Statistical Data Science

At University College Dublin, tuition is 9,835 USD per year.

The Statistical Data Science program at University College Dublin is a non-degree course for students who want to improve their statistical skills. It's a 4-year program that helps students deepen their understanding of statistics.

The curriculum includes modules on probability, statistics, Modern Regression Analysis, and Statistical Machine Learning. Students get to engage in practical applications, preparing them for real-world challenges.

Graduates can work as Data Analysts, Statisticians, or Research Scientists. They can find jobs in finance, healthcare, or technology, where strong statistical skills are valued.

University College Dublin (UCD) is Ireland’s largest and most globally engaged university, founded in 1854 and situated on a spacious campus south of Dublin. Renowned for its research-intensive culture, UCD hosts more than 35,000 students from over 150 countries and offers a broad spectrum of undergraduate and postgraduate programs across arts, sciences, business, engineering, medicine and more. Its scale and international outlook make it an appealing destination for students seeking a research-led education in an energetic European capital region.

UCD’s academic strengths span traditional disciplines and cutting-edge fields, with robust research funding and industry partnerships that support innovation and practical learning. Students benefit from state-of-the-art laboratories, comprehensive libraries, student support services and a wide network of international exchanges. The university also emphasizes employability through career services, internships and active alumni engagement that help graduates transition into global careers.

Campus life at UCD balances academic intensity with extracurricular engagement, including sports, cultural societies and community involvement. Accommodation, transport and welfare services are geared to support international students arriving to Dublin. Prospective applicants should review program-specific entry requirements and available scholarships, consider English language criteria, and use the university’s international office resources to plan applications and arrival logistics.