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
First semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Graph Theory, Discrete Mathematics and Optimization 12 80 English MAT/09 SECS-S/06
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
Micro-econometrics, Causal Inference and Time Series Econometrics 12 80 English SECS-P/05 SECS-S/01
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
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
Digital Society 6 40 English SPS/07
Fintech Industry 6 40 English SECS-P/11
Game Theory 6 40 English SECS-P/01
Global Firms and Market 6 40 English SECS-P/08
Labour Economics and Policy Evaluation 6 40 English SECS-P/01
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
Compulsory
Algorithms for Massive Data, Cloud and Distributed Computing 12 80 English INF/01
Optional
Bayesian Analysis 6 40 English SECS-S/01
Digital Business Strategies 6 40 English SECS-P/07
Intellectual Property for Business: Strategy and Analysis 6 40 English SECS-P/10
Knowledge Extraction and Information Retrieval 6 40 English INF/01
Numerical Methods for Finance 6 40 English SECS-S/01
Patients' Needs and Healthcare Markets 6 40 English SECS-P/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
Project Managements and Innovation in the Era of Big Data 6 40 English SECS-P/08
Conclusive activities
There are no specific sessions for these activities (e.g. open online courses).
Courses or activities ECTS Total hours Language SSD
Compulsory
Final Exam 9 0 English
Optional activities and study plan rules
1 - 3 activities among the following.
Not more than two between: Fintech Industry, Portfolio Optimization, Risk Management.
Total 18 credits/ects
2 - ECONOMICS (Suggested Path)
Courses or activities ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English First trimester SECS-S/01
Bayesian Analysis 6 40 English Second trimester SECS-S/01
Fintech Industry 6 40 English First trimester SECS-P/11
Game Theory 6 40 English First trimester SECS-P/01
Global Firms and Market 6 40 English First trimester SECS-P/08
Knowledge Extraction and Information Retrieval 6 40 English Second trimester INF/01
Labour Economics and Policy Evaluation 6 40 English First trimester SECS-P/01
Numerical Methods for Finance 6 40 English Second trimester SECS-S/01
Patients' Needs and Healthcare Markets 6 40 English Second trimester SECS-P/01
Portfolio Optimization 6 40 English First trimester SECS-S/06
Probabilistic Modeling 6 40 English Second trimester SECS-S/01
Risk Management 6 40 English Second trimester SECS-S/06
3 - BUSINESS INNOVATION (Suggested Path)
Courses or activities ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English First trimester SECS-S/01
Digital Business Strategies 6 40 English Second trimester SECS-P/07
Fintech Industry 6 40 English First trimester SECS-P/11
Intellectual Property for Business: Strategy and Analysis 6 40 English Second trimester SECS-P/10
Knowledge Extraction and Information Retrieval 6 40 English Second trimester INF/01
Marketing Analytics 6 40 English First trimester SECS-P/08
Probabilistic Modeling 6 40 English Second trimester SECS-S/01
Project Managements and Innovation in the Era of Big Data 6 40 English Third trimester SECS-P/08
Text Mining and Sentiment Analysis 6 40 English Second trimester INF/01 SECS-S/01
4 - SOCIAL SCIENCE (Suggested Path)
Courses or activities ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English First trimester SECS-S/01
Digital Society 6 40 English First trimester SPS/07
Game Theory 6 40 English First trimester SECS-P/01
Labour Economics and Policy Evaluation 6 40 English First trimester SECS-P/01
Patients' Needs and Healthcare Markets 6 40 English Second trimester SECS-P/01
Probabilistic Modeling 6 40 English Second trimester SECS-S/01
Public Opinion Research 6 40 English Second trimester SPS/11
Social Network Analysis 6 40 English First trimester INF/01
Text Mining and Sentiment Analysis 6 40 English Second trimester INF/01 SECS-S/01
Second trimester
Courses or activities ECTS Total hours Language SSD
Optional
Nutritional Epidemiology: methods and practice 3 20 Italian MED/01
Third trimester
Courses or activities ECTS Total hours Language SSD
Optional
Laboratory "Personalized Health Care" 3 20 Italian MED/01
Computational Methods in Macroeconomics 3 20 English SECS-P/01
Conclusive activities
There are no specific sessions for these activities (e.g. open online courses).
Courses or activities ECTS Total hours Language SSD
Compulsory
Internship/Stage 3 0 English
Optional activities and study plan rules
5 - Students must earn 12 credits for elective activities.