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The MS in Applied Biostatistics is designed for those wanting a competitive edge in a fast-growing professional field.

Biostatisticians play a critical role in a research team to help study design, quantitative data acquisition, management and analysis, interpretation, and presentation of research findings in biomedical and public health research fields. According to the Bureau of Labor Statistics, the field of biostatistics has a projected growth rate of 33% from 2019-2029. With a degree in applied biostatistics, you will be prepared for a career in public or private health organizations, government health organizations, hospitals, universities, pharmaceutical companies, and health insurance companies, among others.

Program Highlights

Program at a Glance

UNITS
38 units (30 core, 8 elective)

ESTIMATED COMPLETION TIME*
Full-time: 5 semesters
Part-time: 7-9 semesters

*Program completion times may vary depending on course registration, units transferred, and time to complete other degree requirements.

COURSES BEGIN
Fall | Spring

COURSE MODALITY
Online (Pending WSCUC Approval)

DEGREE AWARDED
MS in Applied Biostatistics

Please see the State Authorization page for availability of our online programs in the US.

Featured Courses

CGH 330
Categorical Data Analysis

Provides common methods and techniques used in analyzing the data with the outcome variable in the form of binary, multiple categories (i.e., ordinal or nominal), counts, and time-to-event responses. Introduces binary logistic regression, ordinal logistic regression, multinomial logistic regression, Poisson regression, Generalized Estimating Equation, and survival analysis.

CGH 331
Multilevel and Longitudinal Data Analysis

Provides common methods and techniques in multilevel analysis for clustered and longitudinal continuous and binary outcomes that are frequently used in public health and behavioral science research.

CGH 333
Statistical Methods in Modern Genetics and Epidemiology

Introduces basic concepts in molecular epidemiology, quantitative genetics, and basic statistical methods for genetic data analysis. Provides the necessary background knowledge to understand research advancements in statistical genetics and molecular genetics.

CGH 334
Applied Survey Data Analysis

Offers common methods and techniques in complex survey data analysis frequently used in public health and behavioral science research. Covers fundamentals of complex survey design, variance estimation, design effects, descriptive analysis for continuous and categorical data, linear regression and logistic regression models for complex survey data.

CGH 335
Mediation and Moderation Analysis

Provides common methods and techniques in mediation, moderation and conditional process analyses that are frequently used in public health and behavioral science research.

CGH 336
Statistical Methods in Genome-wide Association Studies in the Post GWAS Era

Explores the latest methodology and computer tools in statistical genetics and genomics with contemporary topics in GWAS and post-GWAS era.

Curriculum

Core Courses (30 units)

  • Biostatistics (4 units)
  • Epidemiology (4 units)
  • Data Analysis (4 units)
  • Research Methods (4 units)
  • Categorical Data Analysis (4 units)
  • Multilevel and Longitudinal Data Analysis (2 units)
  • Statistical Programming with R (2 units)
  • Statistical Methods in Modern Genetics and Epidemiology (4 units)
  • Supervised Field Practical Training and Consultation (2 units)

Elective Courses (8 units)

  • Applied Survey Data Analysis (2 units)
  • Mediation and Moderation Analysis (2 units)
  • Advanced Statistical Method II (4 units)
  • Statistical Methods in Genome-wide Association Studies in the Post-GWAS Era (4 units)
Curriculum Highlight
Supervised Field Practical Training

As a student in the MS in Applied Biostatistics program, you will participate in a supervised professional applied practice course (Supervised Field Practical Training).

  • Enrich your training in biostatistics by applying theory and skills acquired in the classroom to a professional setting.
  • Contribute to an organization’s or company’s resources and specific projects while developing your personal confidence and leadership as a biostatistician.

 

Sample Schedule

Semester Courses Total Units
Fall CGH 301 Biostatistics (4 units)
CGH 302 Epidemiology (4 units)
8 units
Spring CGH 312 Data Analysis (4 units)
CGH 313 Research Methods (4 units)
8 units
Fall CGH 332 Statistical Programming with R (2 units)
CGH 330 Categorical Data Analysis (4 units)
Elective Course (2 units)
8 units
Spring CGH 331 Multilevel and Longitudinal Data Analysis (2 units)
CGH 333 Statistical Methods in Modern Genetics (4 units)
Elective Course (2 units)
8 units
Summer or Fall CGH 340 Supervised Field Practical Training (2 units)
Elective Course (4 units)
6 units

Faculty & Research

Request information about the Applied Biostatistics (Online) program

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Regina Wang Lee

Director of Recruitment for the School of Community & Global Health
T: 909-607-9417
E: regina.wang.lee@cgu.edu