Probability and Statistics

Helsinki Metropolia University of Applied Sciences, founded in 2008, is Finland’s largest university of applied sciences and serves about 17,000 students in the Helsinki metropolitan area. Known for its practical, multidisciplinary approach, Metropolia combines technical, creative and healthcare education with a strong emphasis on innovation. Its campuses are well connected to the city’s business and technology ecosystems, offering an environment that supports applied learning and professional development.

The university provides a wide selection of degree programs across Culture, Business, Health Care and Social Services, and Technology, with 272 distinct programs and numerous English-taught options. Metropolia’s research, development and innovation activities operate through five specialized innovation hubs that link students to industry partners and real-world projects. This structure allows learners to gain hands-on experience, develop problem-solving skills and work on solutions that address current societal challenges.

International students find a welcoming and inclusive community, with extensive support services for orientation, career guidance and integration into the Finnish job market. Modern facilities and strong collaboration with employers make Metropolia a practical choice for those seeking career-oriented higher education in Northern Europe. Its focus on applied research and industry ties helps graduates transition smoothly into professional roles.

The Probability and Statistics program is a non-degree course for students seeking to understand key concepts in probability and statistics, offered by Helsinki Metropolia University of Applied Sciences in Finland. It lasts one year and is taught in English.

The curriculum covers population sampling, statistical testing, and various types of distributions, with a focus on practical applications and real-world data analysis. Students develop analytical skills and learn to interpret uncertainty in data.

Graduates can pursue careers as data analysts, statistical researchers, business intelligence developers, operations researchers, or data scientists, applying their skills to tackle complex problems and make informed decisions based on data.