforms; International Trade; Game Theory and Applications; Network Science; Behavioral Economics

Entry Requirements for the Doctoral Program

In addition to meeting the General CEU Admissions Requirements, applicants must submit:
• a 500-word research proposal
• three letters of recommendation
• general GRE

Successful applicants usually possess an MA (or equivalent) in economics (or a related field).

Courses

Title Instructor Credit
Advanced Econometrics 1 Laszlo Matyas 4.0
Advanced Econometrics 1. Laszlo Matyas 4.0
Advanced Econometrics 2 Robert Lieli 2.0
Advanced Labor Economics John Sutherland Earle
Almos Telegdy
4.0
Advanced Labor Economics John Sutherland Earle
Almos Telegdy
2.0
Advanced Macroeconomics István Kónya
Attila Rátfai
3.0
Advanced Macroeconomics István Kónya
Attila Rátfai
3.0
Advanced Microeconometrics Andrea Weber 2.0
Advanced Microeconomics: Game Theory Adam Szeidl 2.0
Advanced Microeconomics: Game Theory Adam Szeidl 2.0
Advanced Microeconomics: Information Economics Péter Csóka
Zsolt Bihary
2.0
Advanced Microeconomics: Information Economics Botond Kőszegi 2.0
Data and Network Visualization Roberta Sinatra 2.0
Economic and Social Networks Adam Szeidl 2.0
Financial Economics Adam Zawadowski 3.0
Fundamental Ideas of Network Science János Kertész 4.0
Growth and Development István Kónya 2.0
Industrial Organization Sergey Lychagin 4.0
Industrial Organization 2 Andrzej Baniak 2.0
Intermediate Econometrics Gábor Kézdi
Robert Lieli
4.0
International Finance László Halpern 2.0
International Macro Attila Rátfai 2.0
Latex Laszlo Csirmaz 2.0
MATHEMATICAL STATISTICS Marianna Bolla 3.0
Matrix Computations with Applications Pál Hegedűs 3.0
Microeconomic Theory I. Alessandro De Chiara 5.0
Monetary Theory and Policy: Modelling and Evidence Max Gillman 2.0
Network Science László Barabási 2.0
Nonparametric Econometrics Robert Lieli 2.0
PhD Research Seminar series Alessandro De Chiara
Sergey Lychagin
0.0
PROBABILITY 1 Tóth Imre Péter 3.0
Science of Success Albert - László Barabási 2.0
Scientific Python Roberta Sinatra 3.0
Social networks Balazs Vedres 4.0
The Science of Success Albert - László Barabási 2.0
Theory of Algorithms István Miklós 3.0
Topics in Law and Economics Andrzej Baniak 2.0
Topics in Macroeconomics Tamás Briglevics
Eyno Rots
2.0
Using Big Data for Social Science Research Mihaly Fazekas 2.0