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## Years 2019 - 2021
### 1° year - 2019/2020
- __1° trimester - 18 CFU/ECTS__
- *Graph Theory, Discrete Mathematics and Optimization* (total 12 CFU/ECTS):
- [Discrete Mathematics](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Discrete%20Mathematics)- Module (3 CFU/ECTS)
- [Graph Theory](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Graph%20Theory)- Module (3 CFU/ECTS)
- [Optimization](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Optimization) - Module (6 CFU/ECTS)
- *Micro-econometrics, casual inference and Time series econometric*:
- [Time series](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Time%20series) - Module (6 CFU/ECTS)
- __2° trimester - 18 CFU/ECTS__
- *Advanced Microeconomics and Macroeconomics* (total 12 CFU/ECTS):
- [Advanced microeconomics](https://github.com/Andreaierardi/Appunti-Magistrale-DataScience/tree/master/1year/2trimester/Advanced%20Microeconomics/Notes) - Module (6 CFU/ECTS)
- *Micro-econometrics, casual inference and Time series econometric*:
- [Micro-econometrics, Causal Inference](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/2trimester/Micro-econometrics%2C%20Causal%20Inference) - Module (6 CFU/ECTS)
- *Coding for Data Science and Data Management* (total 12 CFU/ECTS)
- [Coding for Data Science - R language ](https://github.com/Andreaierardi/MilanPollution) - Module (3 CFU/ECTS)
- [Coding for Data Science - Python language](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/2trimester/Coding%20for%20Data%20Science%20-%20Python%20language/Python) - Module (3 CFU/ECTS)
- __3° trimester - 24 CFU/ECTS__
- *Advanced Microeconomics and Macroeconomics* (total 12 CFU/ECTS):
- [Advanced Macroeconomics](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS)
- *Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence* (total 12 CFU/ECTS):
- [Machine Learning]() - Module (6 CFU/ECTS)
- [Statistical Learning, Deep Learning and Artificial Intelligence](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ETCS)
- *Coding for Data Science and Data Management*
- [Data Management](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ETCS)
- __Seminar/Laboratories - 3 CFU/ECTS__
- *Short Course Data Science with Prof. Kenett* (total 3 CFU/ECTS)
- [Short Course](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/Seminars/Short%20Course%20Data%20Science%20Prof.%20Kenett)
### 2° Year - 2020/2021 - __1° trimester 12 CFU/ECTS__ - *Cybersecurity and Privacy Preservation Techniques and Digital Security and Privacy* (total 12 CFU/ECTS): - [Cybersecurity and Privacy Preservation Techniques](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) - [Digital Security and Privacy](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) - __2° trimester 12 CFU/ECTS__ - *Algorithms for Massive Data, Cloud and Distributed Computing* (total 12 CFU/ECTS): - [Algorithms for Massive Data](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) - [Cloud and Distributed Computing](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) - __3° trimester - 0 CFU/ECTS__