Overview

The School of Community of Global Health offers a Master of Science (M.S.) in Applied Biostatistics, which emphasizes the statistical methods commonly used in biomedical and public health research.

This program is offered [in-person/online] and can be completed in [unit of time] of full-time attendance. 

Program Outcomes

The program provides instruction to:

• Apply basic and advanced principles and methods to design experimental and observational studies in the areas of biomedical and public health research;
• Describe key concepts and theory underlying biostatistical methodology used in probability and inferential and descriptive statistics;
• Employ appropriate statistical approaches and techniques to analyze and summarize biomedical and public health data;
• Develop solid programming and data management skills with common statistical software packages for data analysis;
• Interpret the results of statistical analysis in the context of biomedical and public health research; and
• Communicate biostatistical concepts and pivotal aspects of study design, data management and analysis, results, and conclusion to lay and professional audiences through oral and written communications

Degree Requirements

A minimum of 38 units are required for the degree. Additionally, students must complete Supervised Filed Practical Training. 

Coursework

Core Courses (30 units)

• CGH 301 - Biostatistics (4 units)   
• CGH 302 - Epidemiology (4 units)   
• CGH 312 - Data Analysis (SAS) (4 units)   
• CGH 313 - Research Methods (4 units)   
• CGH 330 - Categorical Data Analysis (4 units)   
• CGH 331 - Multilevel and Longitudinal Data Analysis (2 units)   
• CGH 332 - Statistical Programming with R (2 units)   
• CGH 333 - Statistical Methods in Modern Genetics and Epidemiology (4 units)   
• CGH 340 - Supervised Field Practical Training (2 units)   

Electives (8 units)

Students may select any combination of courses from the list below:

• CGH 336 - Statistical Methods in Genome-wide Association Studies in the Post-GWAS Era (4 units)   
• CGH 401A - Advanced Statistical Methods I (4 units)  
• CGH 401B - Advanced Statistical Methods II (4 units)   
• CGH 419 - Qualitative Methodology in Public Health (4 units)  
• IST 344 - Data Analytics and Information Visualization (4 units)   
• IST 380 - Introduction to Health Informatics (4 units)   
• MATH 352 - Nonparametric Statistics (4 units)   
• MATH 466 - Advanced Big Data Analysis (4 units)   
• PSYCH 315F - Factor Analysis (2 units)  
• PSYCH 315H - Structural Equation Modeling (SEM) (2 units)  
• PSYCH 315NN - Bayesian Statistics (2 units)  

School of Community and Global Health (SCGH) Practical Experience Milestone

Students pursing a Master of Science in Applied Biostatistics must meet the Practical Experience Milestone by completing a supervised field training experience within an approved agency or research project (paid or unpaid, for credit or not for credit).

Students must have their milestone approved by the School prior to the submission of their completed Final Approval Form. This milestone is to be completed during the time to degree at CGU (7 years for doctoral students, 5 years for masters students). Students may have a maximum of 4 years of experience for the Practical Experience Milestone.

Transfer Credit

The University’s policy on transfer credit applies. The MS program permits the transfer of up to 6 semester units from prior graduate work completed outside of CGU with advisor approval.