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The Program is organized by the Department of Economics ad Statistics "Cognetti de Martiis" of University of Turin in collaboration with Metro-Polis and Corep, and builds upon a consolidated collaborative network coming from national and international research centres and institutions.The faculty of the Master’s programme is selected for its professional experience and subject knowledge. It consists of academic resource persons and IT and policy experts, coming from the University of Turin, ILO, IRD/DIAL, OECD and other leading academic institutions.
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:
The course is divided into 9 didactic modules distributed over three main subject areas.
1) IT AREA
2) ECONOMIC AREA
3) STATISTICS AREA
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.
The minimum admission requirement is an Undergraduate degree - First cycle degree - Bachelor level degree.
Essential requirements for admission are:
The selection of participants will be made by the Scientific Committee and based on the evaluation of the candidates' curriculum and motivation letter. The Scientific Committee will also carry out an on-line interview of the shortlisted candidates.
A limited number of scholarships will be available. Visit the website https://www.master-bda4pe.it/ for further information.
Stranieri:
Professione Corpo Docente:
Scopri il potere dei Big Data e della Policy Evaluation con il Master Internazionale di primo livello presso l'Università degli Studi di Torino. Una formazione unica nel suo genere che unisce dati statistici, Intelligenza Artificiale e Machine Learning per fornire strumenti avanzati nella valutazione delle politiche e nella presa di decisioni strategiche.
La nostra offerta formativa si distingue per:
Il nostro Master si prefigge di:
Il Master prevede 60 crediti CFU, suddivisi in:
Il programma didattico è distribuito in tre aree principali: IT, Economia e Statistica, coprendo temi come Data and Databases, Coding for Data Analytics, Big Data Applications for Policy Analysis, e modelli causali per il decision making.
Il Master è rivolto a:
Requisiti fondamentali includono fluency in inglese e conoscenze base di economia, statistica e informatica. Il numero massimo di partecipanti ammessi è di 26.
Il costo del Master è di €5000, esente IVA. Sono previste borse di studio per un numero limitato di candidati meritevoli.