Master in Advanced 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 MSc Advanced Data Science program is designed for students with a computational or mathematical background who want to deepen their knowledge and apply their skills to complex societal problems. This one-year full-time course offers a flexible curriculum that includes core data science skills, artificial intelligence, and machine learning. Ideal candidates are those who thrive in a research-led environment and are eager to engage with cutting-edge technologies.

Students will explore a variety of subjects, including machine learning, artificial intelligence, and network science. The program emphasizes hands-on learning through individual and group research projects, allowing students to build a portfolio that showcases their skills. This practical approach prepares graduates for both professional roles in data science and further academic pursuits, such as PhD studies.

Graduates of this program can pursue various roles, including data scientist, machine learning scientist, Python programmer, and software engineer. The skills acquired are highly transferable, making graduates attractive to employers in technology, finance, healthcare, and beyond. The university's strong connections with industry partners and dedicated career support ensure that students are well-prepared for the job market.