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Data Science for Economics
Master programme website

Students enrolled in the academic years 2020-2021, 2021-2022 and earlier can find all the information at Data science and economics website.

Bandi DEMM per collaborazioni studentesche 2023

Si comunica che sul sito web di Ateneo sono stati pubblicati i bandi per collaborazioni studentesche da svolgersi nel 2023 per il CdL in Economia e Management (EMA) e per i CdLM in Management of Innovation and Entrepreneurship (MIE) e in Data Science for Economics (DSE).

Bando EMA - Bando MIE - Bando DSE

Welcome Day 2022: Slides available

Dear DSE Students, hereby we share the presentation of the DSE Welcome Day 2022, to keep up with the new features of the Master's Program. Do not miss it!

 

Welcome Day DSE 2022
BiblioDOC: improve your information skills!

 

Follow BiblioDOC, an e-learning course for all students of the University of Milan, especially undergraduates who are writing their theses: it will help you to better cope with the drafting of reports, papers and your final dissertation.

Welcome Day DSE 2022


DSE students, time to mark your calendars!

The 2022 DSE Welcome Day will be held on Oct 26 at 4:30 at Aula Magna in via Celoria 18.
Those who wish to join the coffee break are kindly invited to sign up here.

Check the leaflet below and do not miss this great opportunity to get to know the DSE Programme and UniMi services!

 

Welcome Day DSE 2022 - Leaflet
Crash Courses 2022

All admitted students to a.y. 22/23 are invited to attend the DSE Crash Courses. Whether you attend them or not, all admitted students are asked to take the final tests for the Mathematics, Statistics, 
Computer Science, Microeconomics and 
Macroeconomics courses as self-evaluation. Timetable and details here.

Focus on
Programme quality
Find out what it is and how to participate

Students and teachers participate in programme quality policies through regular monitoring and assessment activities based on indicators provided by the Ministry of Education (MIUR).

As Quality Assurance policies and procedures are student-centred. Inline with this the University has provided a training course divided into 4 modules for the students of the University.

Departments
Administrative Manager
Department of Economics, Management and Quantitative Methods
Via Conservatorio 7 - 20122 Milano (MI)
Web site
Associated Department
Department of Computer Science "Giovanni degli Antoni"
Via Celoria 18 - 20133 Milano (MI)
Web site