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Educational plan


These educational plans and programme descriptions refer to the A.Y. 2025/2026
Data science for economics (Classe LM-data)
Enrolled from 2022/23 until 2024/25 academic year (B79)
Programme description (Manifesto) [B79of1_2026]
course year not available
First trimester
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Coding for Data Science and Data Management 12 80 English INF/01 SECS-S/01
Statistical Theory and Mathematics 12 80 English MAT/08 SECS-S/01
Second trimester
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Data-Driven Economic Analysis 12 80 English SECS-P/01 SECS-P/02 SECS-P/05
Machine Learning and Statistical Learning 12 80 English INF/01 SECS-S/01
Third trimester
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Dynamic Economic Modeling 9 60 English SECS-P/01
First four month period
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Cybersecurity and Protection of Personal Data: Legal and Policies Issues 6 40 English IUS/09 IUS/20
Optional
Causal Inference and Policy Evaluation** 6 40 English SECS-P/01
Marketing Analytics* 6 40 English SECS-P/08
Network Science 6 40 English INF/01
Text Mining and Sentiment Analysis 6 40 English INF/01
Time Series and Forecasting** 6 40 English SECS-P/05
Second four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Advanced Multivariate Statistics 6 40 English SECS-S/01
Bayesian Analysis 6 40 English SECS-S/01
Experimental Methods and Behavioural Economics** 6 40 English SECS-P/01
Functional and Topological Data Analysis 6 40 English MAT/06
Project Management and Innovation* 6 40 English SECS-P/10
Third four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Reinforcement Learning 6 40 English INF/01
Not specified period
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Privacy, Data Protection and Massive Data Analysis in Emerging Scenarios 12 80 English INF/01
Conclusive activities
There are no specific sessions for these activities.
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Final Exam 12 80 English NN
Optional activities and study plan rules
1 - 3 activities among the selected path
Total 18 credits/ects
2 - DATA SCIENCE PATH
(3 courses chosen from the following, no more than 1 among those indicated with the symbol *)
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English Second four month period SECS-S/01
Bayesian Analysis 6 40 English Second four month period SECS-S/01
Functional and Topological Data Analysis 6 40 English Second four month period MAT/06
Marketing Analytics* 6 40 English First four month period SECS-P/08
Network Science 6 40 English First four month period INF/01
Project Management and Innovation* 6 40 English Second four month period SECS-P/10
Reinforcement Learning 6 40 English Third four month period INF/01
Text Mining and Sentiment Analysis 6 40 English First four month period INF/01
Time Series and Forecasting** 6 40 English First four month period SECS-P/05
3 - ECONOMIC DATA ANALYSIS PATH
(3 courses chosen from the following, at least 2 of those indicated with the symbol **)
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English Second four month period SECS-S/01
Bayesian Analysis 6 40 English Second four month period SECS-S/01
Causal Inference and Policy Evaluation** 6 40 English First four month period SECS-P/01
Experimental Methods and Behavioural Economics** 6 40 English Second four month period SECS-P/01
Text Mining and Sentiment Analysis 6 40 English First four month period INF/01
Time Series and Forecasting** 6 40 English First four month period SECS-P/05
First four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Laboratory "data Scientist for Business Communication" 3 20 English INF/01 SECS-S/01
Laboratory "official Statistics: Organization and Data of Italian National Institute of Statistics" 3 20 English SECS-S/01
Laboratory: "data Visualization Narratives" 3 20 English SECS-S/01
Second four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Laboratory "employee Monitoring and Recruitment" 3 20 English SECS-S/01
Laboratory "hackathon: Deploy Machine Learning Models On Google Cloud Platform" 3 20 English INF/01 NN SECS-S/01
Laboratory "llm & Business Intelligence" 3 20 English INF/01
Laboratory "personalized Health Care" 3 20 English MED/01
Laboratory: "data Storytelling: Effective Visualisation of Data with Different Tools" 3 20 English INF/01 SECS-S/01
Laboratory: "drive Digital Transformation with Data Analytics" 3 20 English INF/01 SECS-S/01
Laboratory: "nutritional Epidemiology: Methods and Practice" 3 20 English MED/01
Third four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Laboratory "payment Analytics in Open Banking" 3 20 English SECS-S/01
Third trimester
Courses or activities Max ECTS Total hours Language SSD
Optional
Laboratory: "economics of Big Science" 3 20 English SECS-P/01
Undefined
There are no specific sessions for these activities.
Courses or activities Max ECTS Total hours Language SSD
Optional
Additional Language Skills: Italian (3 ECTS) 3 0 Italian NN
Transversal Skills 3 20 English NN
Conclusive activities
There are no specific sessions for these activities.
Courses or activities Max ECTS Total hours Language SSD
Optional
Internship Or Stage in Companies, Public Or Private Bodies, Professional Orders 3 20 English NN
Training and Orientation Internships 3 20 English NN
Optional activities and study plan rules
4 - Students must earn 9 credits for elective activities (courses/laboratories).
5 - Students with Italian qualification must earn 3 credits as Transversal Skills (please check https://www.unimi.it/en/study/bachelor-and-master-study/following-your-programme-study/soft-skills). As alternative, students can select a laboratory ascribed as Transversal Skill as well (please check https://dse.cdl.unimi.it/en/courses/laboratories).
Students with a foreign qualification must earn 3 credits as Additional Language skills: Italian (please check https://dse.cdl.unimi.it/en/courses/italian-language-foreigners-tests-and-courses), instead of Transversal Skills.
Courses or activities Max ECTS Total hours Language Lesson period SSD
Additional Language Skills: Italian (3 ECTS) 3 0 Italian Undefined NN
6 - Students must earn 3 credits by selecting one of the following alternatives:
- Internship or stage in companies, public or private bodies, professional orders;
- Training and orientation internship.