This degree integrates economic theory with advanced data science and machine learning techniques. It explores innovative connections between economics and computing, emphasizing cutting-edge computational methods for data analysis. The interdisciplinary programme equips students with skills to address dynamic economic challenges, including artificial intelligence and machine learning applications. Students gain a strong foundation in economic theory, alongside tools for handling complex datasets, fostering analytical expertise for professional success. Small class sizes and personal tutoring enhance interaction and support throughout the three years.The curriculum includes compulsory modules across three years: Year 1 covers introductory economics, programming, and mathematics; Year 2 focuses on intermediate economics, quantitative methods, and programming with data; Year 3 delves into econometrics, advanced econometrics, and machine learning. Optional modules span computing (e.g., data visualisation, neural networks) and economics (e.g., behavioural economics, international economics). Assessment varies by module, incorporating coursework, exams, group work, and projects.
A local representative of Goldsmiths, University of London in Singapore is available online to assist you with enquiries about this course.