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The fields of mathematics and statistics serve as essential instruments across various economic disciplines. The combined Economics & Mathematics degree program is designed to equip students with core competencies in both areas, emphasizing curricular alignment with their shared objectives. This interdisciplinary major caters to economics students drawn to mathematical methodologies, as well as mathematics students seeking economic applications. It offers dual-subject accreditation while maintaining flexibility for elective coursework. The curriculum mandates rigorous mathematics classes alongside advanced economic theory and econometric studies.
Program Objectives
Cultivate comprehensive knowledge of economic models' theoretical and mathematical frameworks, enabling students to construct economic representations of real-world scenarios and policy decisions. This involves advanced study in mathematical probability and statistics to accurately model the probabilistic environments governing decision-making processes and policy assessments.
Achieve specialized proficiency in one or more economic subfields.
Identify relevant data sources for global event analysis and employ suitable econometric techniques for data interpretation.
Master optimization principles, especially constrained optimization methods, applying these techniques to both microeconomic (price theory) and macroeconomic examinations. The program includes instruction in calculus, linear algebra, and statistical decision-making approaches.