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

 

About the Program

The MS program 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 learn advanced statistical techniques, data management, and the use of statistical software to design studies, perform analysis and interpret results of multivariate health and biomedical data to improve health outcomes. Students can enhance their skills through graduate certificates in one of the following areas, or create their own plan in consultation with the academic advisor: 

1. Health analytics
2. Population health informatics
3. Health systems leadership
4. Population health 

Program Flyer - PDFRequest InformationInformation Session

 

Connect with our Admissions Team

The program is suitable for students with a strong background in mathematics, statistics, or related fields who are interested in enhancing their skills in statistical methods, health, biomedical and clinical research, and health and healthcare analytics. 

Briana McNeil, MEd
Coordinator, Recruitment and Admissions
sphadmissions@memphis.edu
(901) 678-3740

 

Admission Information

• Completed SOPHAS application
• An undergraduate degree from an accredited university with GPA of at least 3.0 preferred.
• Personal statement on career interests in healthcare administration. (< 500 words)  
• CV/Resume
• Two (2) letters of recommendation
• International applicants
  • The University of Memphis accepts evaluated coursework from agencies certified by National Association of Credential Evaluation Services) or Association of International Credential Evaluators. SpanTran and IEE are our recommended international transcript evaluation services. They have created a custom application for the University of Memphis that will help you select the right kind of evaluation at a discounted rate. You can access their application here: SpanTran Application – University of Memphis or IEE – University of Memphis Application 
  • Evidence of English language proficiency according to the University of Memphis Graduate School requirements

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

The program requires a total of thirty six (36) credit hours as follows:(a) 

• 6 credit hours of core courses 

• 21 credit hours of biostatistics courses 

• 6 credit hours of elective courses 

• 3 credit hours of culminating experience 

Core Courses (6 credit hours) 

• PUBH 7170 Epidemiology in Public Health I 

• PUBH 7180 Foundations of Public Health 

Biostatistics courses (21 credit hours) 

• PUBH 7150 Biostatistical Methods I 

• PUBH 7152 Biostatistical Methods II(b) 

• PUBH 7311 Applied Categorical Analysis(c) 

• PUBH 7309 Applied Survival Analysis in Public Health(c) 

• PUBH 7310 Mixed Model Regression Analysis(c) 

• MATH 6636 Introduction to Statistical Theory 

• MATH 7654 Inference Theory 

Electives (6 credit hours) 

• Two (2) 3 credit hours graduate level courses in consultation with faculty advisor 

Culminating Experience (3 credit hours) 

• PUBH 7992 Master’s Project Seminar OR 

• PUBH 7996 Master’s Thesis 

(a) Graduate students must maintain a minimum of a 3.0 GPA ("B"). Grades of "D" and "F" will not apply toward any graduate degree but will be computed in the GPA. No more than 7 hours of "C-," "C" or "C+" will be applied towards meeting degree requirements.  

(b) PUBH 7150 is the pre-requisite for PUBH 7152 

(c) PUBH 7152 is the pre-requisite for PUBH 7309, PUBH 7310 and PUBH 7311. 

 

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