1. Home
  2. Courses
  3. Educational plan

Educational plan


These educational plans and programme descriptions refer to the A.Y. 2026/2027
Data science for economics and health (Classe LM-data)
Enrolled in 2026/2027 (BBL)
Programme description (Manifesto) [BBLof2_2027]
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 INFO-01/A STAT-01/A
Data-Driven Economic Analysis 12 80 English Second four month period ECON-01/A ECON-02/A ECON-05/A
Machine Learning and Statistical Learning 12 80 English Second four month period INFO-01/A STAT-01/A
Statistical Theory and Mathematics 12 80 English First four month period MATH-05/A STAT-01/A
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 ECON-01/A
Introduction to Biostatistics and Epidemiology 9 60 English Third four month period MEDS-24/A
be activated by the A.Y. 2027/2028
Compulsory
Courses or activities Max ECTS Total hours Language Lesson period SSD
Cloud Computing and Algorithms for Massive Datasets 6 40 English Second four month period INFO-01/A
Data Governance and Data Protection: Technical and Legal Perspectives 12 80 English First four month period GIUR-05/A GIUR-17/A INFO-01/A
Final Exam 12 0 English Undefined NN
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 Second four month period STAT-01/A
Bayesian Analysis 6 40 English Second four month period STAT-01/A
Chemometrics 6 40 English Second four month period CHEM-01/A STAT-01/A
Functional and Topological Data Analysis 6 40 English Second four month period MATH-03/B
Marketing Analytics 6 40 English First four month period ECON-07/A
Natural Language Processing 6 40 English First four month period INFO-01/A
Network Science 6 40 English First four month period INFO-01/A
Organizations, Innovations, and Intelligent Technologies 6 40 English Second four month period ECON-08/A
Probabilistic Modeling 6 40 English First four month period STAT-01/A
Reinforcement Learning 6 40 English Third four month period INFO-01/A
Scientific Data Visualization 6 40 English First four month period INFO-01/A STAT-01/A
Time Series and Forecasting 6 40 English First four month period ECON-02/A ECON-05/A
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 ECON-01/A
Advanced Multivariate Statistics 6 40 English Second four month period STAT-01/A
Applied Climate Economics 6 40 English First four month period AGRI-01/A
Bayesian Analysis 6 40 English Second four month period STAT-01/A
Environmental Data Analysis and Policy 6 40 English Second four month period ECON-01/A
Global and Climate Change Economics 6 40 English First four month period ECON-01/A
Natural Language Processing 6 40 English First four month period INFO-01/A
Network Science 6 40 English First four month period INFO-01/A
Probabilistic Modeling 6 40 English First four month period STAT-01/A
Reinforcement Learning 6 40 English Third four month period INFO-01/A
Scientific Data Visualization 6 40 English First four month period INFO-01/A STAT-01/A
Time Series and Forecasting 6 40 English First four month period ECON-02/A ECON-05/A
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 Second four month period MEDS-24/A
Advanced Causal Inference and Policy Evaluation 6 40 English First four month period ECON-01/A
Advanced Multivariate Statistics 6 40 English Second four month period STAT-01/A
Bayesian Analysis 6 40 English Second four month period STAT-01/A
Chemometrics 6 40 English Second four month period CHEM-01/A STAT-01/A
Fundamentals of Artificial Intelligence for Data Analysis in Molecular Epidemiology 6 40 English Second four month period MEDS-24/A
Natural Language Processing 6 40 English First four month period INFO-01/A
Network Science 6 40 English First four month period INFO-01/A
Probabilistic Modeling 6 40 English First four month period STAT-01/A
Reinforcement Learning 6 40 English Third four month period INFO-01/A
Scientific Data Visualization 6 40 English First four month period INFO-01/A STAT-01/A
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 NN
Transversal Skills 3 20 English Undefined NN
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 NN
Training and Orientation Internship 3 20 English Undefined NN
Data science for economics and health (Classe LM-data)
Enrolled in 2025/26 (BBL)
Programme description (Manifesto) [BBLof1_2027]
course year not available
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
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 NN
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 Second 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 First 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 First four month period SECS-S/01
Reinforcement Learning 6 40 English Third 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 Second 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 First four month period INF/01
Network Science 6 40 English First four month period INF/01
Probabilistic Modeling 6 40 English First four month period SECS-S/01
Reinforcement Learning 6 40 English Third 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 Second 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 Second 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 Second four month period MED/01
Natural Language Processing 6 40 English First four month period INF/01
Network Science 6 40 English First four month period INF/01
Probabilistic Modeling 6 40 English First four month period SECS-S/01
Reinforcement Learning 6 40 English Third 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 NN
Transversal Skills 3 20 English Undefined NN
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 NN
Training and Orientation Internship 3 20 English Undefined NN