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
|
| 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
Pooja MaheshwariThis program made me detail-oriented and able to work under tight guidelines and schedules. I also had the opportunity to work at the Center for Economic Research and Forecasting (CERF) as a Graduate Assistant. I worked with spreadsheets, data collection, analysis and presentation of data, and rational assumptions that go into an analysis. Being an international student, I learned how things are done in the U.S. and that has made me a more confident professional.
SAP FICO Analyst, Haas Automation Inc.