Courses calendar and details
Before enrolling in a course, it is recommended that students read carefully the following rules.
For all information regarding registration, please refer to the Guides to the University:
Academic year 2026/27
1st SEMESTER COURSES
| Course |
Language |
Duration (h) |
Teaching mode |
Period |
Enrollment |
Course details and calendar |
| Python for data analysis (1ed) |
ENG |
16 |
In person |
September/October |
2 - 7 September |
See section below for details |
| Project management with Office |
ENG |
20 |
In person |
September/October |
2 - 7 September |
See section below for details |
| AI for Academic Research and Writing |
ENG |
16 |
In person |
November/December |
8 - 14 October |
See section below for details |
| Getting started with Python |
ENG |
24 |
In person |
November/December |
8 - 14 October |
See section below for details |
2nd SEMESTER COURSES
| Course |
Language |
Duration (h) |
Teaching mode |
Period |
Enrollment |
Course details and calendar |
| Applied Machine learning with Python |
ENG |
24 |
In person |
February/March 2027 |
January 2027 |
Available from December 2026 |
| Business Intelligence tools |
ENG |
20 |
In person |
February/March 2027 |
January 2027 |
Available from December 2026 |
| Python for data analysis (2ed) |
ENG |
16 |
In person |
March/May 2027 |
February 2027 |
Available from February 2027 |
| Big Data and predictive analytics |
ENG |
16 |
Online |
June 2027 |
May 2027 |
Available from May 2027 |