Quantitative Economics MS
Master of Science in Quantitative Economics
Is this program right for you?
Looking to apply economic analysis in tech or another industry? The MS in Quantitative Economics is ideal for those seeking in-demand skills in data analytics and machine learning to interpret economic data and advance in today’s data-driven job market.
- Complete our industry-focused, course-only program in just three semesters
- Build in-demand skills in machine learning and econometrics while learning to analyze economic data for business applications
- Gain specialized training for growing roles in tech companies, financial institutions and consulting firms
Education that works for you
The MS in Quantitative Economics program bridges economics with modern data analytics to prepare graduates for growing opportunities in quantitative analysis. This 30-credit degree develops expertise in machine learning and econometrics, training professionals for roles where economic insight meets advanced data science.
Program type
Master’s degree
Degree awarded
Master of Science in Quantitative Economics
Commitment
1-2 years
Tuition
$2,400 per credit
Format
Face-to-face
Credits
30 graduate credits
Offered by
STEM opt eligible
Yes
Supports F-1 Visa
Yes
Application deadlines
Fall 2026
- Deadline: March 1, 2026
Fall 2027
- Deadline: March 1, 2027
Fall 2028
- Deadline: March 1, 2028
Your questions, answered
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Admissions and events
Program requirements
Application materials required
October 21, 2025 from 9 a.m. to 9:30 a.m.
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Quantitative Economics MS
What you’ll learn
Develop proficiency in machine learning algorithms for economic modeling, advanced econometric methods for causal analysis and data analytics tools commonly used in industry. Electives offer specialized applications in areas such as health economics, international trade or energy markets.
- Data analytics
- Econometric Methods
- Machine learning
- Artificial intelligence
- Causal estimation
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