PhD in Statistics and Machine Learning
Bocconi University
Call for Applications The PhD in Statistics and Machine Learning at Bocconi University is a rigorous, internationally oriented four-year doctoral program taught in English, the working language of Bocconi's international research community. It provides in-depth training in modern Statistics and Machine Learning, with strong foundations in probability and an emphasis on integrating theory, statistical modeling, and computation. The program features two years of structured coursework, following the model of leadin...
Call for Applications The PhD in Statistics and Machine Learning at Bocconi University is a rigorous, internationally oriented four-year doctoral program taught in English, the working language of Bocconi's international research community. It provides in-depth training in modern Statistics and Machine Learning, with strong foundations in probability and an emphasis on integrating theory, statistical modeling, and computation. The program features two years of structured coursework, following the model of leadin...
Opportunity details
Call for Applications The PhD in Statistics and Machine Learning at Bocconi University is a rigorous, internationally oriented four-year doctoral program taught in English, the working language of Bocconi's international research community. It provides in-depth training in modern Statistics and Machine Learning, with strong foundations in probability and an emphasis on integrating theory, statistical modeling, and computation. The program features two years of structured coursework, following the model of leading US PhD programs. The first year provides rigorous foundational training in Statistics, Probability, and Machine Learning, and concludes with the Summer School in Advanced Statistics and Probability. The second year offers specialized, research-oriented courses focusing on advanced topics and recent developments in the field. Alongside this coursework, students begin working on original research problems, develop their research interests, and identify an advisor. The third and fourth years are devoted to original research and the completion of the doctoral dissertation, with close faculty supervision. The faculty includes internationally renowned researchers with strong publication records in leading academic outlets. Their expertise spans Bayesian statistics, machine learning, nonparametric and high-dimensional inference, computational methods and algorithms, and applied probability. Students also have opportunities to interact with distinguished visiting professors, attend Statistics seminars and seminars organized by the Bocconi Institute for Data Science and Analytics (BIDSA), participate in international conferences, and spend research periods abroad. The program's overarching objective is to train researchers capable of making original contributions at...
Eligibility
We welcome applications from highly qualified and motivated candidates with backgrounds in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, and other quantitatively oriented fields. QUALIFICATIONS: Applications can be submitted by candidates of any citizenship who: have completed or are completing their graduate studies and have at least a “proven” B2 (CEFR) level of competence in English The PhD School offers a maximum of 6 places with a fellowship fully funded by Tech Europe Foundation (TEF). The assessment of the applicant is based on: Personal curriculum: full CV (mandatory) Academic records: transcript of exams and certification of undergraduate and graduate degrees awarded and final grade (if any); if the graduate program has not been completed, an enrollment document with the full study plan, the exams taken and the grades achieved (mandatory) International Graduate Admission Tests scores: Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) – (not mandatory but highly recommended) Statement of purpose: short description (max 1200 words) of the candidate’s motivation for applying to the PhD in Statistics and Machine Learning, their research interests and professional goals (mandatory) Reference letters: up to three reference letters uploaded by referees appointed in the online application procedure (not mandatory but highly recommended) A minimum of 60 total points out of 100 is required to be eligible for admission to the program.
Requirements
Applications can be submitted by candidates of any citizenship who: have completed or are completing their graduate studies and have at least a “proven” B2 (CEFR) level of competence in English The PhD School offers a maximum of 6 places with a fellowship fully funded by Tech Europe Foundation (TEF). Fellowships amount to € 27,000 gross per year for each of the four years. Students with fellowship are exempt from the payment of tuition fees for the duration of the four-year program. The PhD School also offers 1 place with payment of tuition fees which amount to € 15,000 per year for years 1 and 2 and € 5,000 per year in years 3 and 4 and 1 place with full tuition waiver. For more detailed information, please see the full official call published on the website by clicking the Apply button above. For more detailed information about our program, please visit the website here. APPLICATION PROCEDURE: To apply for our PhD program, only our online application procedure may be used. Applications are due by 8 February 2027. The assessment of the applicant is based on: Personal curriculum: full CV (mandatory) Academic records: transcript of exams and certification of undergraduate and graduate degrees awarded and final grade (if any); if the graduate program has not been completed, an enrollment document with the full study plan, the exams taken and the grades achieved (mandatory) International Graduate Admission Tests scores: Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) – (not mandatory but highly recommended) Statement of purpose: short description (max 1200 words) of the candidate’s motivation for applying to the PhD in Statistics and Machine Learning, their research interests and professional goals (mandatory) Reference letters: up to thre...
