Data Science for Economics and Health — Università degli Studi di Milano, Milano

Il piano degli esami

1° anno

• Coding for data science and data management — 12 CFU
• Data-driven economic analysis — 12 CFU
• Machine learning and statistical learning — 12 CFU
• Statistical theory and mathematics — 12 CFU
• 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 (a scelta): Dynamic economic modeling 9 CFU; Introduction to biostatistics and epidemiology 9 CFU

2° anno

• Cloud computing and algorithms for massive datasets — 6 CFU
• Data governance and data protection: technical and legal perspectives — 12 CFU
• Final exam — 12 CFU
• 3 activities among the selected path Total 18 credits/ects (scegli 18 CFU):
• DATA SCIENCE PATH 3 courses chosen from the following (a scelta): Advanced multivariate statistics 6 CFU; Bayesian analysis 6 CFU; Chemometrics 6 CFU; Functional and topological data analysis 6 CFU; Marketing analytics 6 CFU; Natural language processing 6 CFU; Network science 6 CFU; Organizations, innovations, and intelligent technologies 6 CFU; Probabilistic modeling 6 CFU; Reinforcement learning 6 CFU; Scientific data visualization 6 CFU; Time series and forecasting 6 CFU
• 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". (a scelta): Advanced causal inference and policy evaluation 6 CFU; Advanced multivariate statistics 6 CFU; Applied climate economics 6 CFU; Bayesian analysis 6 CFU; Environmental data analysis and policy 6 CFU; Global and climate change economics 6 CFU; Natural language processing 6 CFU; Network science 6 CFU; Probabilistic modeling 6 CFU; Reinforcement learning 6 CFU; Scientific data visualization 6 CFU; Time series and forecasting 6 CFU
• 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". (a scelta): Advanced biostatistics and epidemiology 6 CFU; Advanced causal inference and policy evaluation 6 CFU; Advanced multivariate statistics 6 CFU; Bayesian analysis 6 CFU; Chemometrics 6 CFU; Fundamentals of artificial intelligence for data analysis in molecular epidemiology 6 CFU; Natural language processing 6 CFU; Network science 6 CFU; Probabilistic modeling 6 CFU; Reinforcement learning 6 CFU; Scientific data visualization 6 CFU

In qualsiasi anno

• 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. (scegli 9 CFU):
• 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. (scegli 3 CFU): Additional language skills: italian (3 ECTS) 3 CFU; Transversal skills 3 CFU
• 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. (scegli 3 CFU): Internship or stage in companies, public or private bodies, professional orders 3 CFU; Training and orientation internship 3 CFU