Educational plan

The Master degree in Data Science and Economics is a genuinely multidisciplinary programme, offering a well-balanced set of courses in data science and economics supported by several other courses. Students must acquire 120 ECTS to complete the programme; among them, 24 credits are devoted to additional educational and research activities, for example dissertation writing, research seminars and elective courses.

First year courses area mandatory for all students
At the end of the first year, students have to choose among one of the three suggested paths:

  • Economics
  • Business Innovation
  • Social Science.
DATA SCIENCE AND ECONOMICS - (Classe LM-91)-Enrolled from 2018/2019 academic year
Second semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence 12 80 English INF/01 SECS-S/01
First trimester
Courses or activities ECTS Total hours Language SSD
Compulsory
Graph Theory, Discrete Mathematics and Optimization 12 80 English MAT/09 SECS-S/06
Second trimester
Courses or activities ECTS Total hours Language SSD
Compulsory
Advanced Microeconomics and Macroeconomics 12 80 English SECS-P/01
Coding for Data Science and Data Management 12 80 English INF/01 SECS-S/01
Micro-econometrics, Causal Inference and Time Series Econometrics 12 80 English SECS-P/05 SECS-S/01
Second semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Algorithms for Massive Data, Cloud and Distributed Computing 12 80 English INF/01
Optional
Knowledge Extraction and Information Retrieval 6 40 English INF/01
First trimester
Courses or activities ECTS Total hours Language SSD
Compulsory
Cybersecurity and Privacy Preservation Techniques and Digital Security and Privacy 6 40 English IUS/01 IUS/09 IUS/14
Optional
Advanced Multivariate Statistics 6 40 English SECS-S/01
Game Theory 6 40 English SECS-P/01
Global Firms and Market 6 40 English SECS-P/08
Marketing Analytics 6 40 English SECS-P/08
Portfolio Optimization 6 40 English SECS-S/06
Social Network Analysis 6 40 English INF/01
Second trimester
Courses or activities ECTS Total hours Language SSD
Optional
Digital Business Strategies 6 40 English SECS-P/07
Digital Society 6 40 English SPS/07
Fintech Industry 6 40 English SECS-P/11
Intellectual Property for Business: Strategy and Analysis 6 40 English SECS-P/10
Numerical Methods for Finance 6 40 English SECS-S/01
Probabilistic Modeling 6 40 English SECS-S/01
Public Opinion Research 6 40 English SPS/11
Risk Management 6 40 English SECS-S/06
Text Mining and Sentiment Analysis 6 40 English INF/01 SECS-S/01
Third trimester
Courses or activities ECTS Total hours Language SSD
Optional
Patients' Needs and Healthcare Markets 6 40 English SECS-P/01
Project Managements and Innovation in the Era of Big Data 6 40 English SECS-P/08
Undefined
Courses or activities ECTS Total hours Language SSD
Optional
Bayesian Analysis 6 40 English SECS-S/01
Communication Research 6 40 English SPS/07
Experimental Methods and Behavioural Economics 6 40 English SECS-P/02
Human Resource Management Via Workforce Analytics 6 40 English SECS-P/10
Labour Economics and Policy Evaluation 6 40 English SECS-P/03
Open Data for New Business 6 40 English SECS-P/08
Quantum Finance 6 40 English SECS-S/06
Sampling Techniques for Big Data 6 40 English SECS-S/01
Scientific Data Visualization 6 40 English INF/01
Social Network Analysis for Business and Organization 6 40 English SECS-P/08
Conclusive activities
Courses or activities ECTS Total hours Language SSD
Compulsory
Final Exam 9 0 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 SSD
Knowledge Extraction and Information Retrieval 6 40 English Second semester INF/01
Advanced Multivariate Statistics 6 40 English First trimester SECS-S/01
Game Theory 6 40 English First trimester SECS-P/01
Global Firms and Market 6 40 English First trimester SECS-P/08
Portfolio Optimization 6 40 English First trimester SECS-S/06
Fintech Industry 6 40 English Second trimester SECS-P/11
Numerical Methods for Finance 6 40 English Second trimester SECS-S/01
Probabilistic Modeling 6 40 English Second trimester SECS-S/01
Risk Management 6 40 English Second trimester SECS-S/06
Patients' Needs and Healthcare Markets 6 40 English Third trimester SECS-P/01
Bayesian Analysis 6 40 English Undefined SECS-S/01
Experimental Methods and Behavioural Economics 6 40 English Undefined SECS-P/02
Labour Economics and Policy Evaluation 6 40 English Undefined SECS-P/03
Quantum Finance 6 40 English Undefined SECS-S/06
Sampling Techniques for Big Data 6 40 English Undefined SECS-S/01
Scientific Data Visualization 6 40 English Undefined INF/01
2 - BUSINESS INNOVATION (Suggested Path)
(3 activities among the following)
Total 18 credits/ects
Courses or activities ECTS Total hours Language Lesson period SSD
Knowledge Extraction and Information Retrieval 6 40 English Second semester INF/01
Advanced Multivariate Statistics 6 40 English First trimester SECS-S/01
Marketing Analytics 6 40 English First trimester SECS-P/08
Digital Business Strategies 6 40 English Second trimester SECS-P/07
Fintech Industry 6 40 English Second trimester SECS-P/11
Intellectual Property for Business: Strategy and Analysis 6 40 English Second trimester SECS-P/10
Probabilistic Modeling 6 40 English Second trimester SECS-S/01
Text Mining and Sentiment Analysis 6 40 English Second trimester INF/01 SECS-S/01
Project Managements and Innovation in the Era of Big Data 6 40 English Third trimester SECS-P/08
Human Resource Management Via Workforce Analytics 6 40 English Undefined SECS-P/10
Open Data for New Business 6 40 English Undefined SECS-P/08
Sampling Techniques for Big Data 6 40 English Undefined SECS-S/01
Scientific Data Visualization 6 40 English Undefined INF/01
Social Network Analysis for Business and Organization 6 40 English Undefined SECS-P/08
3 - SOCIAL SCIENCE (Suggested Path)
(3 activities among the following)
Total 18 credits/ects
Courses or activities ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English First trimester SECS-S/01
Game Theory 6 40 English First trimester SECS-P/01
Social Network Analysis 6 40 English First trimester INF/01
Digital Society 6 40 English Second trimester SPS/07
Probabilistic Modeling 6 40 English Second trimester SECS-S/01
Public Opinion Research 6 40 English Second trimester SPS/11
Text Mining and Sentiment Analysis 6 40 English Second trimester INF/01 SECS-S/01
Patients' Needs and Healthcare Markets 6 40 English Third trimester SECS-P/01
Communication Research 6 40 English Undefined SPS/07
Labour Economics and Policy Evaluation 6 40 English Undefined SECS-P/03
Sampling Techniques for Big Data 6 40 English Undefined SECS-S/01
Scientific Data Visualization 6 40 English Undefined INF/01
Social Network Analysis for Business and Organization 6 40 English Undefined SECS-P/08
Third trimester
Courses or activities ECTS Total hours Language SSD
Optional
Laboratory "Personalized Health Care" 3 20 Italian MED/01
Conclusive activities
Courses or activities ECTS Total hours Language SSD
Compulsory
Internship/Stage 3 0 English
Study plan rules
4 - Students must earn 12 credits for elective activities.