Singapore Management University (SMU) has unveiled the Master of Data Science in Economics (MDSE), the first master’s programme in Singapore to merge data science with economics. This initiative aims to address the increasing global demand for professionals skilled in applying artificial intelligence (AI) with domain expertise and analytical precision.
As AI and machine learning become integral to business and policy, the role of economists is shifting. The MDSE programme is designed to equip students with the skills to interpret complex data, assess uncertainty, and understand cause-and-effect relationships. Daniel Preve, Associate Professor of Economics Education and Programme Director of MDSE, emphasised the programme’s focus on causal inference and predictive uncertainty, which are crucial for informed decision-making.
The curriculum combines econometrics, AI, and data science, enabling students to handle large-scale datasets and translate insights into impactful decisions. The programme is tailored for both early-career and mid-career professionals, requiring no prior programming experience. It includes foundational courses in probability and statistical learning, alongside advanced modules for applied expertise.
Graduates will gain proficiency in key programming tools, exposure to real-world problem statements, and the opportunity to develop interactive portfolios. The MDSE also offers elective courses with industry practitioners, providing insights into Singapore’s fintech and digital economy.
This programme is part of SMU’s broader strategy to enhance AI education, complementing other initiatives like the Doctor of Business Administration and the Master of Science in Business AI. Applications for the inaugural August 2026 intake are now open, with scholarships and financial support available for eligible students.
