The MSc in Economics and Data Analytics at UCD combines advanced economic theory with cutting-edge data science, preparing students to tackle complex policy and business challenges using quantitative tools. It is designed for graduates who want to become professional economists, analysts, or consultants, and who are eager to apply econometric and machine learning techniques to real-world problems.
Curriculum Structure
Year 1 (Semester 1)
Students begin with core modules in Microeconomics, Macroeconomics, and Econometrics, alongside training in Data Analytics for Economics. This foundation equips students with both the theoretical frameworks and the technical skills needed to analyze large datasets and evaluate economic policy.
Year 1 (Semester 2)
The focus shifts to applied modules such as Machine Learning for Economics, Applied Policy Analysis, and advanced Econometrics II. Students learn to design empirical studies, apply predictive modeling, and interpret results in the context of economic decision-making.
Focus Areas
Microeconomics, Macroeconomics, Econometrics, Data Analytics, Machine Learning, Policy Analysis.
Learning Outcomes
Graduates will master advanced economic theory, econometric modeling, and data science techniques, enabling them to critically evaluate policy, conduct independent research, and provide evidence-based solutions in government, business, and international organizations.
Professional Alignment (Accreditation)
The MSc in Economics and Data Analytics is awarded at NFQ Level 9, ensuring international recognition and alignment with Ireland’s national qualifications framework.
Reputation (Employability Rankings)
UCD is ranked among the top 1% of universities worldwide and is Ireland’s leading economics department. Graduates of this program benefit from UCD’s strong reputation and employability outcomes, progressing into roles in government, consulting, finance, and international organizations.
One of the most exciting aspects of UCD’s MSc in Economics and Data Analytics is how it blends rigorous academic study with practical, hands-on training. Students don’t just learn theory — they actively apply econometric and data science tools, collaborate on group projects, and engage with industry professionals. The program is jointly offered by the UCD School of Economics and the UCD School of Mathematics and Statistics, ensuring you graduate with both the intellectual depth and the technical expertise employers demand.
To show you how experiential learning is embedded in this program, here are the specific opportunities and facilities available:
This experiential framework ensures that graduates leave not only with advanced theoretical knowledge but also with the ability to apply econometric tools, conduct independent research, and engage confidently with professional and academic communities.
Graduates of UCD’s MSc in Economics and Data Analytics are equipped with some of the most in-demand skills in today’s labour market, combining advanced economic theory with data programming, machine learning, and econometric analysis. Typical career paths include roles as data analysts in financial institutions, economic consultants in policy organizations, research economists in think tanks or government agencies, and business intelligence specialists in multinational firms. The program is designed to ensure strong employability outcomes and clear pathways into advanced study:
Further Academic Progression:
After completing the MSc in Economics and Data Analytics, students are exceptionally well-prepared to continue into PhD-level research either at UCD or at other leading international universities. The program’s emphasis on econometrics, machine learning, and supervised thesis work provides the foundation for doctoral study in economics, data science, or public policy. Many graduates leverage this pathway to pursue academic careers, advanced policy research, or specialized consultancy.



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