Enter OTP
A combined major blending core economics with deep statistical training. Designed for students aiming for careers in empirical research, data science, or econometrics.
Curriculum Structure
Years 1–2: Core Foundations
Calculus and probability
Introductory micro and macro
Introductory statistics and computing
Years 3–4: Applied Statistical Economics
Advanced econometrics and statistical inference
Statistical computing and data methods
Economics electives using empirical techniques
Capstone project or senior seminar
Focus Areas
Econometrics and statistical analysis
Statistical modeling & computing
Policy and business data analytics
Causal inference and forecasting
Learning Outcomes
Conduct empirical economic research and data analysis
Use statistical software to interpret datasets
Prepare for data-driven roles or graduate study
Accreditation & Reputation
Offered jointly by Carnegie Mellon’s Economics Program and Department of Statistics & Data Science
This data-driven program, also in Dietrich College, blends statistical science with economic applications, ideal for students eyeing data analytics, policy, or finance.
Experiential learning includes:
Deep use of R, Python, SQL, and SAS in courses focused on regression, forecasting, and machine learning.
Group work using real-world economic and social datasets.
Access to CMU’s Data Application Labs and collaborations with the Heinz College for public policy projects.
Opportunities to publish or present research through senior seminars or independent studies.
Strong placement support for internships in analytics, banking, and consulting.
CMU’s BS in Economics and Statistics is designed for data-driven thinkers aiming to work at the intersection of economic analysis and statistical modeling. Graduates are well-prepared for roles like data analyst, econometrician, policy analyst, and quantitative researcher. Here's how CMU sets you up for success:
The Career & Professional Development Center connects students with industry giants through career fairs, tailored coaching, and elite recruiting pipelines.
Over 94% of CMU students are employed or in grad school within six months, with average starting salaries often exceeding $85,000 in this program.
CMU maintains close partnerships with tech firms, finance institutions, and government research organizations—ideal for internships and post-grad opportunities.
The program is accredited by MSCHE and built around cutting-edge quantitative training in collaboration with CMU’s world-renowned statistics department.
Students gain hands-on experience using Python, R, and Stata for data analysis, making them highly competitive in today’s job market.
Further Academic Progression:
Graduates frequently pursue graduate degrees in statistics, economics, data science, machine learning, or top MBA and public policy programs.
Online Application required, 3 letter of recommendation, Unofficial Transcripts, Statement of Purpose, Personal statement, CV or ResumeStatistician – Apply statistical methods to economic data in research firms or government agenciesRisk Analyst – Identify and minimize risks using probabilistic models in financial servicesMarket Research Analyst – Study market conditions and economic trends to guide business strategiesEconometrician – Use economic theory and statistical tools to forecast trends for consultancies or think tanks
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Carnegie Mellon University
