MSc in Web Intelligence Students must successfully attend the 2 compulsory courses, 6 elective courses and successfully complete their MSc thesis
Semester A
| Code | Course | Type | ECTS | Hours/Week |
|---|---|---|---|---|
| ΜΒ101 | Software Engineering for Web Applications | Compulsory | 7.5 | 3 |
| ΜΒ102 | Machine Learning | Compulsory | 7.5 | 3 |
| ΜΒ103 | Research Methodologies | Elective | 7.5 | 3 |
| ΜΒ104 | Cybersecurity of Information Systems | Elective | 7.5 | 3 |
| ΜΒ105 | Internet of Things | Elective | 7.5 | 3 |
Semester B
| Code | Course | Type | ECTS | Hours/Week |
|---|---|---|---|---|
| ΜΒ201 | Data Mining and Data Warehouses | Elective | 7.5 | 3 |
| ΜΒ202 | Large Scale Systems | Elective | 7.5 | 3 |
| ΜΒ203 | Social Networks Analysis | Elective | 7.5 | 3 |
| ΜΒ204 | Information Retrival | Elective | 7.5 | 3 |
| ΜΒ205 | Semantic Web and Knowledge Networks | Elective | 7.5 | 3 |
Semester C
| Code | Course | Type | ECTS |
|---|---|---|---|
| Μ301 | MSc Thesis | Compulsory | 30 |