This module equips students with both theoretical and practical knowledge of computational methods used in the financial services industry. The module’s topic coverage includes: series expansion, root-finding, optimisation methods, interpolation techniques, quadrature, and simulation methods. The lectures introduce the key concepts while the seminars are more practical. During the seminars, students will apply their knowledge of computational methods through the use of Python. The assessment is conducted via a mid-term test (30%) and an individual project (70%) at the end of the module. Overall, the students will develop a range of skills, including communication, IT literacy, numeracy, and problem-solving skills.