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
Learn moreApplication deadlines
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 6, 2026 from 12 p.m. to 12:45 p.m.
DSHB Program Pop-In: Faculty Spotlight
Get to know João Guassi Moreira and learn more about his work, expertise, and role in the Data Science in Human Behavior program.
Register now →October 21, 2026 from 6 p.m. to 6:30 p.m.
Career Outlook: MS Learning Analytics
Join Program Director Julia Rutledge to learn more about career options for students in the MS in Learning Analytics program.
Register now →November 10, 2026 from 12 p.m. to 12:45 p.m.
DSHB Program Pop-In: Application Assistance
Join Enrollment Coach Emma Davis for guidance on the application process, requirements, and tips for putting together a strong application.
Register now →November 11, 2026 from 6 p.m. to 7 p.m.
Program Overview: MS Learning Analytics & MS Education: Instructional Coaching
Join Julia Rutledge and Lisa Hebgen, the program directors for the MS in Learning Analytics and the MS in Education: Instructional Coaching for overviews of their programs. You’ll learn more about the curriculum, application process, and career paths, as well as similarities and differences between the two programs.
Register now →December 9, 2026 from 6 p.m. to 6:30 p.m.
Program Overview: MS Learning Analytics
Join Program Director Julia Rutledge to learn more about the MS in Learning Analytics program, including curriculum, application process, scholarships, and career paths.
Register now →January 19, 2027 from 12 p.m. to 12:45 p.m.
DSHB Program Pop-In: Data Industry Panel
Hear from professionals working in the data industry about their career paths, experiences, and the skills they use every day. Learn how a degree in Data Science in Human Behavior can prepare you for a range of career opportunities.
Register now →February 9, 2027 from 12 p.m. to 12:45 p.m.
DSHB Program Pop-In: International Student Experience
Learn what it’s like to pursue the Data Science in Human Behavior program as an international student. Hear firsthand about the experience, challenges, opportunities, and resources available to students.
Register now →February 10, 2027 from 6 p.m. to 6:30 p.m.
Career Outlook: MS Learning Analytics
Join Program Director Julia Rutledge to learn more about career options for students in the MS in Learning Analytics program.
Register now →March 10, 2027 from 6 p.m. to 6:30 p.m.
Student Panel: MS Learning Analytics
Join students from the MS in Learning Analytics program to learn about their experiences. Ask questions and see if the program is a good fit for you!
Register now →Results that work for you
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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Connect with an enrollment coach
Our friendly, knowledgeable enrollment coaches are here to help you explore your options and answer your questions. Connect with us to:
- Explore your program options
- Review courses and outcomes
- Check eligibility requirements
- Get help with your application
- Learn about financial aid