MADAS FOR THE ACADEMIA

MADAS provides students with a solid theoretical and empirical background. The curriculum provided by MADAS is largely overlapping with most of the teaching activity in the standard first year of a Ph.D. The first part of the year is devoted to lay down the theoretical basis for understanding the economic system and developing tools to model its complexity. Always in the first semester a student gains competencies in the statistics and informatics to perform advanced empirical analysis.

All the teaching activities have been conceived to enhance the competencies for a successful academic career: critical thinking around existing literature, analytical theorizing about new hypotheses, hypothesis testing, and paper drafting. With this purpose in mind all courses:

  • 1. provides a reading lists for each course consist of state of the art scientific literature;
  • 2. requires a problem solving activity by the students, which are encouraged to de eloped their own view and, usually as part of a course assessment, to develop their view and to find data to analysis to support the conclusion;
  • 3. requires take-home and hands-on group exercise to put immediately into practices new skills and competencies;
  • 4. requires the drafting of a paper;
  • 5. involves continuous interaction with teachers and tutors.

The totality  of former students willing to pursue an academic career has been successfully enrolled in a Ph.D. program and, most of them, at the University of Turin, which was in many cases their first option. The Ph.D. program in Economics (Major in Complexity and Innovation) at the University of Turin recognises part of the credits obtained during the master.

Finally, MADAS is also the hub of a national and international network of scholars and university departments with an established research track in data applications. Our aim is to provide students with good references for applying to a Ph.D in any other location.

Academic and research network in Turin

National and international academic network

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