PhD in Statistics and Computer Science – a.y. 2023-2024
Call for applications for PhD student positions
The Bocconi PhD School (Milan, Italy) provides 7 scholarships for the PhD
in Statistics and Computer Science, and a position with tuition waiver.
- Scholarship amount *
20,000 euros per annum
Further funding may be available through teaching and research
assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
** Applications are due by February 1, 2023 **
Within the PhD School at Bocconi University, the four-year PhD program in
Statistics and Computer Science is a high profile and rigorous doctoral
program that develops strong mathematical, statistical, computational and
programming backgrounds.
The curriculum is structured into two tracks: Statistics and Computer
Science. The first year includes courses that are compulsory for all
enrolled PhD students. The second-year features track-specific and elective
courses that provide students with a more specialized competence and focus
on topics that may be the object of the doctoral dissertation.
Dedicated mentorship is offered to students throughout their time at
Bocconi. Multidisciplinary interchange with other graduate programs in
Bocconi’s PhD School, as well as research experience abroad, are also
encouraged.
The Faculty includes internationally acknowledged top researchers in
Statistics, Computer Science, Machine Learning, Decision Theory and
Statistical Physics. The program also benefits from contributions of
authoritative visiting professors who deliver short monographic courses.
Highly qualified and motivated students with M.Sc. degrees in Statistics,
Mathematics, Computer Science, Economics, Physics, Engineering and related
areas, as well as other quantitatively-oriented fields, are encouraged to
apply for admission.
Applicants should hold, or be on their way to hold, a graduate degree or
equivalent.
For further information about the PhD program in Statistics and Computer
Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience and feel
free to contact:
Antonio Lijoi (antonio.lijoi@unibocconi.it)
Angela Baldassarre, PhD administrative assistant
(angela.baldassarre@unibocconi.it)