MS in Quantitative Economics and Predictive Analytics
Study and implement industry-leading data analysis and model-building from professionally connected faculty in a nationally-ranked program. Join our community of students, faculty, and alumni who are active in non-profit, corporate, and government arenas.
Join Us for Our Next Event
MS in Quantitative Economics and Predictive Analytics Online Information Session
Wednesday, Apr. 1, 2026 at
12:00 - 1:00 pm
Quick Facts
| Program Units 30 (10 courses) |
| Duration 11 months (full-time) |
| Flexibility On-campus courses Full-time or part-time course load |
| Course Availability Year-round in five 8-week terms |
Locations
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| Program Costs |
Gain In-Demand Skills + Expert Mentoring
Move with the market. Understand, build and implement data-driven and/or causality-driven approaches to data analysis and model-building. Write computer programs (including Copilot & other AI tools) to analyze data, build machine-learning models, implement data-driven prediction systems, calculate and analyze forecasts, and to implement multi-platform, multi-equation forecast systems.
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Let us know you're interested and we'll connect with you.
Our Reputation
- Designated as a Certified Forecaster Program by The International Institute of Forecasters (IIF)
- Ranked #6 in the nation in Financial Economics
- Accredited by the Western Association of Schools and Colleges (WASC) and ACBSP
Program Benefits
- Designed to allow you to complete the program in as little as one year. View course schedule
- Skills acquired by the program are highly sought after by industry and government alike.
- Close affiliation with award-winning, nationally recognized Center for Economic Research and Forecasting (CERF).
Career Directions
Our students go on to work for high-profile companies in a range of industries, including:
- Amazon
- Spotify
- CA-EDD
- Decker
- LVMH
- Amgen
- U.S. Bank
- Neustar
- Petsmart
- Moody's
- State Street
- Optum Health
Did you know?
Cal Lutheran is ranked as a Top 10 Best Value School among Regional Universities in the West.
U.S. News & World Report, 2025
Alan ScallyAt Spotify, my team and I forecast and run regressions on just about everything, and the insights that we have provided, have shaped both the directions of the customer service department and supported some of the insights that other teams had with respect to campaign management. My degree allows me to work with my team on equal footing and have a strong background when presenting results to leadership.
Workforce Management Associate Director, Spotify