MS in Applied Statistics and Data Science

APU’s M.S. in Applied Statistics and Analytics program prepares students for careers in Big Data-related fields.

The MS in Applied Statistics and Data Science program provides professional preparation for careers involving the use of data analysis to inform decisions. The program includes required courses providing a foundation in statistical methods and theory, and electives that allow students to emphasize biostatistics or business analytics and explore a variety of statistical models and techniques for analyzing data. Expertise in the use of statistical software packages is developed. In keeping with the mission of Azusa Pacific University, this program encourages an active conversation about the role of a Christian perspective in the field of applied statistics, particularly in terms of ethical issues prevalent in data science.


Core Courses
STAT 501Introduction to Modeling with Probability3
STAT 511Applied Regression Analysis3
STAT 521Statistical Computing and Programming3
STAT 542Applied Logistic Regression and Survival Analysis3
STAT 592Ethics in Data Analytics2
Culminating Experience
STAT 597Statistical Consulting Practicum4
STAT 598Culminating Project4
Optional, Recommended Course
STAT 596Practicum 11
Elective Courses9-12
Calculus Fundamentals for Statistics 2
Linear Algebra Fundamentals for Statistics 2
Analysis of Variance
and Analysis of Variance Lab
and Regression Lab
Psychometrics: Assessment and Measurement
and Psychometrics: Assessment and Measurement Lab
Mathematical Statistics
Analysis of Variance and Design of Experiments
Epidemiology Research Methods
Applied Longitudinal Data Analysis
Data Visualization
Time Series Analysis and Forecasting
Data Mining
Applied Multivariate Analysis
Applied Bayesian Analysis
Applied Nonparametric Statistics
Discrete Data Analysis
Applied Survey Sampling
Special Topics in Applied Statistics
Total Units31-34

This is an optional practicum course; may be repeated for 0 units.


Does not count toward elective credit; required if not taken previously.


University graduate admission and program-specific requirements must be met before an application is complete (see Admission to the University). Program-specific application requirements are available online.

International students should contact Graduate and Professional Admissions for application procedures.

Program Learning Outcomes

Students who successfully complete this program shall be able to:
  1. Master fundamental probability models and the statistical theory and methodology required to draw appropriate inferences from data.
  2. Demonstrate the ability to analyze data by appropriately fitting, assessing, and interpreting a variety of statistical models in real-world interdisciplinary problems.
  3. Employ appropriate statistical software for the management and analysis of data.
  4. Communicate the results of statistical analyses effectively both orally and in writing to a broad audience.
  5. Critically assess the appropriateness and validity of the statistical applications and methodology involved in published studies.
  6. Effectively function in an interdisciplinary collaborative environment using the skills of a professional statistician to support decision making.
  7. Articulate ethical issues in data analysis and how Christian perspectives relate to the profession of statistics.