Master in Statistical Sciences

The University of Bologna, founded in 1088, combines a deep historical legacy with a modern research orientation. Recognized as one of the oldest institutions of higher learning, it operates multiple campuses across Emilia-Romagna and maintains an international site in Buenos Aires, reflecting a long tradition of crossborder engagement and academic exchange. The university is a founding member of the Coimbra Group, reinforcing its role within Europe and beyond.

Academically the university offers a broad portfolio across arts, humanities, sciences, law, medicine, engineering and business, with more than a hundred distinct programs and extensive postgraduate and doctoral study options. With a student community approaching 97,000 and an international cohort of over 8,500, the campus environment is multicultural and research intensive. Interdisciplinary collaboration and partnerships with industry and public institutions support practical learning and research impact across fields.

For international students the city of Bologna adds cultural vibrancy, rich architecture and an active student life that complements study. Support services, exchange networks and career resources help students navigate academic pathways and internships in Italy and Europe. Whether seeking a historic campus experience, strong research supervision, or professional connections across sectors, the University of Bologna provides a balanced environment for academic growth and personal development.

The Master in Statistical Sciences is a 2-year program at the University of Bologna, taught in English. It's for students who want to work with data and have a Bachelor's degree. This program helps students learn about statistical models, data science, and machine learning. Students learn from experts in the field and work on real-world projects.

The curriculum includes courses like Bayesian Inference, Stochastic Processes, and Supervised Statistical Learning. Students also learn about data science applications, statistical software, and statistical models. They can choose from elective courses like advanced probability, differential equations, and big data. The program includes hands-on training activities, such as internships and research projects, to help students develop practical skills.

After graduating, students can work as data analysts, statistical consultants, or machine learning engineers. They can work in industries like healthcare, finance, or technology, for companies like hospitals, banks, or startups. Some possible job titles include Biostatistician, Data Scientist, or Quantitative Analyst. Students can also pursue a career in research or academia, working as a statistician or professor.