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UNIVERSITY OF TURIN
FIRST LEVEL MASTER DEGREE

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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.

THE COURSE IN BRIEF

  • First Level Master Degree

  • CREDITS: 60 CFU (ECTS)

  • Keywords: Data Analytics - machine learning & artificial intelligence - strategic decision making - policy evaluation - data modelling - simulation models - Python & R

  • Language: English

  • Duration: 1 Year (12 months)

  • Assisted distance learning phase: January 2024 - March 2024

  • Face to face: April 2024 - July 2024

  • Final research project: July 2024 - December 2024

  • Large cooperative network: ILO, OECD, IRD-DIAL, LABORatorio Revelli, Marche Polytechnic University

  • Location: University of Turin, Campus Luigi Einaudi, Lungo Dora Siena 100 Torino, Italy

  • PARTICIPANTS Minimum number: 15 Maximum number: 26

 

STRUCTURE AND ORGANIZATION

Why this course

WHY THIS COURSE

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 technologies and on the data modelling opportunities offered by Machine Learning and Artificial Intelligence cutting edge tools.

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Careers

Careers

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.

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Course contents

Course contents

The Program is worth a total of 60 credits (ECTS), for a total amount of 1.500 hours, divided as follows:

  • 440 hours of on-campus lectures and distance learning
  • 1060 hours of Labs, Individual Study and Final Research Project.

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Period and Venue

Period and Venue

The Program will be held from January 2024 to December 2024 .
During the on campus phase lectures will take place at the premises of the University of Turin, Campus Luigi Einaudi, Lungo Dora Siena 100 Torino.

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Who can apply

Who can apply

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

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Tuition fee and Accomodation

Tuition fee & SCHOLARSHIPS

The tuition fee is set at € 5.000,00 to be paid in n.3 installments. A limited number of scholarships will be available, consisting of a reduction in the tuition fee.

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Application and deadlines

Application and deadlines

New edition!!

From July 12th 2023: Applications open
November 24th 2023, 3.00 pm CET: Deadline for submitting the on-line application to the Course

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Who we are

who we are

The Master in Big Data Analytics for Policy Evaluation builds on the experience and teaching staff of the MALED (Master in Applied Labour Economics for Development), a Master program jointly organized by University of Turin and ITC-ILO that prepared students and professionals to become experts in designing, analysing and evaluating policies.                                                    

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Scientific Committee & Faculty

SCIENTIFIC COMMITTEE AND FACULTY

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.

Specialist tutors will support and interact with the participants throughout the programme, both in the distance and in the on campus phase.

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Partners

Partners and Collaborations

The Program is organized by the Department of Economics and Statistics "Cognetti de Martiis" of the 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.

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