Professional Opportunities

Professional opportunities

Profile: Data analyst
Functions: A new professional figure who, besides possessing statisticians’ typical skills, manages large databases (Big Data). 
Management and analysis of data collected according to appropriate planning and transformation in information through models and techniques of statistical analysis and visualization, with the aim to provide support to decision processes in a variety of fields.    
Supervisor, coordinator and consultant for the resolution of problems related to data management and information in related applied disciplines.     
Interaction with experts and stakeholders. 

Skills: Graduates with the data analyst profile possess the following skills and abilities:
Management of collection and analysis of data, statistical and probabilistic modelling, IT management of data, statistical forecast, interpretation and diffusion of data. 
Interaction with experts of specific fields requiring data analysis. 

Professional opportunities: Graduates with the data analyst profile can work mainly in large public and private companies managing complex and big data, such as multinationals operating in ICT (information and communication technology), energy, search engines, market research companies, consulting firms and research institutes. 
The Masters degree allows graduates to have access to PhD programmes relating to core courses. 

Profile:  Statistical Officer    
Functions: Position in statistical departments of large governmental organizations and NGOs, providing and using official statistics. 
Methodological support in all production phases of official statistics and in the use and transformation in accessible information of collected data or data coming from a variety of sources through appropriate statistical models. 
Planning of collection and diffusion of data in order to guarantee privacy and control possible sources of error. 
Supervisor, coordinator and consultant for the resolution of problems related to data management and information in related applied disciplines.     
Interaction with experts of specific fields using official statistics (economists, sociologists and business experts). 

Skills: Graduates with the Statistical officer profile possess the following skills and abilities:
Planning, production and dissemination of official statistics, analysis of data coming from official sources, use of statistical models, IT management of data and dissemination of results. 
Management of methods to guarantee privacy and control possible sources of error in data collection. 
Interaction with experts who use official statistics (economists, sociologists, business experts, etc.).

Professional opportunities: Graduates with the Statistical officer profile can work in official statistics institutions, local bodies of the National Statistics System (SISTAN), national and international government organizations, other European and supranational organizations (FAO, World Bank, United Nations, etc.).
The degree programme prepares students to have access to PhD programmes in core disciplines. 

Profile:  Quantitative Economist    
Functions: Graduates contribute to identify business or public strategies and to assess achieved outcomes. Such role requires (a) analysis of existing and future conditions while assessing the level of future probability; (b) analysis of causality allowing to assess achieved effects subsequent to related initiatives. 
Supervisor, coordinator and consultant for the resolution of problems related to data management and information in related applied disciplines.     
Interaction with experts and stakeholders in economical and financial areas.

Skills: Graduates with the Quantitative economist profile possess the following skills:
Organization of collection, management and analysis of economical data, both from official (national and international) or private sources, and from large databases (Big Data) deriving, for instance, from recording of electronic transactions or monitoring of online activities. 
Specifying, assessing and using econometric models for structural analysis, assessment of cause and effect relationship and forecasts. 
Ability in the dissemination of results and to interact with economical and financial experts.

Professional opportunities: Graduates with the Quantitative economist profile can work in large companies, banks, funds and financial institutions, consulting firms, public administrations, central banks, watchdogs, European and supranational institutions and organizations. 
The degree programme prepares students to have access to PhD programmes in core disciplines.

Consultations with interested parties

The didactic area of which the degree programme is part (Statistical and Decisional Sciences) participates in consulting initiatives. In recent years such initiatives have been organized both by the Faculty of Information Engineering, Computer Science and Statistics of Sapienza University and by the three didactic areas of the Department of Statistical Sciences.
Consultations regarding the degree programmes of the 2016-2017 academic year    
Consultations included two main phases.
(a) Meeting with organisations of companies producing goods and services and professional associations organized by the Dean Office of the Faculty of Information Engineering, Computer Science and Statistics of Sapienza University (10 March 2016);
(b) Cesop Communication’s survey on the knowledge and perception that Italian companies have of the training offered by the Faculty of Information Engineering, Computer Science and Statistics’ degree programmes of Sapienza University.

Previous consultations, as reported in the A1.b frame of the SUA table of academic years preceding 2018-2019, have revealed a fully positive feedback regarding the degree programmes. Suggestions (including, for example, enhancing basic education and transversality, attention to soft skills) have been taken into account and, whenever possible, put into practice.
Consultations regarding the Faculty’s degree programmes for the 2018-2019 academic year.
A consultation meeting with institutions and companies, which employ graduates in the L-41, LM-82 and LM-83 classes, took place on 11 January 2018 at the Department of Statistical Sciences of Sapienza University. Consultations were related to the degree programmes offered by the Department of Statistical Sciences and, in particular, to the review of the Masters degree programmes. The degree courses were presented by the different areas’ representatives, including the deans. 
Delegates of the following organisations took part in the meeting:    
- Banco BPM (dr. F. De Notti, Operations Risks and Non Financial Department)
- Consiglio Nazionale Attuari (prof. V. Urciuoli, President’s delegate)
- Fondazione Fatebenefratelli (dr. P. Pasqualetti, Biostatistician and Scientific Director)
- Istituto di Ricerche sulla Popolazione e le Politiche Sociali – CNR (dr. C. Bonifazi, Director)
- Istituto Nazionale Previdenza Sociale (dr. C. Ferrara, Responsabile del Coordinamento Generale Statistico Attuariale)    
- Istituto per la Vigilanza sulle Assicurazioni (dr. A. De Pascalis, Capo del servizio studi e gestione dati)
- Istituto Superiore di Sanità (dr. A. Gaggioli, Statistico Reparto Farmaci Biologici e Biotecnologici)
- Medi-Pragma (dr. G. Vaccaro, Manager Ricercatore)    
- Ordine Nazionale degli Attuari (dr. F. Belliscioni, President)    
- Unicredit (dr. M. Palumbo, Market Vice President, Operational & Pillar II Risks Validation)
Delegates expressed great appreciation of the degree programmes and, in particular, for the review of the Masters degree programmes and for the collaboration between degree courses and relevant professional figures. They also offered useful suggestions to further improve the degree programmes and course. These include the opportunity to increase specific activities to acquire “soft skills” (in particular: team-work skills, ability to interact on an interdisciplinary level, skills in presenting one’s own work in different forms) and thematic workshops with the collaboration of experts in various professional fields. The growing need to acquire computer science competences has also been emphasised (including the use of statistical software), particularly when managing databases and treating Big Data.    
Having taken into account the relevant feedback, the degree programme appears thoroughly adequate and responding to the needs of stakeholders, whose suggestions are going to contribute to further improvements.