Economics and Computer Science: Program Overview, Universities, Careers & Salaries

Program Overview

Combining the analytical rigor of economics with the technical power of computer science, this interdisciplinary program equips students to solve complex real-world problems at the intersection of data, systems, and decision-making. Graduates emerge with a robust foundation in quantitative reasoning, computational modeling, and economic theory, prepared for advanced roles in technology, finance, policy, and research.

• Data Analysis: Techniques for interpreting large datasets to extract actionable insights, supporting evidence-based decision-making across industries.
• Database Design: Principles for structuring and managing data efficiently, ensuring integrity, scalability, and performance in information systems.
• Data Mining: Methods for discovering patterns and relationships within vast datasets using statistical and machine learning approaches.
• Computer Algorithms: Study of efficient problem-solving procedures and computational processes that form the backbone of software development and system optimization.
• Economics: Core theories of microeconomic and macroeconomic behavior, market dynamics, resource allocation, and policy impact.
• Econometrics: Application of statistical methods to economic data, enabling hypothesis testing, forecasting, and causal inference in real-world scenarios.
• Computer Programming: Hands-on development of software solutions using multiple programming languages and paradigms, emphasizing logic, structure, and implementation.
• Mathematics: Advanced mathematical foundations including calculus, linear algebra, and discrete mathematics essential for modeling complex systems.
• Statistics: Tools and techniques for data collection, analysis, interpretation, and inference, critical for validating models and measuring uncertainty.