Program Overview

Program Overview

The Master of Science in Applied Psychology Data Analytics is designed to provide students with the knowledge and skills necessary to collect, analyze, and interpret large data sets in the field of psychology. The program focuses on the application of statistical and computational methods to understand human behavior and decision-making.

Admission Requirements

Applicants must have a bachelor's degree in psychology or a related field and a minimum cumulative GPA of 3.000 (based on a 4.000 scale). They must also submit official GRE scores.

Program Requirements

The Applied Psychology Data Analytics program requires a minimum of 30 credit hours. The program consists of the following courses:

• PSYC 5001 Introduction to Data Analytics - 3 hours
• PSYC 5002 Statistical Methods in Psychology - 3 hours
• PSYC 5003 Data Visualization - 3 hours
• PSYC 5010 Research Methods in Psychology - 3 hours
• PSYC 5011 Advanced Data Analytics - 3 hours
  • Total Credit Hours: 15 hours are listed, but the program requires a minimum of 30 credit hours.

Graduation Requirements

Students must complete all program requirements with a minimum cumulative GPA of 3.000 (based on a 4.000 scale). They must also complete a capstone project and pass a comprehensive exam.