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 Until 2021/2022 Academic Year
course year not available
Undefined
There are no specific sessions for these activities (e.g. open online courses).
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
Not specified period
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
Graph Theory, Discrete Mathematics and Optimization 12 80 English MAT/09 SECS-S/06
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
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
Intellectual Property for Business: Strategy and Analysis 6 40 English SECS-P/10
Labour Economics and Policy Evaluation 6 40 English SECS-P/01
Marketing Analytics 6 40 English SECS-P/08
Risk Management 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
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
Portfolio Optimization 6 40 English SECS-S/06
Public Opinion Research 6 40 English SPS/11
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 Second trimester SECS-S/06
Risk Management 6 40 English First 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 First 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
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
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
First semester
Courses or activities ECTS Total hours Language SSD
Optional
The Instruments of Gender Equality 3 24 Italian IUS/08
Second semester
Courses or activities ECTS Total hours Language SSD
Optional
Educazione alla costituzione 3 24 Italian IUS/08
Equal Opportunities and Scientific Careers 3 24 Italian SPS/09
Gender Based Violence: an Interdisciplinary Approach 3 20 Italian IUS/08
Laboratory: Sustainability and Sustainable Development 3 24 Italian AGR/01 AGR/13 IUS/01 SECS-P/01 SPS/04
Teaching Workshop: the Ancient Hospital of Milan. How to Lead A Guided Tour of An Historical Monument 3 20 Italian
First trimester
Courses or activities ECTS Total hours Language SSD
Optional
Laboratory: "nutritional Epidemiology: Methods and Practice" 3 20 English MED/01
Laboratory: Organized Crime and Research Methodology. 3 20 Italian SPS/09
Second trimester
Courses or activities ECTS Total hours Language SSD
Optional
Laboratory "cloud and Distributed Environments for Analytics in A Luxury Brand" 3 20 English INF/01 SECS-S/01
Laboratory "data Scientist for Business Communication" 3 20 Italian INF/01 SECS-S/01
Laboratory "official Statistics: Organization and Data of Italian National Institute of Statistics" 3 20 Italian SECS-S/01
Laboratory "reinforcement Learning" 3 20 English INF/01
Laboratory "retrieving Skills for Stem Job Description and Matching with Cvs" 3 20 English INF/01 SECS-S/01
Laboratory: Art, Culture and Organized Crime 3 20 Italian SPS/07
Probabilistic Modeling 6 40 English SECS-S/01
Third trimester
Courses or activities ECTS Total hours Language SSD
Optional
Laboratory "data Analytics and Digital Transformation" 3 20 English INF/01 SECS-S/01
Laboratory "data Solutions for Marketing" 3 20 English INF/01 SECS-S/01
Laboratory "data Valorization for Fintech" 3 20 English INF/01 SECS-S/01
Laboratory "hackathon: Deploy Machine Learning Models On Google Cloud Platform" 3 20 English INF/01 SECS-S/01
Laboratory "new Public Governance and Co-Production of Public Services" 3 20 Italian SECS-P/10
Laboratory "personalized Health Care" 3 20 English MED/01
Laboratory "text Data for Trading" 3 20 English INF/01 SECS-S/01
Laboratory:societies, Rights and Environmental Crime 3 20 Italian SPS/07
Laboratory:strategies for Managing Environmental Conflicts Through Participatory Mechanisms 3 20 Italian IUS/10
Workshop: Anti-Mafia Journalism 3 20 Italian SPS/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
Internship/stage 3 0 English
Optional activities and study plan rules
5 - Students must earn 12 credits for elective activities.