COURSE CURRICULUM

The MSc in Computational Chemistry and Data Science prepares students for careers in the modern chemical industry, where big data, automation, and artificial intelligence are transforming research and production. This one-year program integrates computational modelling, AI, and data analytics to tackle complex chemical problems, providing both theoretical understanding and practical expertise. Students gain a deep foundation in data science, computational techniques, and machine learning applications within chemistry. The course also emphasizes technical skills such as Python programming, software development, and the analysis of large-scale datasets. Learning is guided by expert academics actively engaged in cutting-edge computational chemistry research. Hands-on training is a key feature of the program, with opportunities to work with advanced computing tools and facilities, including access to the University’s supercomputer Iridis 5, capable of executing over a quadrillion calculations per second. Through this experience, students develop a strong command of high-performance computing and modern digital tools essential for scientific innovation. Graduates leave the program equipped with the advanced technical and analytical skills necessary for research or industry roles at the intersection of chemistry and data science, contributing to the growing digital transformation of chemical and materials science.