This MSc course offers an in-depth and rigorous training in computational and data intensive science, designed to equip students with advanced computational skills applicable across a wide range of scientific and engineering disciplines. Combining state-of-the-art computational techniques with real-world scientific problems, this course develops highly skilled computational scientists and engineers who can harness the power of numerical methods and data-intensive approaches to solve complex problems.
Students will gain expertise in key areas such as high-performance computing, data analytics, and advanced numerical simulations, all while learning to critically evaluate and interpret computational results in the context of their specific field. The course stands at the intersection of traditional scientific disciplines and modern computing, giving students a competitive edge by integrating cutting-edge computational tools with scientific inquiry.
By bridging the gap between computing and scientific research, graduates will be well-prepared to tackle some of the most challenging problems in fields such as physics, biology, engineering, environmental science, and beyond. Whether pursuing a career in industry or academia, this MSc opens doors to roles that require deep technical knowledge, innovative problem-solving skills, and the ability to manage and interpret large-scale data sets.
We expect our graduates to become valuable contributors across science, technology and engineering sectors, in both industry and academia. This course equips students with a strong blend of subject-specific and highly transferable skills valued by employers. These include professional software development, high-performance computing, numerical methods and optimisation, and advanced scientific modelling. These technical capabilities are complemented by strong communication, presentation and problem-solving skills. Graduates are well-prepared to contribute to research, innovation, and complex problem-solving, with a solid foundation for leadership roles and continued professional development in fast-moving scientific and technical environments.
Our graduates have progressed into a wide range of careers across industry, academia and the public sector, applying their expertise in data-intensive science, computing and scientific research. Alumni have taken up roles including Data Scientists, Data and Software Developers, Software Engineers, Data Analysts, Qualitative Researchers and Technologists, contributing to research, innovation and technological development across diverse sectors. Others have continued their academic careers through further study, including doctoral research at UCL and other leading universities.
For general information on graduate destinations across UCL, the Higher Education Statistics Agency (HESA) Graduate Outcomes survey provides insights into destinations for graduates from the 2018–2024 cohorts.