Economics and Data Science MSc, individuals will assimilate understanding regarding data science methodologies extensively employed within the purview of economic analysis, including Lasso, random forests, and supervised learning.
Participants will engage in specialized modules focused on imparting crucial techniques, encompassing machine learning methodologies and coding, decision-making within an economic context, and their applicability in economics. A comprehensive range of electives is available, tailored to align with individual interests and career aspirations. Additionally, a dissertation centered on the economics of big data is required.
Upon completing the advanced degree in economics and data science from the University of Nottingham, graduates will be equipped with the requisite theoretical knowledge, practical competencies, and self-assurance necessary to differentiate themselves in the job market and advance their careers as professional economists, policymakers, or academic researchers.