Program structure
MSC ECONOMICS STUDY PLAN AND TRACKS COHORT 2022/2023
The program starts at the beginning of September and lasts two years. Each of the two academic years is divided into two semesters, and each semester is divided into two modules. Each module involves six weeks of teaching, with exams taking place at the end of each module.
I YEAR, I SEMESTER
- Statistics Pre-course (non-compulsory)
- Mathematics - Paolo Gibilisco - I module - 12 CFU
Part I - Linear Algebra and Probability
Part II - Calculus and Optimization - Statistics - Maura Mezzetti - I module - 6 CFU
- Econometrics - Federico Belotti - II module - 6 CFU
- Microeconomics I - Roberto Sarkisian - II module - 6 CFU
- Coding for Economic Applications - I and II modules - 6 CFU
Part I - Matlab - Antonio Parisi
Part II - Stata, Python - Federico Belotti, Gabriele Rovigatti
I YEAR, II SEMESTER
- Macroeconomics - I and II modules - 12 CFU
Advanced Macroeconomics I - Gaetano Bloise
Advanced Macroeconomics II - Andrey Alexandrov - Microeconomics II - Eloisa Campioni - I module - 6 CFU
- Elective course - I or II module - 6 CFU
II YEAR, I SEMESTER
- Public Sector Economics and Management - I module - 6 CFU
Part I - Francesco Sobbrio,
Part II - Jaime Arellano-Bover - Law and Economics - II module - 6 CFU
Part I - Paolo Buccirossi
Part II - Alberto Iozzi - Elective course - I or II module - 6 CFU
- Elective course - I or II module - 6 CFU
II YEAR, II SEMESTER
- Labour and Personnel Economics - Stefano Gagliarducci - I module - 6 CFU
- Elective course - I or II module - 6 CFU
- Elective course - I or II module - 6 CFU
- Thesis - 18 CFU
Students must take 5 elective courses, 6 credits each, for a total of 30 credits. Electives can be chosen starting from the second semester of the 1st year. The degree programme proposes the following tracks:
ECONOMICS TRACK
Students choose two:
- Advanced Topics in Time Series - II semester, II module
Part I - Gianluca Cubadda
Part II - Stefano Grassi - Big Data Analysis for Economics and Finance - Alessio Farcomeni - I semester, II module
- Microeconometrics - Federico Belotti - II semester, I module
- Structural Econometrics Modelling - Tiziano Arduini - I semester, II module
- Time Series - Alessandro Casini - II semester, II module
Students choose three:
- Curricular Internship
- Environmental Economics and Policy - Alessio D'Amato - II semester, I module
- Health Economics and Policy - Vincenzo Atella - I semester, I module
- Human Capital, Migration and Development - Furio Camillo Rosati - I semester, I module
- Industrial Organization - Emilio Calvano - I semester, II module
- International Economics - Luisa Corrado - II semester, I module
- Political Economy - Stefano Gagliarducci - II semester, I module
- Topics in Behavioural Macroeconomics - Robert Waldmann - II semester, II module
ECONOMICS AND POLICY TRACK
Students choose one:
- Advanced Topics in Time Series - II semester, II module
Part I - Gianluca Cubadda
Part II - Stefano Grassi - Big Data Analysis for Economics and Finance - Alessio Farcomeni - I semester, II module
- Microeconometrics - Federico Belotti - II semester, I module
- Structural Econometrics Modelling - Tiziano Arduini - I semester, II module
- Time Series - Alessandro Casini - II semester, II module
Students choose four:
- Curricular Internship
- Environmental Economics and Policy - Alessio D'Amato - II semester, I module
- Health Economics and Policy - Vincenzo Atella - I semester, I module
- Human Capital, Migration and Development - Furio Camillo Rosati - I semester, I module
- Industrial Organization - Emilio Calvano - I semester, II module
- International Economics - Luisa Corrado - II semester, I module
- Political Economy - Stefano Gagliarducci - II semester, I module
- Topics in Behavioural Macroeconomics - Robert Waldmann - II semester, II module
QUANTITATIVE ECONOMICS TRACK
Students choose two:
- Microeconometrics - Federico Belotti - II semester, I module
- Time Series - Alessandro Casini - II semester, II module
Students choose two:
- Advanced Topics in Time Series - II semester, II module
Part I - Gianluca Cubadda
Part II - Stefano Grassi - Big Data Analysis for Economics and Finance - Alessio Farcomeni - I semester, II module
- Structural Econometrics Modelling - Tiziano Arduini - I semester, II module
Students choose one:
- Curricular Internship
- Environmental Economics and Policy - Alessio D'Amato - II semester, I module
- Health Economics and Policy - Vincenzo Atella - I semester, I module
- Human Capital, Migration and Development - Furio Camillo Rosati - I semester, I module
- Industrial Organization - Emilio Calvano - I semester, II module
- International Economics - Luisa Corrado - II semester, I module
- Political Economy - Stefano Gagliarducci - II semester, I module
- Topics in Behavioural Macroeconomics - Robert Waldmann - II semester, II module
STUDY PLAN
Students enrolling in MSc Economics for the first time in the 2023/2024 academic year should use the form below to communicate their chosen study plan, which must be submitted by 30 November 2023 to msc_economics@economia.uniroma2.it.
Students may use the above-proposed tracks to prepare their study plan proposal. However, students may also choose from other courses offered in English, which are taught at Tor Vergata at the Master of Science level.
Please note that the study plan is subject to formal approval by the MSc Economics Academic Board. Any successive changes must also be submitted for formal approval.
CURRICULAR INTERNSHIP
You can substitute one elective course with a curricular internship, i.e. you earn the same credits: 6 credits for 150 hours of internship activity. Two possible types of internship:
- Internship Private Sector & National/International Institutions
- Research Assistant Internship
The internship may be chosen only once during the entire period of enrollment in MSc Economics and may be activated any time of the year.
EXTRA ACTIVITIES
The following activities are organized to strengthen students' academic and professional competencies over the course of their two years of studies. While we encourage students to take part in these activities, no credits will be earned for the participation.
For further information consult the FAQs