Graduate Certificate In Health Analytics

Objectives

The goal is to provide working public health and healthcare professionals with formal training in health analytics and skills necessary to engage in population health delivery in the changing landscape of health reform. The certificate program will be open to all health professionals, medical professionals, allied health professionals, and students with interest in health analytics in West Tennessee and across the nation. The courses will be available in person and some online. Students can possibly apply the credits toward MPH/MHA degree. Graduates of the certificate program will be prepared to:

  • Collaborate with health-related researchers on projects that require statistical expertise for data analyses
  • Apply established biostatistical methods to analyze health and healthcare related data for individuals, community, or institutions (e.g., Hospitals), or health-related industries (e.g., pharmaceutical companies) and interpret the findings
  • Effectively summarize and analyze hospital data such as electronic medical records, health care quality metrics, and health care costs
  • Apply advanced data mining techniques to examine and analyze large data sets
  • Implement statistical predictive models to assess health risks and identify risk factors
  • Gain skills in data management, understand the process of dealing with large disparate data, and be able to use  advanced SAS/R programming techniques to analyze high-dimensional data

ADMISSION REQUIREMENTS

Students must have completed a bachelor's degree with a preferred cumulative grade point average of at least 3.0, and apply for admission to the University of Memphis Graduate School as a non-degree seeking student, selecting Graduate Certificate in Health Analytics from the drop-down menu.  Acceptance into the certificate program is not an implied acceptance into any master's degree program. The following is required:

  1. Transcripts of undergraduate degree program and any prior graduate study; to be submitted to the University of Memphis Graduate School.
  2. A completed application formand a one-page letter describing the applicant's intent to pursue the certificate, and its relevance to his/her career goals; to be submitted to the Academic Services Coordinator II (contact information is provided below).
  3. Applicants for whom English is not the primary language are required to meet the University's minimum TOEFL score.

Certificate and graduation REQUIREMENTS

Students must complete the five courses listed below (3 credit hours each, 15 total credits hours) with a minimum grade of B in each course.  All five courses must be completed within five (5) years of enrollment. In the semester of graduation, the student must submit the Intent to Graduate form to the University of Memphis Graduate School and a Graduate Certificate Candidacy form to the School's Director of Graduate Studies by the deadline specified by the University of Memphis Graduate School.

          1.            PUBH 7150           Biostatistical Methods I
          2.            PUBH 7152           Biostatistical Methods II
          3.            PUBH 7308/8308           Applied Multivariate Statistics
          4.            PUBH 7190            SAS Programming for Public Health Professionals I
          5.            PUBH 7104/8104           Large Data Sets


For students who have already taken one or more of the above courses or equivalence prior to entering the Certificate program, following is a list of 6 elective classes from which students can choose to meet the 15 credit hours requirement (for example, if a student has already taken SAS I, the student might wish to take SAS II to further develop their analytic skills):

          1.            HADM 7109/8109           Health Information Systems
          2.            PUBH 7153/8153           Biostatistics in Bioinformatics
          3.            PUBH 7191           SAS Programming for Public Health Professionals II
          4.            PUBH 7309/8309            Applied Survival Analysis in Public Health
          5.            PUBH 7310/8310           Mixed Model Regression Analysis
          6.            PUBH 7311/8311           Applied Categorical Data Analysis

For more information, or to apply, please contact:

Shirl Sharpe, MS, Academic Services Coordinator II
225 Robison Hall
901.678.1710
Shirl R Sharpe, ssharpe@memphis.edu