Data science and economics (DSE)

Ragazza con le cuffie, che studia
Laurea magistrale
A.A. 2019/2020
LM-91 - Tecniche e metodi per la societa dell'informazione
Laurea magistrale
120
Crediti
Accesso
Libero con valutazione dei requisiti di accesso
2
Anni
Sede
Milano
Lingua
Inglese

Graduates of this Master degree will receive advanced training on methodologies and IT tools, quantitative and methodological notions, to interpret and analyze economic phenomena using approaches that integrate business, market and social media data. Among these, the analysis of the effects of policies (economic, social) or the evaluation of actions (investments, marketing campaigns) and any other activity related to the sectors of economy, marketing, business and finance or social sciences.

The course of study provides for the construction of solid methodological bases through the development of topics of economic theory, decision theory under uncertainty conditions, micro-econometric techniques and analysis of time series. It also provides for the study of new data management technologies and scalability of analysis systems in cloud environments, as well as machine learning techniques for the extraction and classification of information.

Data Scientist
Its main functions are to analyze and elaborate forecasts on large data flows, identifying and applying the most appropriate software tools and statistical techniques for their elaboration; create sophisticated models for predictive data-driven analysis.

Data Driven Economist
Its main functions are to frame problems of economic analysis in the context of data science by identifying data and technologies that can provide new keys for reading or evaluating economic and social phenomena.

Data-Driven Decision
Maker The professions included in this category exercise managerial functions of high responsibility in private and public companies with an international vocation with a strong technological component within it, using data analysis to guide strategic and operational decisions.

Analyst of development projects or economic policies
The professions contribute to the formulation, monitoring and analysis of development projects or economic policies.

Marketing Analytics Manager 
The professions exercise functions of identification and supervision of decision-making processes of an operative nature in direct coordination with the company's executive management.

Occupazione dei laureati (Almalaurea)

Application and admission: Free. Applicants will be invited to an interview.

 Applicants with an Italian degree (ex. DM 270/04 or equivalent ex. DM 509/99) from one of the following classes: Ingegneria civile e ambientale (L-7), Ingegneria dell’informazione (L-8), Ingegneria industriale (L-9), Scienze dell’amministrazione e dell’organizzazione (L-16), Scienze dell’economia e della gestione aziendale (L-18), Scienze della comunicazione (L-20), Scienze e tecnologie fisiche (L-30), Scienze e tecnologie informatiche (L-31), Scienze e tecnologie per l’ambiente e la natura (L-32), Scienze economiche (L-33), Scienze matematiche (L-35), Scienze politiche e delle relazioni internazionali (L-36), Scienze sociali per la cooperazione, lo sviluppo e la pace (L-37), Statistica (L-41) provided they have acquired a certain number of credits in specific scientific-disciplinary sectors specified in the Manifesto degli Studi.

English language

In order to be enrolled to the Master degree, students who did not obtained the bachelor degree in an international course are required to certify their knowledge of the English language at the B2 level in one of the following ways, by submitting a language certificate accepted by the University of Milan and attesting a B2 or higher level of knowledge by sitting for the Placement Test run by SLAM-Servizio Linguistico di Ateneo.

One of the most effective policies adopted by European Union in the last years has been the internationalization of higher education. The various Erasmus programmes that have been implemented since the nineties have greatly increased the mobility of European students. 

Being a brand-new programme with an internationally oriented educational core strategy, DSE promotes a wide internationalization of their students, and therefore strongly encourages them to spend part of their studies abroad in Erasmus+ Programmes. 

Erasmus+ provides opportunities to study, train, gain work experience and skills. Students can go abroad from 3 up to 12 months (including a complementary traineeship period, if planned), and may receive additional grants for studying or training. At the end of their foreign stay, students get full recognition of completed activities in terms of credits for their degree. Student mobility is carried out in the framework of prior "inter-institutional agreements" between the sending and receiving institutions. 

Students can also join the traineeship programme (Placement), by going abroad from 2 up to 12 months, starting their traineeship from the first year of study. For a traineeship which is an integral part of the curriculum, the sending institution must give full academic recognition for the period spent abroad. For a traineeship that is not part of the curriculum of the student, the sending institution shall provide recognition at least by recording this period in the Diploma Supplement or, in the case of recent graduates, by providing a traineeship certificate. Traineeship may also be established with private and public companies, educational or research centers other than the hosting institution, especially in the field of finance.

