Master in Computational Engineering

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.

This MSc in Computational Engineering is tailored for students who are eager to advance their skills in a rapidly evolving field. The program spans one year and is designed for those with a background in engineering or a related discipline. Students will benefit from state-of-the-art facilities and a curriculum that emphasizes practical applications of computational techniques.

The curriculum covers essential topics such as machine learning, numerical methods, and high-performance computing. Students will engage in hands-on projects and simulations, allowing them to apply theoretical knowledge to real-world engineering challenges. The program also includes a dissertation component, enabling students to conduct in-depth research in their area of interest.

Graduates of this program can pursue various career paths, including roles as Computational Engineers, Data Scientists, and Systems Analysts. They may find opportunities in industries such as aerospace, automotive, and technology. The skills acquired are highly transferable, making graduates attractive to a wide range of employers looking for expertise in computational methods and engineering solutions.