Department of Biostatistics & Data Science

Biostatistics - MS

Advance your training in statistical theory and a variety of statistical and computational methods for application in medicine and public health


The mission of the Biostatistics Program within the Department of Biostatistics and Data Science within the School of Public and Population Health at the University of Texas Medical Branch at Galveston is to prepare students to develop and apply data analysis tools that drive biomedical research. Students will demonstrate competency or strong proficiency in theory, application, critical thinking, communication (verbal and written) and computing. Advance your training in statistical theory and a variety of statistical and computational methods for application in medicine and public healthThese are learned skills that must be practiced and reinforced in classrooms, labs, consulting experiences, and research rotations. graduates in the MS program are expected to master the following competencies:

  1. Demonstrate a broad understanding of current statistical theory, methods, and practices in the health sciences
  2. Effectively collaborate on a research team
  3. Develop statistical designs for health science investigators
  4. Write computer programs for the management and analysis of data sets
  5. Prepare reports and publications resulting from health science studies
  6. Effectively communicate key statistical principles to a non-statistical audience

Biostatistics Program - MS

  • Career and Internship Opportunities

    As a graduate, you will be prepared for entry into the workplace in a variety of areas, including as:

    • Government organizations, hospitals, health care companies
    • Academia, research facilities
    • Pharmaceutical companies

    The Department of Biostatistics & Data Science also offers summer Internship opportunities for MS students. Interns can work up to 20 hours per week for the paid position during the summer internship.

  • Requirements and Curriculum
    The master’s degree requires a minimum of 36 credit hours of coursework. All courses are 3 credit hours unless otherwise indicated.

    Required courses:

    • Biostatistics
    • Introduction to Probability Theory
    • Introduction to Linear Models
    • Categorical Data Analysis
    • Statistical Consulting (1 credit)
    • Correlated Data Analysis
    • Survival Analysis
    • Data Management (1 credit)
    • Consulting Practicum (1 Credit)
    • Capstone

    Elective courses:

    • Clinical Trials
    • Introduction to Epidemiology
    • Survey Methods
    • Introduction to Machine Learning
    • Introduction to Big Data Visual Analytics
    • Foundations of Medical Informatics
    • Biomedical Informatics: Applied
    • Health Services Research Analyses (2 credits)
    • Epidemiology Methods
    • Research Rotation
    • Public Health Informatics

     For more information, please see MS Biostatistics Track Curricular Plan.

Learn more:


Heidi Spratt, PhD
Program Director, Master of Science (MS) in Biostatistics

Christina Johnson
Coordinator, Student Recruitment & Admissions
(409) 747-7584