Many local professionals may be hesitant to commit to a full master’s programme but recognize the need to upskill in areas relevant to their careers. The Graduate Certificate in Applied Data Science for Economics and Finance provides essential data analytics skills tailored for economic and financial applications, making it an ideal opportunity for ministry employees and financial sector professionals looking to stay updated.The advent and availability of big data, along with the rapid digitalisation of the financial sector, have significantly transformed the practice of economics and finance. New analytical techniques such as machine learning, nowcasting, and real-time data analysis have become increasingly important for understanding economic activities, especially in periods of economic crises. Moreover, financial innovation driven by technologies like FinTech, digital currencies, and RegTech is reshaping markets, requiring professionals to possess strong competencies in both economics and data science.This Graduate Certificate programme is designed to equip participants with the skills most sought after in today’s job market, including applied econometrics, data visualization, statistical modeling, and proficiency in programming tools such as Python. These competencies are highly relevant for roles such as data scientists, economists, financial analysts, and policy analysts in both public and private sectors.Additionally, completing a Graduate Certificate in Applied Data Science for Economics and Finance at NUS would increase participants' inclination to pursue a full master’s degree at NUS in the future, as it provides familiarity with the university’s system, an introduction to cross-disciplinary learning, and potential time savings. The training received also positions graduates well for future educational progression into programmes such as the Master in Economics, Master in Business Analytics, or Master in Data Science and Machine Learning. Overall, the Graduate Certificate addresses the growing need for versatile professionals who can integrate economic reasoning with data-driven decision-making, in line with the demands of the Fourth Industrial Revolution.