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Educational plan



These educational plans and programme descriptions refer to the A.Y. 2025/2026
Data science for economics and health (Classe LM-data)
Enrolled in 2025/26 (BBL)
Programme description (Manifesto)
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Coding for Data Science and Data Management 12 80 English First four month period INF/01 SECS-S/01
Data-Driven Economic Analysis 12 80 English Second four month period SECS-P/01 SECS-P/02 SECS-P/05
Machine Learning and Statistical Learning 12 80 English Second four month period INF/01 SECS-S/01
Statistical Theory and Mathematics 12 80 English First four month period MAT/08 SECS-S/01
Optional activities and study plan rules
1 - 1 activity among the selected path:
Dynamic Economic Modeling for "Data Science" and "Economic Data Analysis" paths
Introduction to Biostatistics and Epidemiology for "Health" path
Courses or activities Max ECTS Total hours Language Lesson period SSD
Dynamic Economic Modeling 9 60 English Third four month period SECS-P/01
Introduction to Biostatistics and Epidemiology 9 60 English Third four month period MED/01
be activated by the A.Y. 2026/2027
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Data Governance: Ethical and Legal Issues 6 40 English First four month period IUS/09 IUS/20
Privacy, Data Protection and Massive Data Analysis in Emerging Scenarios 12 80 English INF/01
Final Exam 12 0 English Undefined
Optional activities and study plan rules
2 - 3 activities among the selected path
Total 18 credits/ects
3 - DATA SCIENCE PATH
3 courses chosen from the following
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Multivariate Statistics 6 40 English First four month period SECS-S/01
Bayesian Analysis 6 40 English Second four month period SECS-S/01
Chemometrics 6 40 English Second four month period CHIM/01 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
Natural Language Processing 6 40 English Second four month period INF/01
Network Science 6 40 English First four month period INF/01
Organizations, Innovations, and Intelligent Technologies 6 40 English Second four month period SECS-P/10
Probabilistic Modeling 6 40 English Second four month period SECS-S/01
Reinforcement Learning 6 40 English Second four month period INF/01
Scientific Data Visualization 6 40 English First four month period INF/01 SECS-S/01
Time Series and Forecasting 6 40 English First four month period SECS-P/05
4 - ECONOMIC DATA ANALYSIS PATH
3 courses chosen from the following
At least 2 among "Advanced Causal Inference and Policy Evaluation", "Time Series and Forecasting", and "Environmental Data analysis and Policy".
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Causal Inference and Policy Evaluation 6 40 English First four month period SECS-P/01
Advanced Multivariate Statistics 6 40 English First four month period SECS-S/01
Applied Climate Economics 6 40 English First four month period AGR/01
Bayesian Analysis 6 40 English Second four month period SECS-S/01
Environmental Data Analysis and Policy 6 40 English Second four month period SECS-P/01
Global and Climate Change Economics 6 40 English First four month period SECS-P/01
Natural Language Processing 6 40 English Second four month period INF/01
Network Science 6 40 English First four month period INF/01
Probabilistic Modeling 6 40 English Second four month period SECS-S/01
Reinforcement Learning 6 40 English Second four month period INF/01
Scientific Data Visualization 6 40 English First four month period INF/01 SECS-S/01
Time Series and Forecasting 6 40 English First four month period SECS-P/05
5 - HEALTH PATH
3 courses chosen from the following
At least 1 among "Advanced Biostatistics and Epidemiology" and "Fundamentals of Artificial Intelligence for Data Analysis in Molecular Epidemiology".
Courses or activities Max ECTS Total hours Language Lesson period SSD
Advanced Biostatistics and Epidemiology 6 40 English First four month period MED/01
Advanced Causal Inference and Policy Evaluation 6 40 English First four month period SECS-P/01
Advanced Multivariate Statistics 6 40 English First four month period SECS-S/01
Bayesian Analysis 6 40 English Second four month period SECS-S/01
Chemometrics 6 40 English Second four month period CHIM/01 SECS-S/01
Fundamentals of Artificial Intelligence for Data Analysis in Molecular Epidemiology 6 40 English First four month period MED/01
Natural Language Processing 6 40 English Second four month period INF/01
Network Science 6 40 English First four month period INF/01
Probabilistic Modeling 6 40 English Second four month period SECS-S/01
Reinforcement Learning 6 40 English Second four month period INF/01
Scientific Data Visualization 6 40 English First four month period INF/01 SECS-S/01
Optional activities and study plan rules
6 - Elective activities.
Students must earn 9 credits by freely choosing from all the courses activated by the University, provided that they are culturally consistent with their educational path.
7 - 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://dseh.cdl.unimi.it/en/courses/laboratories).
Students with a foreign qualification must earn 3 credits as Additional Language skills: Italian (please check https://dseh.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
Transversal Skills 3 20 English Undefined
8 - 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.
Courses or activities Max ECTS Total hours Language Lesson period SSD
Internship or stage in companies, public or private bodies, professional orders 3 20 English Undefined
Training and Orientation Internship 3 20 English Undefined