Educational plan


Data Science for Economics (Classe LM-data)-Enrolled from 2022/23 Academic Year
Second semester
Courses or activities ECTS Total hours Language SSD
Compulsory
Machine Learning and Statistical Learning 12 80 English INF/01 SECS-S/01
First trimester
Courses or activities 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 ECTS Total hours Language SSD
Compulsory
Data-Driven Economic Analysis 12 80 English SECS-P/01 SECS-P/02 SECS-P/05
Third trimester
Courses or activities ECTS Total hours Language SSD
Compulsory
Dynamic Economic Modeling 9 60 English SECS-P/01
First trimester
Courses or activities ECTS Total hours Language SSD
Compulsory
Cybersecurity and Protection of Personal Data: Legal and Policies Issues 6 40 English IUS/09 IUS/20
Optional
Advanced Multivariate Statistics 6 40 English SECS-S/01
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
Time Series and Forecasting** 6 40 English SECS-P/05
Second trimester
Courses or activities ECTS Total hours Language SSD
Compulsory
Privacy, Data Protection and Massive Data Analysis in Emerging Scenarios 12 80 English INF/01
Optional
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
Reinforcement Learning 6 40 English INF/01
Text Mining and Sentiment Analysis 6 40 English INF/01
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 12 80 English
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 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
Functional and Topological Data Analysis 6 40 English Second trimester MAT/06
Marketing Analytics* 6 40 English First trimester SECS-P/08
Network Science 6 40 English First trimester INF/01
Project Management and Innovation* 6 40 English Second trimester SECS-P/10
Reinforcement Learning 6 40 English Second trimester INF/01
Text Mining and Sentiment Analysis 6 40 English Second trimester INF/01
Time Series and Forecasting** 6 40 English First trimester 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 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
Causal Inference and Policy Evaluation** 6 40 English First trimester SECS-P/01
Experimental Methods and Behavioural Economics** 6 40 English Second trimester SECS-P/01
Text Mining and Sentiment Analysis 6 40 English Second trimester INF/01
Time Series and Forecasting** 6 40 English First trimester SECS-P/05
First trimester
Courses or activities ECTS Total hours Language SSD
Optional
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 Conducting Experiments in Economics 3 20 English SECS-P/02
Laboratory: "data Visualization Narratives" 3 20 English SECS-S/01
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 "retrieving Skills for Stem Job Description and Matching with Cvs" 3 20 English INF/01 SECS-S/01
Third trimester
Courses or activities ECTS Total hours Language SSD
Optional
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 "personalized Health Care" 3 20 English MED/01
Laboratory Data Storytelling - Data Visualization 3 20 English INF/01 SECS-S/01
Laboratory: "nutritional Epidemiology: Methods and Practice" 3 20 English MED/01
Laboratory Ml in Finance 3 20 English INF/01 SECS-S/01
Undefined
There are no specific sessions for these activities (e.g. open online courses).
Courses or activities ECTS Total hours Language SSD
Optional
Additional Language Skills: Italian (3 ECTS) 3 0 Italian
Transversal Skills 3 20 English
Conclusive activities
There are no specific sessions for these activities (e.g. open online courses).
Courses or activities ECTS Total hours Language SSD
Optional
Internship Or Stage in Companies, Public Or Private Bodies, Professional Orders 3 20 English
Training and Orientation Internships 3 20 English
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).
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 ECTS Total hours Language Lesson period SSD
Additional Language Skills: Italian (3 ECTS) 3 0 Italian Undefined
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.