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School of Public Health

Master of Science (MS) in Biostatistics with concentration in Biostatistics

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About the Program

The MS program in Biostatistics with concentration in Biostatistics provides in-depth training on biostatistical analytical tools and their related theoretical background and prepares students to design, analyze and interpret complex biomedical and health data to contribute to evidence-based decision-making. The program may be completed full-time (in four semesters) or part-time (completion varies) on-campus.

Students can enhance their skills through graduate certificates in one of the following areas, or create their own plan in consultation with an academic advisor:

  • Health Analytics
  • Population Health Informatics
  • Health Systems Leadership
  • Population Health

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Connect with our Admissions Team

Graduates of the program are employed in federal, state and local health departments, pharmaceutical companies, nonprofit organizations and hospitals as biostatisticians, clinical trials investigators or pursue doctoral studies. Is this degree for you? 

  • Students with a strong background in mathematics, statistics, or related fields who are
    interested in enhancing their skills in statistical methods, computing algorithms.
  • Those looking for the best analytical approaches
    in health, biomedical and clinical research.
  • Professionals in health and healthcare analytics

Meredith Ray, PhD
Associate Professor and Program Coordinator
maray@memphis.edu
901.678.5390

Briana McNeil, MEd
Coordinator, Recruitment and Admissions
sphadmissions@memphis.edu
901.678.3740
Shirl Sharpe, MS
Academic Services Coordinator II SPHadvising@memphis.edu
901.678.1710

Admission Information

  • Completed 
  • Undergraduate degree with minimum GPA of 3.0 and have completed Calculus I and Calculus II with a grade of B or
    higher.
  • Curriculum Vitae/Resume
  • Statement of purpose (400-500 words)  
  • Two (2) letters of recommendation
  • Credentials evaluation for foreign transcripts
    • ÃÛÌÒµ¼º½ accepts evaluated coursework from agencies certified by ) or . SpanTran and IEE are our recommended international transcript evaluation services. They have created a custom application for the University of ÃÛÌÒµ¼º½ that will help you select the right kind of evaluation at a discounted rate. You can access their application here:  or  
  • Language proficiency test if language of instruction was not English

Deadlines 

International applicants should plan to have their applications by May 15 for Fall Semester and October 15 for Spring Semester to ensure sufficient time to receive your Form I-20 and visa. 

  • Fall Semester – August 15(a)
  • Spring Semester – January 15(a) 

Curriculum

Students learn to develop and apply advanced statistical and data analysis methods to model complex biological processes and their coupling with socioeconomic and environmental determinants.

  • CORE COURSES - 6 CREDIT HOURS
    • PUBH 7170 | Epidemiology in Public Health I
    • PUBH 7180 | Foundations of Public Health
  • CONCENTRATION COURSES - 21 CREDIT HOURS
    • MATH 6636 | Introduction to Statistical Theory
    • MATH 7654 | Inference Theory
    • PUBH 7150 | Biostatistical Methods I
    • PUBH 7152 | Biostatistical Methods II
    • PUBH 7309 | Applied Survival Analysis in Public
      Health
    • PUBH 7310 | Mixed Model Regression Analysis
    • PUBH 7311 | Applied Categorical Analysis
  • ELECTIVE COURSES - 6 CREDIT HOURS
    • In consultation with faculty and/or academic
      advisors
  • CULMINATING EXPERIENCE - 3 CREDIT HOURS
    • PUBH 7992 | Master’s Project Seminar OR
    • PUBH 7996 | Master’s Thesis

Competencies

  • Summarize public health data using statistical methods appropriate for the distribution of these data
  • Explain the rationale for common biostatistical methods
  • Evaluate preferred methodological alternatives to commonly used statistical methods when assumptions are not met
  • Use statistical software to analyze clinical and public health data given appropriate for the given study design
  • Effectively communicate the results of statistical analyses in writing and in oral presentation