Educational plan
These educational plans and programme descriptions refer to the A.Y. 2024/2025
Data science for economics (Classe LM-data)
Enrolled from 2022/23 academic year (B79)
Second semester
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Machine Learning and Statistical Learning | 12 | 80 | English | INF/01 SECS-S/01 |
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 |
Third trimester
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Dynamic Economic Modeling | 9 | 60 | English | SECS-P/01 |
First trimester
| 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 |
| Privacy, Data Protection and Massive Data Analysis in Emerging Scenarios | 12 | 80 | English | INF/01 |
| 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 | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| 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 | Max 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
Total 18 credits/ects
2 - DATA SCIENCE PATH
(3 courses chosen from the following, no more than 1 among those indicated with the symbol *)
(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 | 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 **)
(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 | 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 | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Laboratory: "data Visualization Narratives" | 3 | 20 | English | SECS-S/01 |
Second trimester
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| Laboratory "business & Marketing Data Driven Analysis" | 3 | 20 | English | INF/01 SECS-S/01 |
| 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 Storytelling: Effective Visualisation of Data with Different Tools" | 3 | 20 | English | INF/01 SECS-S/01 |
Third trimester
| Courses or activities | Max ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Optional | ||||
| 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: "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 |
Undefined
There are no specific sessions for these activities (e.g. open online courses).
| Courses or activities | Max 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 | Max 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). 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.
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 |
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.
- Internship or stage in companies, public or private bodies, professional orders;
- Training and orientation internship.