Bachelor in Mathematics and Data Science

The University of Exeter blends a proud history with a modern, research-led education. Founded from the Exeter Schools of Art and Science and granted university status in 1955, Exeter now serves over 30,000 students and welcomes more than 6,700 international scholars. Its four-campus model offers a city-centre and a coastal Cornwall experience, giving students access to diverse environments and communities.

Academically, Exeter is known for strong multidisciplinary research and high graduate employability. With 148 programs spanning humanities, sciences, medicine and engineering, students benefit from well-equipped laboratories, specialist facilities and close faculty engagement. Research centres tackle global challenges across climate, health and data, creating opportunities for undergraduates and postgraduates to join impactful projects and industry collaborations.

Student life is vibrant and supportive, with extensive services for international students, active societies and career support that helps graduates enter competitive job markets. Accommodation and campus facilities score highly, and the city of Exeter offers an appealing balance of history, culture and outdoor access. For students seeking a top-ranked UK university with a research focus, strong student support and clear pathways to employment, Exeter provides a welcoming and ambitious environment.

The Master in Mathematics and Data Science at the University of Exeter is a master's degree program for students interested in mathematics and data science, lasting one year. It offers a strong foundation in mathematical methods, probability, statistics, and data science.

The curriculum includes compulsory modules such as programming, object-oriented programming, mathematical methods, and probability statistics and data. Students also develop skills in machine learning, data science, and statistical modeling through hands-on components like group projects.

Graduates can pursue careers as data scientists, machine learning engineers, statistical analysts, data engineers, or business intelligence analysts in various industries, including finance, healthcare, and technology, with potential employers ranging from startups to large corporations.