The Master of Science in “Data Science and Economics” DSE (LM-91) is a genuinely multidisciplinary programme offering a well-balanced set of courses.
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DSE Welcome Day a.y. 2021-2022 – Save the Date: October 12th h. 15.00-16.30
The event will take place in Sala Lauree Via Conservatorio, 7 and also virtually on Zoom.
It will be a great opportunity for 1st year students to learn more about the course and ask questions.
Should you need more information on this event, please send an e-mail to the DSE Secretariat: dse(at)unimi(dot)it
CRASH COURSES for ADMITTED STUDENTS a.y. 2021-2022
In order to receive the Zoom and Onedrive links and other details of the crash courses which begin on August 23, admitted students must fill out the form that was sent from the secretariat via e-mail. If you had not received the form and you want to attend the crash courses, please write an e-mail to [email protected]
14/05/2021
Kirey Group, in collaboration with the Master Degree in Data Science and Economics of the University of Milan, organizes “Gimme5 Challenge” reserved to students of the University of Milan.
Do you want to test your analytical skills? Kirey Group's “Gimme5 Challenge” is what you are looking for!
Through the challenge, you will be able to train your analytical skills, compare yourself with students and professionals and win prizes of up to 1,000 euros.
The challenge will start on May 24th and end on June 13th. You have until May 23rd to register.
Get noticed! Kirey Group is always looking for young talents to accompany in professional growth paths.
Find out more: https://www.kireygroup.com/gimme5-universita-degli-studi-di-milano/
On May 24th, from 1.30 pm to 2.30 pm, there will be a kick-off webinar, you will receive the invitation after you register.
To register, fill in the following form https://forms.gle/qgkp66KGLm15dnje9 by May 23rd, 2021.
Each participating student must fill in the form (even if participating in a team).
“Gimme5 Challenge” Kirey Group's, in collaboration with the Master Degree in Data Science and Economics of the University of Milan, organises “Gimme5 Challenge” for the student of the University of Milan. Through the challenge, you will be able to train your analytical skills, compare yourself with students and pr...
14/05/2021
Our Department is looking for a tutor in support of international students. The call was sent to all enrolled students from the DSE secretariat. Please read it carefully and apply, if interested!
Friday, 7th May 2021 h. 2.30 pm - 6.00 pm
VIRTUAL OPEN DAY of our Master’s Degree Programmes:
@2.30 - Management of innovation and entrepreneurship (MIE)
@3.00 - Data Science and Economics (DSE)
@3.30 - Finance and Economics (MEF)
@4.00 - Economics and Political Science (EPS)
ZOOM link https://zoom.us/j/97850570901
The presentation will be held in English and the event is free.
@4.30-6.00 Q&A sessions:
MIE: https://us02web.zoom.us/j/81948099475
DSE: https://us02web.zoom.us/j/81321164988
MEF: https://us02web.zoom.us/j/81835463505
EPS: https://us02web.zoom.us/j/86439913896
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The Master of Science in “Data Science and Economics” (DSE) aims to respond to the training needs of data scientist in the economic field by providing the skills necessary to analyze and understand the nature of data through modern data management techniques, machine learning, data mining and cloud computing, in order to extract meaningful relationships and recurring patterns, build predictive and nowcasting models that integrate company, market, administrative and social media data, perform analysis of policy effects (economic, social) or actions (investments, marketing campaigns) and any other activity related to the sectors of economy, marketing, business and finance.
The degree program aims to provide a solid and modern cultural background on computer science, statistics and economics, providing an integrated view of these skills in all its courses, in the belief that the integration of the foundational disciplines can develop for students a strong added value compared to the mere sum of skills acquired separately. The innovation in the teaching methods also has the ambition to develop, in students, the specific methodological attitude of the data scientist, forming professional figures capable of thinking in a new way the reality, starting from the challenges, thinking in terms of models, understanding the value of data, and learning how to evaluate the real impact of choices.
To this end, the modality of frontal transmission of skills will be integrated with laboratory activities that develop the ability to work in groups starting from real problems and using real data. Methods of work such as hackathons, problem solving, challenges among working groups, which already constitute personnel selection tools at the most important companies operating in the data sector, will be used intensively in the degree course with the training objective to develop the methodological attitude expected for the data scientist. The case studies and laboratory simulations will replace, as often as possible, the use of real data, without renouncing the complexity; these case studies will involve companies, research centers, institutions, economic and financial operators, communication agencies and marketing in the design of activities and interaction with students.
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