Academic Mobility Program ERASMUS+

EVENTO Presencial TIPO Académico UPS domingo, 24 noviembre 2019
Universidad Politecnica Salesiana (UPS) and Universidad de Pisa (UNIPI) announce the academic mobility program which will allow two students from one of our undergraduate programs to study at Universidad de Pisa, in Italy for one semester.
 
Date to apply: From November 7th to November 24th 
 
Results will be published on: December 6th
 
The period of the academic mobility program is from February 2020 to June 2020 
 
Scholarship includes 1,500 euros (round trip) and 850 euros per month for 6 months
 
Students can apply to study:
 
- Computer engineering
 
- Informatics
 
- Data science and business informatics
 
- Artificial intelligence and data engineering
 
- Bionics engineering
 
- Materials and nanotechnology
 
- Economics
 
To apply:
 
1. Go to www.ups.edu.ec
 
2. Log in
 
3. “Becas Erasmus+ UNIPI (Menu on the left)
 
Documents:
 
1. A declaration of interest statement
 
2. Academic record  (download from website)
 
3. Language certificate (given to you by the campus secretary or one from an English language school) 
 
4. CV
 
5. Learning agreement
 
6. Passport
 
General terms and conditions:
 
- Students must be enrolled in UPS
 
- Students from the following programs may apply: computing, mechanics, electronics and automation, mechatronics, business and biomedicine.
 
- Number of credits that will be taken: 30
 
- Students must have a B1 English level (classes will be taught in English) 
 
- Students who are admitted to the mobility program must normally enroll  at UPS
 
- Visa procedures, insurance and other costs must be covered by the student
 
For more information:
 
International relations department: internationalrelations@ups.edu.ec
 
2050000 ext 1107
 
Links of interest: 
 

Computer Engineering

https://esami.unipi.it/esami2/ects_cds.php?cds=WCN-LM&aa=2019

https://esami.unipi.it/esami2/ects_cds_off.php?cds=WCN-LM&aa=2019

Informatics

https://esami.unipi.it/esami2/ects_cds.php?cds=WIF-LM&aa=2019  https://esami.unipi.it/esami2/ects_cds_off.php?cds=WIF-LM&aa=2019

Data Science and Business informatics

https://esami.unipi.it/esami2/ects_cds.php?cds=WDS-LM&aa=2019

https://esami.unipi.it/esami2/ects_cds_off.php?cds=WDS-LM&aa=2019

Artificial Intelligence and Data Engineering

https://esami.unipi.it/esami2/ects_cds.php?cds=WAI-LM&aa=2019

https://esami.unipi.it/esami2/ects_cds_off.php?cds=WAI-LM&aa=2019

Bionics Engineering

https://esami.unipi.it/esami2/ects_cds.php?cds=WBE-LM&aa=2019

https://esami.unipi.it/esami2/ects_cds_off.php?cds=WBE-LM&aa=2019

Materials And Nanotechnology

https://esami.unipi.it/esami2/ects_cds.php?cds=WNT-LM&aa=2019

https://esami.unipi.it/esami2/ects_cds_off.php?cds=WNT-LM&aa=2019

Economics

https://esami.unipi.it/esami2/ects_cds.php?cds=WES-LM&aa=2019

       https://esami.unipi.it/esami2/ects_cds_off.php?cds=WES-LM&aa=2019