Courses and Requirements

Please note that the study program will be subject to some changes. The structure of the 2nd year will differ, for the two curricula, starting from a.y. 2025-26. See the webpage on admissions for more information.

Classes start at the beginning of September. Attendance is mandatory. Students cannot attend the program by distance learning.

The program features two curricula (to be chosen when applying):

Statistics Curriculum

First year – a.y. 2025-26 (41^th cycle)

12 compulsory courses
Exam for each course
Participation to Statistics Seminars organized by the Department of Decision Sciences

Compulsory courses:

SEM.	COURSE TITLE	HOURS	PROFESSOR
1	INTRODUCTION TO REAL ANALYSIS I	28	H.Lavenant
1	INTRODUCTION TO REAL ANALYSIS II	28	G. Savaré
1	PROBABILITY THEORY I	28	S. Fortini
1	PROBABILITY THEORY II	24	A. Lijoi
1	COMPUTER SCIENCE I (Programming)	30	C. Baldassi
1	COMPUTER SCIENCE II (Algorithms)	24	A. Rosen
2	STATISTICAL THEORY I	30	B. Szabo, F.Rico Zoraida
2	STATISTICAL THEORY II	30	B. Szabo, F.Rico Zoraida
2	STOCHASTIC PROCESSES I	24	S. Fortini
2	STOCHASTIC PROCESSES II	24	I. Pruenster, L. Tamanini
2	BAYESIAN STATISTICAL THEORY I	24	A. Lijoi,
2	BAYESIAN STATISTICAL THEORY II	24	S. Petrone
	Principles of Research Ethics*	2	SELF-MANAGED ONLINE course

*The course is available at  ECR.unibocconi.it (login with Bocconi credentials, using the Student ID as username). Students have to pass the final test and send the certificate to the PhD administrative assistant for the registration by the end of the academic year: 31st August 2026

Second year — a.y. 2025-26 (40^th cycle), Statistics track

Summer School in Advanced Statistics and Probability
8 courses
Courses taught by VP
Statistics Seminars organized by the Decision Sciences Department

SEM.	COURSE TITLE	HOURS	PROFESSOR
Summer 1st year	BOCCONI SUMMER SCHOOL IN ADVANCED STATISTICS AND PROBABILITY	30
1	BAYESIAN NON-PARAMETRICS	30	I. Pruenster
1	APPLIED MULTIVARIATE ANALYSIS	24	R. Piccarreta
1	STATISTICS FOR EXTREMES	24	S.Padoan
1	STATISTICAL MACHINE LEARNING	24	D.Durante
1	COMPUTATIONAL STATISTICS	24	O. Papaspiliopoulos
2	DESIGN AND ANALYSIS OF COMPUTER EXPERIMENTS	24	E.Borgonovo
2	APPLIED SURVIVAL DATA ANALYSIS	24	M. Bonetti
2	ADVANCED COMPUTATIONAL STATISTICS	24	G.Zanella
2	SPECIAL TOPICS IN STASTISTICS	24	VP D.Witten
2	SPECIAL TOPICS IN COMPUTER SCIENCE	14	VP:  M. Sudan

NEW! Open Science for Researchers: elective online workshop (75 minutes) offered by the Bocconi library, open to all PhD students from 2nd year.

Third year (39^th cycle) - Fourth year (38^th cycle) — a.y. 2025-26, Statistics track

Study/research period at other Universities + TA/RA activities (optional) 
Participation in conferences
Statistics Seminars organized by the Decision Sciences Department
End of 3rd year: Submission of mid-term doctoral thesis (at least a first research paper is expected)
End of 4th year: Thesis submission to external reviewers
Thesis dissertation

NEW! Open Science for Researchers: elective online workshop (75 minutes) offered by the Bocconi Library, open to all PhD students from 2nd year.

Computer Science Curriculum

First year – a.y. 2025-26 (41^th cycle)

12 compulsory courses
Exam for each course
Participation to Computer Science seminars organized by the Department of Computing Sciences

Compulsory courses:

SEM.	COURSE TITLE	HOURS	PROFESSOR
1	COMPUTER SCIENCE I (Programming)	30	C. Baldassi
1	COMPUTER SCIENCE II (Algorithms)	24	A. Rosen
1	OPTIMIZATION	24	A. Celli
2	GRAPH THEORY	24	L. Sanità
2	MODERN APPLIED MACHINE LEARNING	30	C.Lucibello
2	STATISTICAL MECHANICS AND METHODS FOR COMPLEX SYSTEM	24	M.J. Mézard
	Principles of Research Ethics*	2	SELF-MANAGED ONLINE course

*The course is available at ECR.unibocconi.it (login with Bocconi credentials, using the Student ID as username). Students have to pass the final test and send the certificate to the PhD administrative assistant for the registration by the end of the academic year: 31st August 2026

6 compulsory courses to be chosen among the following 10:

SEM.	COURSE TITLE	HOURS	PROFESSOR
1	INTRODUCTION TO REAL ANALYSIS I	28	H.Lavenant
1	INTRODUCTION TO REAL ANALYSIS II	28	G. Savaré
1	PROBABILITY THEORY I	28	S. Fortini
1	PROBABILITY THEORY II	24	A. Lijoi
2	STATISTICAL THEORY I	30	B. Szabo , F. Rico Zoraida
2	STATISTICAL THEORY II	30	B. Szabo, F. Rico Zoraida
2	STOCHASTIC PROCESSES I	24	S. Fortini
2	STOCHASTIC PROCESSES II	24	I. Pruenster, L. Tamanini
2	BAYESIAN STATISTICAL THEORY I	24	A. Lijoi, G. Zanella
2	BAYESIAN STATISTICAL THEORY II	24	S. Petrone

Second year — a.y. 2025-26 (40^th cycle), Computer Science track

Summer School in Advanced Statistics and Probability
Reading groups
Courses taught by VP
Computer Science Seminars organized by the Department of Computing Sciences

SEM.	COURSE TITLE	HOURS	PROFESSOR
Summer 1st year	BOCCONI SUMMER SCHOOL IN ADVANCED STATISTICS AND PROBABILITY	30
2	READING GROUP ON ADVANCED TOPICS IN COMPUTER SCIENCE	14	T. D'Orsi
2	SPECIAL TOPICS IN COMPUTER SCIENCE	14	VP. M. Sudan
NEW! Open Science for Researchers: elective online workshop (75 minutes) offered by the Bocconi library, open to all PhD students from 2nd year.

Third year (39^th cycle) - Fourth year (38^th cycle) — a.y. 2025-26, Computer Science track

Study/research period at other Universities + TA/RA activities (optional) 
Participation in conferences
Computer Science Seminars organized by the Department of Computing Sciences
End of 3^rd year: Submission of mid-term doctoral thesis (at least a first research paper is expected)
End of 4^th year: Thesis submission to external reviewers
Thesis dissertation

NEW! Open Science for Researchers: elective online workshop (75 minutes) offered by the Bocconi library, open to all PhD students from 2nd year.

Courses and Requirements

Detailed Requirements