DSE academic staff has strong relations with some important European universities, in particular in Germany, Belgium, France, Spain and the Netherlands, and is actively involved in research and education networks, so that students' activity abroad (including the development of the final dissertation) can be successfully supervised.

Strongly recommended

Elenco insegnamenti

Secondo semestre
Attività formative Crediti Ore totali Lingua
Obbligatorio
Machine learning, statistical learning, deep learning and artificial intelligence 12 80 Inglese
Primo trimestre
Attività formative Crediti Ore totali Lingua
Obbligatorio
Graph theory, discrete mathematics and optimization 12 80 Inglese
Micro-econometrics, causal inference and time series econometrics 12 80 Inglese
Secondo trimestre
Attività formative Crediti Ore totali Lingua
Obbligatorio
Advanced microeconomics and macroeconomics 12 80 Inglese
Coding for data science and data management 12 80 Inglese
Secondo semestre
Attività formative Crediti Ore totali Lingua
Obbligatorio
Algorithms for massive data, cloud and distributed computing 12 80 Inglese
Facoltativo
Knowledge extraction and information retrieval 6 40 Inglese
Primo trimestre
Attività formative Crediti Ore totali Lingua
Obbligatorio
Cybersecurity and privacy preservation techniques and digital security and privacy 6 40 Inglese
Facoltativo
Advanced multivariate statistics 6 40 Inglese
Digital society 6 40 Inglese
Game theory 6 40 Inglese
Global firms and markets 6 40 Inglese
Marketing analytics 6 40 Inglese
Portfolio optimization 6 40 Inglese
Social network analysis 6 40 Inglese
Secondo trimestre
Attività formative Crediti Ore totali Lingua
Facoltativo
Digital business strategies 6 40 Inglese
Fintech industry 6 40 Inglese
Intellectual property for business: strategy and analysis 6 40 Inglese
Numerical methods for finance 6 40 Inglese
Probabilistic modeling 6 40 Inglese
Public opinion research 6 40 Inglese
Risk management 6 40 Inglese
Text mining and sentiment analysis 6 40 Inglese
Terzo trimestre
Attività formative Crediti Ore totali Lingua
Facoltativo
Patients' needs and healthcare markets 6 40 Inglese
Project managements and innovation in the era of big data 6 40 Inglese
Non definito
Attività formative Crediti Ore totali Lingua
Facoltativo
Bayesian analysis 6 40 Inglese
Communication research 6 40 Inglese
Experimental methods and behavioural economics 6 40 Inglese
Human resource management via workforce analytics 6 40 Inglese
Labour economics and policy evaluation 6 40 Inglese
Open data for new business 6 40 Inglese
Quantum finance 6 40 Inglese
Sampling techniques for big data 6 40 Inglese
Scientific data visualization 6 40 Inglese
Social network analysis for business and organization 6 40 Inglese
Attività conclusive
Attività formative Crediti Ore totali Lingua
Obbligatorio
Final exam 9 0 Inglese
Regole di composizione
1 - ECONOMICS (Suggested Path)
(3 activities among the following, but not more than 2 among those marked by *)
(course not activated in 2019/2020 marked by §)
Total 18 credits/ects
Attività formative Crediti Ore totali Lingua Periodo
Knowledge extraction and information retrieval 6 40 Inglese Secondo semestre
Advanced multivariate statistics 6 40 Inglese Primo trimestre
Game theory 6 40 Inglese Primo trimestre
Global firms and markets 6 40 Inglese Primo trimestre
Portfolio optimization 6 40 Inglese Primo trimestre
Fintech industry 6 40 Inglese Secondo trimestre
Numerical methods for finance 6 40 Inglese Secondo trimestre
Probabilistic modeling 6 40 Inglese Secondo trimestre
Risk management 6 40 Inglese Secondo trimestre
Patients' needs and healthcare markets 6 40 Inglese Terzo trimestre
Bayesian analysis 6 40 Inglese Non definito
Experimental methods and behavioural economics 6 40 Inglese Non definito
