Probability and Statistics: To p or not to p?

The University of London, founded in 1836 and headquartered in one of the world’s leading capitals, offers a broad and flexible higher-education environment through its federated colleges and institutes. Serving around 170,000 students with some 50,000 international learners, the University of London is notable for its global reach, diverse academic programs and long tradition of research excellence. Its structure lets students choose from a wide range of disciplines while benefiting from the prestige and resources of constituent colleges.

Academics span arts and humanities, social sciences, law, medicine, business and STEM fields across roughly 100 programs, supported by extensive research networks and partnerships. Students can access world-class faculty, libraries and laboratory facilities hosted by individual colleges, while interdisciplinary initiatives enable cross-college collaboration. The university’s scale also provides abundant extracurricular opportunities, professional development services and pathways to internships and research placements.

London’s international setting offers unmatched cultural and career resources: global firms, cultural institutions and start-up ecosystems are within easy reach. International students benefit from tailored support services, language preparation options and strong alumni networks across sectors and countries. Whether seeking rigorous research training or industry-aligned professional degrees, the University of London provides flexible routes, strong employability outcomes and the vibrancy of studying in a global city.

The University of London's Probability and Statistics: To p or not to p? is a non-degree program for students who want to learn about probability and statistics. It's taught in English and lasts several weeks.

This program covers topics like probability theory and statistical analysis. You'll develop skills in data analysis and problem-solving, and get to work on projects that help you apply what you've learned.

After completing this program, you could pursue careers like Data Analyst, Statistician, or Research Assistant. You might work in fields like finance, healthcare, or social science, for employers like research institutions or government agencies.