Program Overview

MS in Quantitative Economics and Predictive Analytics

The MS in Quantitative Economics and Predictive Analytics is a graduate program designed to provide students with advanced training in machine learning, predictive analytics, and econometric modeling. The program is offered by California Lutheran University and is designed to be completed in one year.

Program Outcomes

The program aims to provide students with the skills and knowledge necessary to succeed in data-driven fields. Upon completion of the program, students will be able to:

• Analyze diverse data structures and build models that produce meaningful insights
• Leverage causality and data patterns in model design
• Use modern prediction techniques, including machine learning and deep learning, to build robust data-driven analysis systems
• Structure models for scenario analysis
• Communicate complex ideas and results effectively

Reputation and Rankings

The program is designated as a Certified Forecaster Program by The International Institute of Forecasters (IIF) and is ranked #6 in the nation in Financial Economics. The university is accredited by the Western Association of Schools and Colleges (WASC) and ACBSP.

Courses

The program consists of 10 courses, including:

• Micro Theory, with Implications and Applications
• Macro Theory, Measurement, and Empirics
• Economic Policy Analysis
• Statistics, the Classical Model, Identification, and Causal Inference
• Advanced Techniques and Extensions of the Classical Model
• Time-Series Analysis, Inertial Forecasting, and Cointegration Modeling
• Causal Multi-Equation Modeling, Scenario Forecasting, and Error Analysis
• Financial Economics (Theory and Application of Financial Market Value)
• Foundations of Analytics and Data Science
• Advanced Machine Learning and Predictive Analytics

Course Schedule

The program is offered in five 8-week terms, with students typically starting in the Fall term. The suggested course sequence for students wishing to complete the program in one year is:

• Term 1: Micro Theory, with Implications and Applications, and Statistics, the Classical Model, Identification, and Causal Inference
• Term 2: Macro Theory, Measurement, and Empirics, and Advanced Techniques and Extensions of the Classical Model
• Term 3: Foundations of Analytics and Data Science, and Time-Series Analysis, Inertial Forecasting, and Cointegration Modeling
• Term 4: Advanced Machine Learning and Predictive Analytics, and Financial Economics (Theory and Application of Financial Market Value)
• Term 5: Economic Policy Analysis, and Causal Multi-Equation Modeling, Scenario Forecasting, and Error Analysis

4+1 Option

The program offers a 4+1 option, which allows undergraduate economics, math, or data science majors at California Lutheran University to earn their MS in Quantitative Economics and Predictive Analytics in only one year. Students can take graduate courses during their senior year and save time and money.

How to Apply

Admission to the program is based on a review of the applicant's file, including:

• A completed application and non-refundable application fee
• Official transcripts from a regionally accredited college or university verifying the applicant's bachelor's degree or equivalent with a GPA of 3.0 or higher in upper division undergraduate work
• Personal statement
• Graduate program advisement with an admission counselor
• Prerequisites, including calculus, statistics, econometrics, and computer programming

Tuition and Fees

The tuition for the program is the regular tuition per credit for MQEA courses at California Lutheran University. During the senior year, graduate courses will be included in the normal tuition as long as the student takes 12 undergraduate credits and does not exceed 18 total credits per term.