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Educational goals and objectives


PhD:School of Statistical Sciences
description:The Ph.D. Programme "School of Statistical Sciences" ("Scuola di Scienze Statistiche") consists of three curriculum: (a) Demography; (b) Actuarial Sciences; (c) Methodological Statistics. Their description is provided below.

DEMOGRAPHY
The doctoral program in Demography aims to train researchers and highly professional figures for all the roles where specific skills in the study of population processes are required (universities, research institutes and study centres, public and private, both in Italy and abroad).
The training of the curriculum Demography aims at providing to doctoral students a solid knowledge of the conceptual tools and methodologies for the study of population, its dynamics and interrelationships that link demographic behaviours with the economic and social ones. Consider, for example, the study of phenomena such as foreign immigration, the process of population aging, changing family and cohabitation forms, health conditions, survival and longevity, the relationship between population and environment. These issues are all assuming an increasing importance in the contemporary world and their implications will have a decisive impact on social and economic balances in our country. Both at the micro level, the individual and the family one, and at the macro level of population, demography faces up issues that, in order to be adequately understood, need a multidisciplinary perspective combining different approaches and different tools of analysis. Economics, sociology, epidemiology, medicine, biology and anthropology, just to talk about the subjects related to demography, enter entirely into the cultural and scientific background necessary to understand causes and consequences of demographic behaviours.
The doctoral training activity is organised to enhance this multidisciplinary vision, without giving up on a solid methodological basis. At the end of the courses, doctoral students will have gained a thorough knowledge of the methodological tools of the discipline, but also of the mathematical and statistical tools that allow to develop and to manage models for the analysis, the simulation, and the forecast.

ACTUARIAL SCIENCES
The aim of the doctoral program in Actuarial science is to create a figure with highly specialized skills in Actuarial science for university teaching and research careers, and for industrial and governmental positions involving research in this area, both in Italy and abroad.
The core of the topics of interest of the curriculum is quite wide and includes Actuarial Mathematics, Life and NonLife Insurance Mathematics, Pensions Mathematics, Risk theory, Reinsurance, Solvency, Economics of Insurance, Financial Mathematics.
The curriculum is, at the moment, the only one in Italy specifically oriented towards Actuarial Sciences.
The main activities that allows doctoral students to achieve these goals are:
a) advanced courses;
b) monographic courses.
Doctoral students in this curriculum are required to attend classes in advanced general topics, such as: Stochastic processes II, Risk theory II, Advanced econometrics, Statistical methods for insurance and finance, Montecarlo methods for insurance and finance.
Students are also required to attend courses on more specific topics.
The main goal of the doctoral studies in Actuarial science is to make students able to develop original research. They are lead to deal with open and relevant research topics under the supervision of senior researchers from Sapienza University and/or other international research institutions. Results of such a research activity leads to a final doctoral Thesis.
Doctoral students are also invited to spend a period of study and research in prestigious research institution abroad. Among other prestigious research institutions, we have had (and still have) students at ETH (Zurich), Cass Business School (London), Imperial College (London), University of Lausanne, University of Waterloo, SCOR (Zurich).
During the 3-year program doctoral students are involved in the research activity of the Department.
Most of previous doctoral students are currently employed in Academia and leading research Institutions, both in Italy and abroad.

METHODOLOGICAL STATISTICS
The aim of the doctoral program in Methodological Statistics is to prepare students for university teaching and research careers, as well as for industrial and governmental positions involving research in new statistical methods, both in Italy and abroad. The program aims to create a figure with highly specialized skills in all the fields related to the "data production, dissemination and analysis" process, including: planning of surveys (observational studies) and experiments, implementation of methodologies, data analysis, presentation of results.
The three main activities that allows doctoral students to achieve these goals are:
a) advanced courses;
b) monographic courses;
c) research projects.
Doctoral students in the curriculum Methodological Statistics are required to attend classes in advanced general topics, such as:
Probability, Stochastic Processes, Decision Theory, Multivariate Statistics, Sample Surveys, Bayesian Inference, Computational Statistics, Time Series, Spatial Statistics, Data Mining, Statistical Methods for Clinical Trials.
Students are also required to attend courses on more specific topics. The main goal of the doctoral studies in Methodological Statistics is to make students able to develop original research. They are lead to deal with open and relevant research topics under the supervision of senior researchers from Sapienza University and/or other international research institutions. Results of this research activity leads to a final doctoral thesis.

