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). 

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.

Unibo students enrolled in the Data Science track who are interested in the double degree programme with USI must demonstrate to have a knowledge of English language at (at least) B2+ level. 

Unibo students enrolled in the Data Science track or the Official Statistics track who are interested in the double degree programme with ENSAI must demonstrate to have a knowledge of English language at (at least) B2 level.  

Unibo students enrolled in the Health and Population Analytics track who are interested in the double degree programme with ENSAI must demonstrate to have a knowledge of French language at (at least) B2 level. 

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 Unibo students will follow at USI are: 

• 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

Path for students from Data Science (UNIBO) to Smart Data Science (ENSAI)

The mandatory courses Unibo students will follow at ENSAI are:

• UE-MSD01 : Machine Learning (7 credits)
• UE-MSD02 : Models for Dependent Data (5 credits)
• UE-MSD03 : Statistics for New Data (5 credits)
• UE-MSD04 : Advanced Tools for Data Analysis & Computing (3 credits)
• UE-MSD05 : IT Tools (5 credits)
• UE-MSD06 : Case Studies and Project (5 credits)
• UE-MSD07 : Internship (30 credits)

More detailed information about the Smart Data Science program at ENSAI is available here. 

Path for students from Health and Population Analytics (UNIBO) to Science des Données pour la Décision Publique – majeure Méthodologie de la statistique publique (ENSAI)

The mandatory courses Unibo students will follow at ENSAI are:

• UE1 - Machine learning (6 credits)
• UE2 - Conception d’enquêtes et Nouvelles Sources de Données (4 credits)
• UE3 - Aide à la decision publique (4 credits)
• UE4 - Collecte de données avancée (4 credits)
• UE5 – Sélection au choix dans les options (3 credits)
• UE6 - Sélection au choix dans les options (3 credits)
• UE7 - Projects (3 credits)
• UE8 - English for official statistics (3 credits)
• UE 9 Projet professionnel et stages (30 credits)

For more information about the Méthodologie de la statistique publique program at ENSAI see here.

Path for students from Official Statistics (UNIBO) to Science des Données pour la Décision Publique – majeure International EMOS (ENSAI)

The mandatory courses Unibo students will follow at ENSAI are:

• Machine learning (5 credits)
• Modélisation économique (5 credits)
• Compléments en économie de la santé EMOS (3 credits)
• Econométrie avancée (4 credits)
• Analyse de réseaux (4 credits)
• English for official statistics (3 credits)
• Projets (6 credits)
• Projet professionnel et stages (30 credits)

For more information about the International EMOS program at ENSAI see here.