Master in Fundamental Principles Of Data Science

The University of Barcelona (UB) is a historic public research university founded in 1450, located in the vibrant city of Barcelona. With some 63,000 students and a significant international population, UB offers a wide range of undergraduate and graduate programs across arts and humanities, law, health sciences, social sciences and STEM fields. Its city-centered campuses combine historic buildings and modern facilities, giving students access to libraries, labs, research centers and cultural life in one of Europe’s most dynamic cities.

UB is known for research excellence and international collaboration, with notable strengths in law, medicine, economics and business. Students benefit from comprehensive academic support, structured degree programs, and opportunities for internships with local and international employers. Multilingual instruction and language support help international students integrate, while study abroad exchanges and research partnerships create pathways for global mobility and collaborative projects.

Student life at UB blends academic rigor with Barcelona’s cultural richness: museums, industry hubs, startups and a large creative sector provide internship and networking possibilities. Career services, student organizations and campus resources assist with practical matters like housing and legal documentation. For international applicants seeking a large, research-led European university with strong professional links, UB combines historic prestige, modern facilities and an engaging urban experience.

The Master in Fundamental Principles Of Data Science at the University of Barcelona is a master's degree for students who want to understand the basics of data science. It takes one year to complete and is taught in English. The program helps students develop skills in algorithmic and mathematical modeling of data.

The curriculum covers subjects like computational algebra, optimization, probabilistic programming, and machine learning. Students also learn about complex networks, recommendation systems, and natural language processing. The program includes hands-on components to help students adapt algorithms to specific problems.

Graduates can work as data scientists, machine learning engineers, business intelligence analysts, or data analysts. They can find jobs in industries like finance, healthcare, or technology, and work for companies like research institutions, hospitals, or software firms.