Within the Master’s Degree Programme in Mathematics Engineering, it is possible, through the Twin Track programme, to obtain a second Master’s Degree in Data Science and Engineering.
The study path is structured as follows:
- 1st year: Mathematics Engineering
- 2nd year: Mathematics Engineering + Thesis
- 3rd year: Core courses of the Data Science and Engineering programme + Thesis
Below is the detailed list of courses:
First year (Mathematics Engineering)
| Course | CFU |
|---|
| Modelli Statistici / Statistica Computazionale | 12 |
| Processi stocastici / Dinamiche su network | 12 |
| Ottimizzazione e simulazione in condizioni di incertezza | 6 |
| Data science and machine learning lab | 8 |
| Numerical Optimization for large scale problems | 8 |
| Modelli di trasporto e teorie cinetiche | 10 |
| Crittografia | 6 |
| Sistemi nonlineari per l'energia | 6 |
Second year (Mathematics Engineering)
| Course | CFU |
|---|
| Computational linear algebra for large scale problems | 8 |
| Financial Engineering | 8 |
| Machine learning for Mathematical Engineering | 6 |
Modelli matematici per la biomedicina or Bioquants | 8 |
Blockchain e criptoeconomia or Model order reduction and machine learning or Business Analytics | 6 |
| Thesis | 16 |
Third year (Data Science and Engineering)
| Course | CFU |
|---|
| Distributed architectures for big data processing | 8 |
| Data management and visualization | 8 |
Efficient Computing for Artificial Intelligence or Deep natural language processing | 8 |
| Data ethics and data protection | 6 |
| Thesis | 22 |