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.
Want to learn more?
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
- IBM
- Amgen
- U.S. Bank
- Moody’s
- Penny Mac
- H & R Block
- JD Power
- Sallie Mae
- Capital One
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
Molly ClancyYou develop three important skills in this program: theory, mathematics, and programming. Theory is important, and you get plenty, but what sold me on the program was the hands-on aspect. A common complaint from employers these days is a lack of real-world experience. The classwork is project- and results-oriented. This experience, and the opportunity to work at the Center for Economic Research and Forecasting (CERF) alongside your professors... this program offers much more than just theory. Without the experience of really applying the material while still in school, I wouldn’t have had the options available to me afterwards. This program sets you apart.
Staff Analytics Manager, Google
