Double degree programmes

There is a limited number of positions (max. 5) available each year for both programmes (Lugano and ENSAI). 

Applications must be submitted according to the terms and timelines of the Erasmus + Study Programme. The list of all possible destinations (including Lugano and ENSAI/Rennes) is usually published between January and February of each academic year on AlmaRM.

At the time of their application, all students interested in these programmes must have already obtained at least 10 ECTS (for all programmes). Students in the Data Science curriculum interested in the double degree programme with USI must also demonstrate to have a knowledge of English language at (at least) B2+ level. Students in the Health and Population Analytics curriculum interested in the double degree programme with ENSAI must also demonstrate to have a knowledge of French language at (at least) B2 level.  

Selections are based on students' achievements during both their Bachelor's degree and the I semester of their I year in the Master's programme (rules are those used for the evaluation of Erasmus + study exchange applications). In case of ties, the student with the highest level of proficiency in the language required by the programme will be preferred; in case of ties also in this proficiency level, the youngest student will be preferred.

The exchange with the Master in Computational Science takes place between September and February (5 months) of the II year of the programme. Bologna students must obtain at least 30 ECTS at USI.

The exchange with the Masters offered by ENSAI takes place between September and July (11 months) of the II year of the programme. Bologna students must obtain 60 ECTS at ENSAI, including the defence of the master’s thesis.

Information on the double degree programme with the Master in Computational Science

Path for students from UNIBO to USI 

The mandatory courses students will follow at USI will be: 

• Analysis of social networks (6 ECTS)
• Introduction to programming (Python) (6 ECTS)
• Advanced topics in machine learning (6 ECTS)
• Bioinformatics   (6 ECTS)

The elective courses that the students can choose at USI (at least 6 ECTS) are:

• Artificial intelligence (6 ECTS)
• Deep learning lab (3 ECTS)
• Machine learning (6 ECTS)
• Databases (6 ECTS)
• Analysis of social networks (6 ECTS)
• Introduction to data science (6 ECTS)
• Computational biology and drug design (6 ECTS)
• Distributed Algorithms (6 ECTS)
• Master thesis preparation (6 ECTS)
• Distributed System (6 ECTS)
• Introduction to Ordinary Differential Equations (3 ECTS)
• Scattered Data Approximation (3 ECTS)
• Software Tools for Computational Biology (3 ECTS)

The following courses are more "computational" (but don't require advanced programming skills): 

• Algorithms & Complexity (6 ECTS)
• High performance computing (6 ECTS)
• Efficient computational algorithms (6 ECTS)
• Numerical algorithms (6 ECTS)

To attend the integrated study programme, students must comply with AT LEAST ONE of the following:

• Be a native English speaker;

• Have earned a degree taught entirely in English;

• Possess an authorized (IELTS, TOEFL, Cambridge English, TOEIC) English certificate, no older than 3 years;

The B2+ level on the CEFR corresponds to the following scores in internationally acknowledged exams:

Information on the double degree programmes with ENSAI

(will be published soon)