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University: University of Milano-Bicocca
Country: Italy
Deadline: 2024-04-17
Fields: Economics, Statistics, Data Science, Quantitative Methods, Business Analytics
Topic: Italy – Fully Funded PhD in Economics, Statistics, and Data Science at University of Milano-Bicocca
Fields: Economics, Statistics, Data Science, Quantitative Methods, Business Analytics
Position: phd
Country: europe
Deadline: 2024-04-17
University: University of Milano-Bicocca
Real Country: Italy
Main Category: social sciences & humanities
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Are you passionate about advancing knowledge in economics, statistics, or data science, and eager to contribute original research to these dynamic fields? If your goal is to become a leader in quantitative research, policy analysis, or academia, the fully funded PhD program at University of Milano-Bicocca offers an exceptional environment to realize your ambitions.
The University of Milano-Bicocca, located in the vibrant city of Milan, Italy, is renowned for its commitment to interdisciplinary research and academic excellence. The university’s Department of Economics, Management and Statistics (DEMS), together with the Department of Statistics and Quantitative Methods, fosters collaboration among economists, statisticians, and data scientists. This synergy is reflected in the ECOSTATDATA PhD program, which stands out for its international orientation, strong ties to non-academic sectors, and outstanding placement record for graduates.
About the University or Research Institute
Founded in 1998, the University of Milano-Bicocca (Università degli Studi di Milano-Bicocca) has quickly established itself as one of Italy’s leading research universities. Located in Milan—a global hub for finance, fashion, and innovation—the university offers a stimulating academic environment with a diverse international community. The campus is equipped with state-of-the-art facilities and is well connected to the city’s economic and cultural centers.
The university’s Department of Economics, Management and Statistics (DEMS) is recognized for its rigorous academic standards and commitment to research excellence. DEMS collaborates closely with the Department of Statistics and Quantitative Methods, creating a rich interdisciplinary environment that supports cutting-edge research in economics, statistics, and data science. Milano-Bicocca’s strong international partnerships and engagement with the private sector further enhance the research and career opportunities available to its students.
Living and studying in Italy offers unique advantages. Students benefit from the country’s rich cultural heritage, dynamic economy, and high quality of life. Milan, in particular, provides abundant opportunities for networking, internships, and exposure to leading industries. The university’s international orientation ensures that students from around the world feel welcome and supported throughout their studies.
Research Topic and Significance
The PhD in Economics, Statistics, and Data Science (ECOSTATDATA) is designed to address some of the most pressing challenges in today’s data-driven world. The program offers three distinct tracks—Economics, Statistics, and Big Data & Analytics for Business—each tailored to equip students with advanced theoretical and practical skills.
In the Economics track, students delve into microeconomics, macroeconomics, and econometrics, developing the tools needed for frontier research in economic theory and policy analysis. The Statistics track focuses on probability theory, statistical inference, Bayesian statistics, and computational methods, preparing students for research in theoretical and applied statistics as well as interdisciplinary quantitative fields. The Big Data & Analytics for Business track integrates statistical and computational approaches, emphasizing data management, machine learning, and big data architectures to tackle real-world business and economic problems.
This interdisciplinary approach is increasingly vital as the boundaries between economics, statistics, and data science continue to blur. The program’s emphasis on rigorous methodological training and independent research ensures that graduates are well prepared to address complex challenges in academia, industry, and public policy.
Project Details
The ECOSTATDATA PhD program is a four-year, fully funded opportunity that combines intensive coursework with early and continuous research training. Students begin their journey with advanced courses tailored to their chosen curriculum, followed by specialized reading groups and research activities under the supervision of experienced faculty members.
Throughout the program, students are encouraged to participate in departmental seminars and present their work in dedicated PhD seminars, fostering a vibrant research community. The program provides generous funding for conferences, summer schools, and research visits abroad, ensuring that students are exposed to the latest developments in their fields and have opportunities to build international networks.
The culmination of the PhD is a dissertation consisting of at least two original, self-contained papers suitable for submission to leading international journals. Students’ progress is closely monitored through exams and research evaluations, ensuring that only those who meet the highest standards advance to the final defense.
Candidate Profile
The ideal candidate for this PhD program is a highly motivated individual with a Master’s degree and a strong interest in research. Applicants should have a solid background in one or more of the following areas:
– Economics (quantitative focus)
– Statistics and quantitative methods
– Data science and analytics
– Mathematics or related quantitative disciplines
Successful candidates will demonstrate analytical rigor, a passion for independent research, and a willingness to engage with interdisciplinary approaches. Proficiency in English is required, as the program is taught entirely in English. The program seeks applicants who are eager to contribute to the academic community, engage with international peers, and pursue research that addresses real-world challenges.
Application Process
Applications for the 2026-2027 cohort are open from March 18 to April 17. The selection procedure is governed by the official Call for Applications (Bando di Concorso), which outlines all required documents and details of the entrance examination.
To learn more and apply, please visit the official program page:
https://www.dems.unimib.it/en/programmes/post-lauream/phd-economics-statistics-and-data-science
Conclusion
The fully funded PhD in Economics, Statistics, and Data Science at University of Milano-Bicocca represents a unique opportunity for ambitious scholars to advance their research careers in a supportive and internationally oriented environment. With comprehensive training, interdisciplinary collaboration, and excellent career prospects, this program is ideal for those seeking to make a significant impact in the quantitative sciences.
If you are passionate about research and ready to take the next step in your academic journey, we encourage you to apply and to share this opportunity with interested colleagues or students. For more opportunities like this, stay tuned to our updates below.
Questions & Answers
Question: What are the main tracks offered in the PhD program?
The program offers three tracks: Economics, Statistics, and Big Data & Analytics for Business. Each track provides specialized coursework and research opportunities in its respective field.
Question: Is the PhD program fully funded?
Yes, the program offers 12 fully funded four-year scholarships, which include support for research activities, conferences, and academic job market preparation.
Question: What is the language of instruction?
The entire program is taught in English, making it accessible to international students from around the world.
Question: What are the eligibility requirements?
Applicants must hold a Master’s degree and demonstrate a strong interest in research. A solid background in economics, statistics, data science, or related quantitative fields is essential.
Question: When is the application deadline?
The application window is open from March 18 to April 17.
Question: What support is available for international students?
The university provides a welcoming environment for international students, with dedicated support services, funding for research visits abroad, and integration into a diverse academic community.
Question: What are the career prospects after completing this PhD?
Graduates have an excellent record of placement in academia, research institutions, industry, and public policy organizations, both in Italy and internationally.
Question: Where can I find more information and apply?
Detailed information and application instructions are available on the official program page:
https://www.dems.unimib.it/en/programmes/post-lauream/phd-economics-statistics-and-data-science
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/2026/03/12/phd-admission-chance-calculator/
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