Carnegie Mellon University

Overview

The Bachelor of Science in Economics and Mathematical Sciences at Carnegie Mellon University offers a unique integration of advanced mathematics and rigorous economic analysis. This program equips students with essential skills for economic modeling, data-driven research, and quantitative finance, preparing them for a dynamic career in various sectors.

What you'll study

Core Curriculum

• Mathematical foundations for economics and quantitative analysis
• Core economics courses that emphasize analytical and data-informed reasoning
• Coursework in economics data and quantitative methods
• Electives tailored to individual interests, including areas such as mathematics, statistics, and other related quantitative fields

Typical Progression

• Year 1: Establish foundational knowledge in mathematics and introductory economics.
• Year 2: Advance analytical economics studies while continuing with higher-level mathematics.
• Year 3: Concentrate on economic modeling and quantitative methods.
• Year 4: Complete advanced courses and electives, fulfilling degree requirements through remaining coursework and any specified capstone or major requirements.

Electives

• Electives provide an opportunity to customize the degree according to academic and professional aspirations.
• Course selection is typically coordinated with academic advisors to ensure that all degree requirements are met.

Important Note

For the most accurate information, including specific course titles and any capstone or thesis requirements, please refer to the current Carnegie Mellon undergraduate program guidelines at the time of application.

Entry requirements

For admission into the Economics and Mathematical Sciences program, standardized tests such as the GRE or GMAT are not required. Prospective students should ensure they meet other standard undergraduate admission criteria set forth by Carnegie Mellon University.

Career prospects

Graduates of the Economics and Mathematical Sciences program are well-prepared for a variety of career paths in sectors such as finance, government, academia, and consulting. The combination of mathematical proficiency and economic analysis skills allows alumni to excel in roles that require data-driven decision-making and problem-solving capabilities.