Please note that the Summer School will be residential and will be held in line with the dispositions of the Italian Government concerning COVID-19 prevention. We cannot currently anticipate about the pandemic situation in July.

Until the 31st of March 2022, guests of hotels, restaurants, bars and conferences in Italy must be in possession of a Green Pass ‘rafforzato’. 

For further information check the COVID-19 FAQ section of the Italian Ministry of Health.

  • Target Participants

The Summer School is designed for PhD students, and possibly brilliant MSc graduates / final-year students interested in pursuing doctoral studies in Statistics, Probability, Data Science, Machine Learning, Computer Science, Applied Mathematics, and related areas.
The School particularly welcomes applications from ethnic and gender groups that are underrepresented in the field of statistics.

Lectures are in English. The Summer School has a residential format (no in-distance attendance is envisaged for the students).

In order to foster active interaction among students and instructors, the School is targeted for a class of at most 40 qualified and selected participants.

The class group will include some students of the PhD in Statistics and Computer Science of Università Bocconi and some students of the EPSRC Center for Doctoral Training in Modern Statistics and Statistical Machine Learning at Imperial and Oxford.

The Bocconi Institute of Data Science (BIDSA) will confer up to two Awards, covering the registration fee, to outstanding applicants.

  • Selection criteria

Selection of participants will be mainly based on the quality of the curriculum. The Admission Committee (comprised of Bocconi professors and MSSML CDT professors) will also consider other relevant aspects of candidates’ application such as: the coherence of the motivation with the aim and scope of the school, the potential benefit for the student’s research and the timeliness for the development of the student’s career.

Required documents for applying:

1) Personal CV
– Education; work experience; language skills and other relevant info;

2) Academic records
– for PhD students: PhD exams transcript (if applicable)
– for MSc students and graduates: transcript of MSc exams

3) Referees
up to 2 referees that the Admission Committee could contact (names, institution and e-mail address)

4) Statement of purpose
Max 1200 words; short description of:
– academic background in statistics, probability and/or other related areas
– research interests
– motivation for participating in the Summer School

Applications are closed.