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4 Years On Campus Bachelors Program
Carnegie Mellon UniversityA joint major designed for students seeking rigorous training in economic theory and advanced mathematics. Ideal for those interested in PhD-level economics, mathematical finance, or quantitative modeling careers.
Curriculum Structure
Years 1–2: Core Foundations
Calculus sequence and linear algebra
Introductory and intermediate microeconomics & macroeconomics
Probability and statistics
Years 3–4: Advanced Theory & Mathematics
Real analysis and mathematical modeling
Advanced courses in economic theory
Electives from mathematical sciences (e.g., optimization, differential equations)
Senior seminar or capstone project
Focus Areas
Advanced mathematical economics
Quantitative economic modeling
Real analysis & probability
Mathematical finance & data science
Learning Outcomes
Build sophisticated economic models using mathematical rigor
Apply quantitative methods to finance, policy, or research
Prepare for PhD programs or technical roles in industry
Accreditation & Reputation
Offered jointly by Carnegie Mellon’s Undergraduate Economics Program and Department of Mathematical Sciences
Offered by the Dietrich College of Humanities & Social Sciences, this program is perfect for future economists who thrive on mathematical rigor and want to model complex economic systems.
Experiential learning includes:
Advanced coursework using Python, MATLAB, R, and Stata, integrated into econometrics and optimization modeling.
Research opportunities with CMU’s Quantitative Social Science Scholars (QSSS) program or faculty-led labs.
Collaborative projects in mathematical economics and game theory.
Access to the Statistics & Data Science Lab and Social and Decision Sciences Labs.
Internship and research pathways via CMU’s Career & Professional Development Center, often leading to Fed, tech, or finance roles.
Carnegie Mellon’s BS in Economics and Mathematical Sciences offers deep quantitative training for careers in data science, economic modeling, financial engineering, and academic research. Common job outcomes include data scientist, quantitative analyst, policy researcher, and actuarial specialist. Here’s how CMU supports your path:
The Career & Professional Development Center at CMU offers customized advising, tech and finance job expos, and strong alumni connections.
Around 94% of CMU graduates are employed or pursuing further education within six months, with average starting salaries near $85,000 for this program.
CMU is known for close ties with employers like Google, Goldman Sachs, Amazon, and government think tanks.
Accredited by the Middle States Commission on Higher Education (MSCHE), the program is widely recognized for its rigor and real-world relevance.
The program combines advanced math, statistics, and economic theory—making it a launchpad for technical careers or graduate studies.
Further Academic Progression:
Graduates often pursue PhDs in economics or applied mathematics, or master’s degrees in finance, data science, public policy, or quantitative fields like financial engineering.
Online Application required 3 letter of recommendationUnofficial TranscriptsStatement of Purpose, Personal statement, CV or ResumeFinancial Analyst – Evaluate investments corporate finance and market trends for banks or asset managersQuantitative Analyst – Build statistical models for pricing and risk assessment in investment firmsRisk Analyst – Assess and mitigate financial risks in banking or financial institutionsData Scientist – Analyze economic and financial data to inform strategic decisions in tech or finance
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