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
  • You will work with faculty on cutting edge projects such as identifying causal gene and biological networks related to human complex diseases; identifying novel drug targets with integration of genomic and microbiome studies; and developing novel prevention strategies for metabolic diseases.
  • You will participate in a field practical training with 200 hours of either practical research projects with CGU faculty or an outside internship experience.
  • You will learn appropriate statistical approaches to analyze biomedical/public health data and gain practical experience in interpretation and communication of biostatistical concepts and pivotal aspects of student design, data management/analysis, results, and conclusions.
  • You will develop solid programming and data management skills using common statistical software packages for data analysis.

Program at a Glance

UNITS
38 units (30 core, 8 elective)

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

*This estimate assumes full-time registration and pursuit of the degree. Actual completion times will vary and may be higher, depending on full- or part-time course registration, units transferred, and time to complete other degree requirements.

COURSES BEGIN
Fall | Spring

COURSE MODALITY
In-person | Hybrid | Online

DEGREE AWARDED
MS in Applied Biostatistics

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

  • Bin Xie profile image

    Bin Xie

    Professor of Community and Global Health
    Director of the Applied Biostatistics (MS) program

    Research Interests

    Obesity prevention; Tobacco control; Diet, physical activity, body image in adolescents; Psychological adjustment to obesity; Diabetes and cancer; Application of statistical analysis in prevention research

  • Jessica Clague DeHart profile image

    Jessica Clague DeHart

    Associate Professor of Community and Global Health

    Research Interests

    Epidemiology, chronic disease, cancer etiology, cancer survivorship, molecular and genetic epidemiology, lifestyle intervention trials, exercise, nutrition, quality of life, community-based interventions

  • Rachaline Napier profile image

    Rachaline Napier

    Clinical Associate Professor of Community and Global Health

    Research Interests

    Global Health, Epidemiology

  • Darleen V. Peterson profile image

    Darleen V. Peterson

    Professor of Practice, Community and Global Health
    Senior Associate Dean for Academic Affairs
    Director of the Certificate and Master of Public Health (MPH) programs

    Research Interests

    Evaluation of Health Communication Campaigns, Effects of Pro- and Anti-Tobacco and Alcohol Marketing; Public Health Education Accreditation

  • Yusuke Shono profile image

    Yusuke Shono

    Assistant Professor of Community and Global Health

    Research Interests

    Application of theories and models of cognitive processes; Implicit cognition and health behavior; Cognitive screening in clinical settings; Application of latent variable modeling in applied research; Measurement and validation in cognitive, behavioral, and health outcome assessment

Request information about the Applied Biostatistics program

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Brittany Galvez

Assistant Director of Admissions
T: 909-607-6728
E: brittany.galvez@cgu.edu