Specifications of Scholarships and available positions

Overall Specifications approved for the course by the Academic Senate

Scolarships Consortia External scholarships Positions
8 0 4 15
External organizations scholarships
Dipartimento di Epidemiologia del Servizio Sanitario Regionale, regione Lazio1 Borsa su Statistica metodologica
Dipartimento di Epidemiologia del Servizio Sanitario Regionale, regione Lazio1 Borsa su Demografia
INAIL - "I determinanti sociodemografici di salute nei cambiamenti del mondo del lavoro"1 Borsa
INAIL - "Analisi dei dati di studi di carattere epidemiologico per la valutazione delle condizioni di salute della popolazione in relazione all'esposizione a fattori di tipo occupazionale, ambientale e socio-economico"1 Borsa
Note: 2 borse finanziate dal Dipartimento di Epidemiologia del Servizio Sanitario Nazionale: 1 per il curriculum STATISTICA METODOLOGICA e 1 per il curriculum DEMOGRAFIA; 2 borse finanziate dall'Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro (INAIL) per il curriculum DEMOGRAFIA - tematiche 1) "I determinanti sociodemografici di salute nei cambiamenti del mondo del lavoro"; 2) "Analisi dei dati di studi di carattere epidemiologico per la valutazione delle condizioni di salute della popolazione in relazione all'esposizione a fattori di tipo occupazionale, ambientale e socio-economico"

Admission Procedure

Qualifications assessment The evaluation of qualifications is made by the Selection Committee. Each candidate will receive a score; the maximal score per candidate is 60 (sixty) points. To gain admission to the oral test, candidates must reach a minimum score of 40/60 (forty/sixty).

Oral interview In order to pass the oral exam and be considered eligible for the competition, a minimum score of 40/60 (forty/sixty) is required.
The oral exam is composed by:
1. Discussion of the summary of the Master thesis or the research project presented (0-30 points);
2. Discussion on basic topics related to the chosen curriculum, publications and other titles and qualifications presented (0-30 points);
3. Test of foreign language.


contacts and info https://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx Email: dottorato-dss@uniroma1.it Tel.: 06 49255329 - 06 49910521
more info A grid with rating criteria is also available at PhD website:
https://phd.uniroma1.it/web/SCHOOL-OF-STATISTICAL-SCIENCES_nD3544_EN.aspx

Curriculum studiorum

Graduation date and grade of the Master's degree
detailed list of exams including completion dates and scores of Masters's degree
Graduation date and grade of the Bachelor’s degree
detailed list of exams including completion dates and scores of Bachelor's degree
History of Scholarships, Research Grants (or similar)
Certificates of Foreign Languages
Certificates of participation in post-graduate university courses
certificates of Participation in research groups
certificates of Participation in internships
Other University Awards/Degrees (e.g.: awards in competition, second degree)

Required documentation

degree thesis abstract
Candidates are invited to submit the abstract of master thesis and/or the research project.
optional
research project
Candidates are invited to submit the research project and/or the abstract of master thesis.
optional
first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 24/07/2019
second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 24/07/2019
List of publications
optional
description of previous research experience
optional
Motivation letter containing the indication of chosen curriculum (by the candidate )
mandatory
other document: Curriculum Vitae (Curriculum Vitae)
mandatory

Language Skills

the candidate must know the following languages
ENGLISH

Exam Schedule

Qualifications assessment
day29/07/2019
notesIl giorno in cui si svolge la valutazione dei titoli NON è richiesta la presenza dei candidati. (The presence of candidates is NOT required on the day of the evaluation of qualifications)
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication30/07/2019
contactsdottorato-dss@uniroma1.it

Oral interview
day01/08/2019
notesQualora il numero dei candidati lo rendesse necessario, la Commissione proseguirà le prove orali nei giorni successivi. (If necessary, the Selection Committee will continue the oral exams in the following days)
time10:00
classroomAula Regina Elena
addressViale Regina Elena 295 - Roma
publication on notice boardYes
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/SCUOLA-DI-SCIENZE-STATISTICHE_nD3544.aspx
date of publication02/08/2019
contactsdottorato-dss@uniroma1.it

Evaluation scale

file:visualizza il file
file (eng):visualizza il file (eng)

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