Program Prerequisites: Educational Background: High school diploma or equivalent with coursework in Mathematics, Statistics, Economics, Computer Science, and English. Mathematical and Statistical Proficiency: Strong foundation in Algebra, Calculus, Linear Algebra, Probability, and Statistics for data modeling and quantitative analysis. Programming and Software Skills: Basic knowledge of programming languages like Python, R, SQL, and tools such as Excel, Tableau, MATLAB, or Stata. Analytical and Critical Thinking: Ability to analyze trends, interpret data, and develop data-driven strategies for solving economic and business problems. Communication Skills: Proficiency in English (TOEFL, IELTS, or equivalent for non-native speakers) for presenting reports, data visualizations, and economic models effectively. Research and Data Management Skills: Ability to conduct independent research, manage large datasets, and extract insights using data mining and statistical techniques. Interest in Economics and Technology: Enthusiasm for applying data science techniques to economic modeling, policy-making, and market analysis.