Labour economics and policy evaluation 6 40 Inglese Non definito
Quantum finance 6 40 Inglese Non definito
Sampling techniques for big data 6 40 Inglese Non definito
Scientific data visualization 6 40 Inglese Non definito
2 - BUSINESS INNOVATION (Suggested Path)
(3 activities among the following)
Total 18 credits/ects
Attività formative Crediti Ore totali Lingua Periodo
Knowledge extraction and information retrieval 6 40 Inglese Secondo semestre
Advanced multivariate statistics 6 40 Inglese Primo trimestre
Marketing analytics 6 40 Inglese Primo trimestre
Digital business strategies 6 40 Inglese Secondo trimestre
Fintech industry 6 40 Inglese Secondo trimestre
Intellectual property for business: strategy and analysis 6 40 Inglese Secondo trimestre
Probabilistic modeling 6 40 Inglese Secondo trimestre
Text mining and sentiment analysis 6 40 Inglese Secondo trimestre
Project managements and innovation in the era of big data 6 40 Inglese Terzo trimestre
Human resource management via workforce analytics 6 40 Inglese Non definito
Open data for new business 6 40 Inglese Non definito
Sampling techniques for big data 6 40 Inglese Non definito
Scientific data visualization 6 40 Inglese Non definito
Social network analysis for business and organization 6 40 Inglese Non definito
3 - SOCIAL SCIENCE (Suggested Path)
(3 activities among the following)
Total 18 credits/ects
Attività formative Crediti Ore totali Lingua Periodo
Advanced multivariate statistics 6 40 Inglese Primo trimestre
Digital society 6 40 Inglese Primo trimestre
Game theory 6 40 Inglese Primo trimestre
Social network analysis 6 40 Inglese Primo trimestre
Probabilistic modeling 6 40 Inglese Secondo trimestre
Public opinion research 6 40 Inglese Secondo trimestre
Text mining and sentiment analysis 6 40 Inglese Secondo trimestre
Patients' needs and healthcare markets 6 40 Inglese Terzo trimestre
Communication research 6 40 Inglese Non definito
Labour economics and policy evaluation 6 40 Inglese Non definito
Sampling techniques for big data 6 40 Inglese Non definito
Scientific data visualization 6 40 Inglese Non definito
Social network analysis for business and organization 6 40 Inglese Non definito
Secondo trimestre
Attività formative Crediti Ore totali Lingua
Facoltativo
Laboratory "personalized health care" 3 20 Italiano
Attività conclusive
Attività formative Crediti Ore totali Lingua
Obbligatorio
Internship/stage 3 0 Inglese
Regole di composizione
4 - Students must earn 12 credits for elective activities.
Sede
Milano
Sedi didattiche
Department od Economics, Management and Quantitative Methods, Via Conservatorio 7, Milano
Department of Informatics "Giovanni degli Antoni", Via Celoria 18, Milano
Presidente del collegio: SILVIA SALINI
Contatti
Costi e agevolazioni

Le tasse universitarie per gli studenti iscritti ai corsi di laurea, di laurea magistrale e di laurea magistrale a ciclo unico sono composte da due rate con modalità di calcolo e tempi di pagamento diversi:

  • la prima rata è uguale per tutti
  • la seconda rata, detta contributo onnicomprensivo, è di importo variabile in base al tipo di corso, al reddito familiare, al merito, al corso di laurea e allo stato della carriera.
    Per conoscere l’importo della seconda rata è disponibile il simulatore online. Si possono inoltre consultare gli esempi e la modalità di calcolo

Sono previste:

Maggiori informazioni alla pagina: Tasse anno corrente

L’Ateneo fornisce inoltre una serie di agevolazioni economiche a favore dei propri studenti con requisiti particolari (merito, condizioni economiche o personali, studenti internazionali) come:

Iscriversi
Primo anno attivo:
Modalità di accesso
Libero con valutazione dei requisiti di accesso

Presentazione domanda di ammissione: 01/03/2019 al 31/07/2019
Presentazione domanda di immatricolazione: dal 05/04/2019 al 28/02/2020