Enter OTP
A quantitative economic major emphasizing statistical methods and data analysis. Suited for careers in econometrics, data science, and empirical research.
Curriculum Structure
Years 1–2: Core Foundations
Micro and macroeconomics
Calculus and probability
Introductory statistical theory and computing
Years 3–4: Statistical Emphasis
Econometrics and regression analysis
Statistical modeling and experimental design
Electives in machine learning, causal inference, or time series
Capstone data analysis project or internship
Focus Areas
Econometrics and statistical inference
Data-driven economic research
Advanced statistical techniques
Learning Outcomes
Conduct empirical economic research using statistical tools
Evaluate causal relationships and forecast trends
Prepare for roles in data science, analytics, or graduate study
Accreditation & Reputation
Regionally accredited by NWCCU; strong collaboration with the Department of Statistics and active data research centers
This track is heavily focused on quantitative tools for students interested in econometrics, data science, or research careers.
Experiential learning includes:
Courses that emphasize data collection, analysis, and interpretation using Stata, R, SAS, and Python.
In-depth projects involving large-scale economic datasets and statistical modeling.
Participation in research clusters and faculty-led empirical projects via the Economics Department Lab.
Strong emphasis on reproducible research and statistical reporting techniques.
Access to the Quantitative Analysis Center and university-wide statistical software support.
This track is ideal for students who want to harness statistical and quantitative tools to solve complex economic problems. Graduates are highly sought after as data analysts, economic researchers, statistical consultants, or forecasting specialists. The university helps you succeed through:
David Eccles School of Business Career Services provides direct access to internship pipelines, on-campus recruiting, and one-on-one guidance focused on data-heavy roles.
More than 90% of graduates are employed or pursuing advanced degrees within six months; starting salaries often range between $60,000–$75,000, especially in roles involving statistics or data analytics.
The University of Utah maintains partnerships with employers like Zions Bank, Goldman Sachs, and Qualtrics, as well as government agencies for research and analysis roles.
Accredited by the NWCCU and the AACSB, guaranteeing long-term recognition of your degree across academic and professional spheres.
Curriculum emphasizes econometrics, statistical programming, forecasting models, and applied economic research, giving students hands-on experience with real-world datasets.
Further Academic Progression:
Graduates are well-prepared for master’s programs in statistics, econometrics, public policy, or economics, and some move directly into PhDs or data science graduate tracks.
Complete Online Application, An official high school transcript, Test scores: ACT, SAT, IELTS, TOEFL, Personal Achievements and CharacteristicsStatistician – Apply statistical techniques to analyze economic and market dataEconometrician – Build models to study economic relationships and forecast trendsQuantitative Research Analyst – Support data-driven economic research in finance or policyRisk Analyst – Use statistical tools to assess and reduce uncertainty in financial decisions
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University of Utah
