Data science and economics (DSE)

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Master programme
A.Y. 2019/2020
LM-91 - Tecniche e metodi per la societa dell'informazione (EN)
Master programme
120
ECTS
Access
Open with entry requirements examination
2
Years
Course location
Milano
Language
English

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.

Employment statistics (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

Courses list

Second semester
Courses or activities ECTS Total hours Language
Compulsory
Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence 12 80 English
First trimester
Courses or activities ECTS Total hours Language
Compulsory
Graph Theory, Discrete Mathematics and Optimization 12 80 English
Micro-econometrics, Causal Inference and Time Series Econometrics 12 80 English
Second trimester
Courses or activities ECTS Total hours Language
Compulsory
Advanced Microeconomics and Macroeconomics 12 80 English
Coding for Data Science and Data Management 12 80 English
Second semester
Courses or activities ECTS Total hours Language
Compulsory
Algorithms for Massive Data, Cloud and Distributed Computing 12 80 English
Optional
Knowledge Extraction and Information Retrieval 6 40 English
First trimester
Courses or activities ECTS Total hours Language
Compulsory
Cybersecurity and Privacy Preservation Techniques and Digital Security and Privacy 6 40 English
Optional
Advanced Multivariate Statistics 6 40 English
Digital Society 6 40 English
Game Theory 6 40 English
Global Firms and Market 6 40 English
Marketing Analytics 6 40 English
Portfolio Optimization 6 40 English
Social Network Analysis 6 40 English
Second trimester
Courses or activities ECTS Total hours Language
Optional
Digital Business Strategies 6 40 English
Fintech Industry 6 40 English
Intellectual Property for Business: Strategy and Analysis 6 40 English
Numerical Methods for Finance 6 40 English
Probabilistic Modeling 6 40 English
Public Opinion Research 6 40 English
Risk Management 6 40 English
Text Mining and Sentiment Analysis 6 40 English
Third trimester
Courses or activities ECTS Total hours Language
Optional
Patients' Needs and Healthcare Markets 6 40 English
Project Managements and Innovation in the Era of Big Data 6 40 English
Undefined
Courses or activities ECTS Total hours Language
Optional
Bayesian Analysis 6 40 English
Communication Research 6 40 English
Experimental Methods and Behavioural Economics 6 40 English
Human Resource Management Via Workforce Analytics 6 40 English
Labour Economics and Policy Evaluation 6 40 English
Open Data for New Business 6 40 English
Quantum Finance 6 40 English
Sampling Techniques for Big Data 6 40 English
Scientific Data Visualization 6 40 English
Social Network Analysis for Business and Organization 6 40 English
Conclusive activities
Courses or activities ECTS Total hours Language
Compulsory
Final Exam 9 English
Study plan rules
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
Courses or activities ECTS Total hours Language Lesson period
Knowledge Extraction and Information Retrieval 6 40 English Second semester
Advanced Multivariate Statistics 6 40 English First trimester
Game Theory 6 40 English First trimester
Global Firms and Market 6 40 English First trimester
Portfolio Optimization 6 40 English First trimester
Fintech Industry 6 40 English Second trimester
Numerical Methods for Finance 6 40 English Second trimester
Probabilistic Modeling 6 40 English Second trimester
Risk Management 6 40 English Second trimester
Patients' Needs and Healthcare Markets 6 40 English Third trimester
Bayesian Analysis 6 40 English Undefined
Experimental Methods and Behavioural Economics 6 40 English Undefined
Labour Economics and Policy Evaluation 6 40 English Undefined
Quantum Finance 6 40 English Undefined
Sampling Techniques for Big Data 6 40 English Undefined
Scientific Data Visualization 6 40 English Undefined
2 - BUSINESS INNOVATION (Suggested Path)
(3 activities among the following)
Total 18 credits/ects
Courses or activities ECTS Total hours Language Lesson period
Knowledge Extraction and Information Retrieval 6 40 English Second semester
Advanced Multivariate Statistics 6 40 English First trimester
Marketing Analytics 6 40 English First trimester
Digital Business Strategies 6 40 English Second trimester
Fintech Industry 6 40 English Second trimester
Intellectual Property for Business: Strategy and Analysis 6 40 English Second trimester
Probabilistic Modeling 6 40 English Second trimester
Text Mining and Sentiment Analysis 6 40 English Second trimester
Project Managements and Innovation in the Era of Big Data 6 40 English Third trimester
Human Resource Management Via Workforce Analytics 6 40 English Undefined
Open Data for New Business 6 40 English Undefined
Sampling Techniques for Big Data 6 40 English Undefined
Scientific Data Visualization 6 40 English Undefined
Social Network Analysis for Business and Organization 6 40 English Undefined
3 - SOCIAL SCIENCE (Suggested Path)
(3 activities among the following)
Total 18 credits/ects
Courses or activities ECTS Total hours Language Lesson period
Advanced Multivariate Statistics 6 40 English First trimester
Digital Society 6 40 English First trimester
Game Theory 6 40 English First trimester
Social Network Analysis 6 40 English First trimester
Probabilistic Modeling 6 40 English Second trimester
Public Opinion Research 6 40 English Second trimester
Text Mining and Sentiment Analysis 6 40 English Second trimester
Patients' Needs and Healthcare Markets 6 40 English Third trimester
Communication Research 6 40 English Undefined
Labour Economics and Policy Evaluation 6 40 English Undefined
Sampling Techniques for Big Data 6 40 English Undefined
Scientific Data Visualization 6 40 English Undefined
Social Network Analysis for Business and Organization 6 40 English Undefined
Second trimester
Courses or activities ECTS Total hours Language
Optional
Laboratory "Personalized Health Care" 3 20 Italian
Conclusive activities
Courses or activities ECTS Total hours Language
Compulsory
Internship/Stage 3 English
Study plan rules
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
Fees, scholarships and benefits

University fees

For students enrolled on bachelor’s, master’s and single cycle degree programmes are divided into two instalments of different amounts and with different payment deadlines:

  • the first, corresponding to the minimum amount, is the same for all students 
  • the second - technically referred to as an ‘all-inclusive fee’-  that is variable.

Students can also be entitled for tuition fee reductions such as:

More info at: Fees - current academic year

Scholarships and benefits

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:

Enrollment
First year enrolment:
Admission
Open with entry requirements examination

Application period: from 03-01-2019 to 07-31-2019
Enrolment period: from 04-05-2019 to 02-28-2020