Funding and benefits
Funding eligibility: UK Students, EU Students, International Students. Funding amount: €27,000 £23,484.49 converted salary* gross per year for each of the four years.
Required documents
CV, Reference, study plan
How to apply
For more detailed information about our program, please visit the website here. APPLICATION PROCEDURE: To apply for our PhD program, only our online application procedure may be used. Applications are due by 8 February 2027. The assessment of the applicant is based on: Personal curriculum: full CV (mandatory) Academic records: transcript of exams and certification of undergraduate and graduate degrees awarded and final grade (if any); if the graduate program has not been completed, an enrollment document with the full study plan, the exams taken and the grades achieved (mandatory) International Graduate Admission Tests scores: Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) – (not mandatory but highly recommended) Statement of purpose: short description (max 1200 words) of the candidate’s motivation for applying to the PhD in Statistics and Machine Learning, their research interests and professional goals (mandatory) Reference letters: up to three reference letters uploaded by referees appointed in the online application procedure (not mandatory but highly recommended) A minimum of 60 total points out of 100 is required to be eligible for admission to the program. Please consult our website for complete details of our application procedure. Click the Apply button above to access. For more information about the program, please feel free to contact phdadmission@unibocconi.it or the PhD Director, Professor Igor Prünster (igor.pruenster@unibocconi.it).
Open the official application information
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Source and verification
Check the current official call before applying
Recorded source check: November 3, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.
Benefits
Funding eligibility: UK Students, EU Students, International Students. Funding amount: €27,000 £23,484.49 converted salary* gross per year for each of the four years.
Eligibility summary
We welcome applications from highly qualified and motivated candidates with backgrounds in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, and other quantitatively oriented fields. QUALIFICATIONS: Applications can be submitted by candidates of any citizenship who: have completed or are completing their graduate studies and have at least a “proven” B2 (CEFR) level of competence in English The PhD School offers a maximum of 6 places with a fellowship fully funded by Tech Europe Foundation (TEF). The assessment of the applicant is based on: Personal curriculum: full CV (mandatory) Academic records: transcript of exams and certification of undergraduate and graduate degrees awarded and final grade (if any); if the graduate program has not been completed, an enrollment document with the full study plan, the exams taken and the grades achieved (mandatory) International Graduate Admission Tests scores: Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) – (not mandatory but highly recommended) Statement of purpose: short description (max 1200 words) of the candidate’s motivation for applying to the PhD in Statistics and Machine Learning, their research interests and professional goals (mandatory) Reference letters: up to three reference letters uploaded by referees appointed in the online application procedure (not mandatory but highly recommended) A minimum of 60 total points out of 100 is required to be eligible for admission to the program.
Requirements
Applications can be submitted by candidates of any citizenship who: have completed or are completing their graduate studies and have at least a “proven” B2 (CEFR) level of competence in English The PhD School offers a maximum of 6 places with a fellowship fully funded by Tech Europe Foundation (TEF). Fellowships amount to € 27,000 gross per year for each of the four years. Students with fellowship are exempt from the payment of tuition fees for the duration of the four-year program. The PhD School also offers 1 place with payment of tuition fees which amount to € 15,000 per year for years 1 and 2 and € 5,000 per year in years 3 and 4 and 1 place with full tuition waiver. For more detailed information, please see the full official call published on the website by clicking the Apply button above. For more detailed information about our program, please visit the website here. APPLICATION PROCEDURE: To apply for our PhD program, only our online application procedure may be used. Applications are due by 8 February 2027. The assessment of the applicant is based on: Personal curriculum: full CV (mandatory) Academic records: transcript of exams and certification of undergraduate and graduate degrees awarded and final grade (if any); if the graduate program has not been completed, an enrollment document with the full study plan, the exams taken and the grades achieved (mandatory) International Graduate Admission Tests scores: Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) – (not mandatory but highly recommended) Statement of purpose: short description (max 1200 words) of the candidate’s motivation for applying to the PhD in Statistics and Machine Learning, their research interests and professional goals (mandatory) Reference letters: up to three reference letters uploaded by referees appointed in the online application procedure (not mandatory but highly recommended) A minimum of 60 total points out of 100 is required to be eligible for admission to the program. Please consult our website for complete details of our application procedure. Click the Apply button above to access. For more information about the program, please feel free to contact phdadmission@unibocconi.it or the PhD Director, Professor Igor Prünster (igor.pruenster@unibocconi.it).
Documents required
CV, Reference, study plan
Language/test requirements
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