Institutions and organizations are increasingly searching for professional profiles skilled in concepts and methods for policy evaluation and strategic decision making. The Master aims to satisfy this growing demand focusing on the most modern Big Data methodologies and on the data modelling opportunities offered by Machine Learning and Artificial Intelligence cutting edge tools.
These new data science tools, paired with more traditional statistical methodologies, offer a unique perspective to support decision making in the context of public policy evaluation but also attentive to highest-level strategic decisions in the corporate field.
The aim is to train professionals capable of carrying out advanced data analysis and policy evaluation functions, mastering the main methodologies for predictive- and causal analysis, for complex systems modelling, and for the monitoring of economic systems and markets through indicators derived from statistical surveys and Big Data sources.
Working with big data requires a highly interdisciplinary and professional set of competencies. All these skills will be developed through a mix of learning modes: lectures, seminars, laboratories and group project work. The training path is characterized by a strong applied component and pushes students towards a hands-on approach.
In addition, the Master has a strong international faculty that contributes to the personal and professional growth of students, the sharing of ideas and the development of an international network
Institutions and organizations are increasingly searching for professional profiles skilled in concepts and methods for policy evaluation and strategic decision making. This Master aims to satisfy this growing demand focusing on the most modern Big Data methodologies and on the data modelling opportunities offered by Machine Learning and Artificial Intelligence cutting edge tools.
These new data science tools, paired with more traditional statistical methodologies, offer a unique perspective to support decision making in the context of public policy evaluation but also attentive to highest-level strategic decisions in the corporate field.
The aim is to train professionals capable of carrying out advanced data analysis and policy evaluation functions, mastering the main methodologies for predictive- and causal analysis, for complex systems modelling, and for the monitoring of economic systems and markets through indicators derived from statistical surveys and Big Data sources.
The course working language is English.
The Course is worth a total of 60 credits (CFU - Crediti Formativi Universitari), for a total amount of 1.500 hours, divided as follows:
- 440 hours of on-campus lectures and distance learning
- 1.060 hours of Labs, Individual Study and Final Research Project.
The academic curriculum of the Master program is divided into three phases: assisted distance learning phase, on campus phase and distance individual study and project preparation.
Academic Schedule:
- Assisted distance learning phase: January 2024 - March 2024. This introductory phase is based on the acquisition of basic knowledge and competences through activities carried out by students autonomously rather than lectures. Some online meeting with teachers could be planned.
- On campus phase: April 2024 – July 2024. In this period, attendance is mandatory and implies full time engagement from Monday to Friday (9.00-18.00 CET).
- Distance individual study and project preparation: July 2024 - December 2024.
The course is divided into 9 didactic modules distributed over three main subject areas.
1) IT AREA
- Data and Databases
- Coding for data analytics
2) ECONOMIC AREA
- Economics and Institutions
- Big Data Applications for Policy Analysis
- Simulation models
- Specialized tracks
3) STATISTICS AREA
- Foundation of statistics
- Data Modelling
- Causal models for decision making
The course attendance is mandatory and, the campus phase implies full time engagement from Monday to Friday (9.30-18.00 CET).
A Bachelor level degree and a good knowledge of English is required.
A maximum number of 26 participants is foreseen
International Master. The faculty of the Master’s programme is selected for its professional experience and subject knowledge. It consists of academic resource persons, IT and policy experts coming from the University of Turin, ILO, IRD/DIAL, OECD and other leading institutions.The course working language is English.
- Aula internazionale
- Docenti internazionali
- Lezioni in lingua straniera 100%
