First Level Master Degree in Big Data Analytics for Policy Evaluation

Master universitario di primo livello

Blended a Torino

5.000 € IVA inc.

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Descrizione

  • Tipologia

    Master I livello

  • Metodologia

    Blended

  • Lingue

    Inglese

  • Luogo

    Torino

  • Ore di lezione

    1500h

  • Durata

    12 Mesi

  • Crediti

    60

Institutions and organizations are increasingly searching for professionals skilled in policy evaluation and strategic decision making. This Master aims to satisfy this growing demand leveraging on Big Data Analytics cutting edge tools paired with econometric methodologies for causal inference.

The Program builds upon a consolidated international network, with a Faculty of academic, professionals and policy experts coming from leading Italian and international research centres and institutions.

The Master offers a blended teaching format, which includes a fully structured, on-line assisted learning phase and an on-campus phase. It combines a theoretical presentation of the topics with laboratory activities where students will acquire the necessary programming skills using the latest open source statistical and data management softwares.

Sedi e date

Luogo

Inizio del corso

Torino
Visualizza mappa
Lungo Dora Siena 100, 10153

Inizio del corso

Consultare

Profilo del corso

The Master aims to satisfy this growing demand focusing on the most modern Big Data technologies 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.
Combining the theoretical presentation with laboratory activities students will also acquire the necessary programming skills with the main open source statistical and data management softwares.

Students will be able to apply for a visiting period at one of the Institutions within the collaborative network of the Master. Allocation of students to the available visiting positions is responsibility of the scientific committee, according to host institutions' posted places, topics and students’ abilities.

The Master is intended for: recent university graduates who seek a career focused on data science applications for strategic management, policy evaluation and consulting; young professionals in businesses, research institutions, public and private institutions and organizations looking for a boost in their data analysis skills.
The minimum admission requirement is an Undergraduate degree - First cycle degree - Bachelor level degree.

Essential requirements for admission are: fluency in written and spoken English, bachelor level knowledge of economics and statistics, and basic computer skills.

Upon successful completion of the these requirements participants will be awarded a first level Specializing Master's Diploma in "Big Data Analytics for Policy Evaluation" from the University of Turin (see the scheme of the Italian Education System).

First level continuing education degrees do not give admission to PhD or Specialization Schools.

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Usuario Emagister, Più di due anni

Rispondere

Risposta di Usuario Emagister (Più di due anni)

Ciao! Il Master è rivolto a laureati/e del vecchio ordinamento e di I e II livello in Medicina e Chirurgia, in Logopedia.

Opinioni

Materie

  • Big Data
  • Artificial intelligence
  • Data Analytics
  • Machine Learning
  • Policy evaluation
  • Data modelling
  • Simulation models
  • Python

Professori

Docenti Universitari ed esperti settore

Docenti Universitari ed esperti settore

del master

Programma

During the course students will learn to:
-Analyze economic data using traditional econometric models and ML/AI tools-Evaluate public policies and corporate strategies-Develop simulation models for ex-ante evaluations of the effect of interventions on economic systems-Provide expert advice to policy makers relying on a solid understanding of both institutional and political contexts-Provide private businesses' management with quantitative evidence to support strategic decisions-Combining the theoretical presentation with laboratory activities students will also acquire the necessary programming skills with the main open source statistical and data management softwares.
Students will be able to apply for a visiting period at one of the Institutions within the collaborative network of the Master. Allocation of students to the available visiting positions is responsibility of the scientific committee, according to host institutions' posted places, topics and students’ abilities.
The blended teaching format includes a fully structured, on-line assisted preliminary learning phase, an on-campus phase with both lectures and laboratory activities, a supervised project work activity. Students will be able to apply for a visiting periods at one of the Institutions within the collaborative network of the Master to deliver their project work. Allocation of students to the available positions is responsibility of the scientific committee, according to host institutions' posted places, topics and students’ abilities.

Ulteriori informazioni

APPLICATIONS DEADLINE: November 24th, 2023, 3:00 PM CET

Chiama il centro

Hai bisogno di un coach per la formazione?

Ti aiuterà a confrontare vari corsi e trovare l'offerta formativa più conveniente.

First Level Master Degree in Big Data Analytics for Policy Evaluation

5.000 € IVA inc.