Graduate Certificate in Population Health Informatics
About the Program
With the rapid pace of technological advancements, public health professions require a core set of informatics skills. Population health informatics tools and technologies are rapidly enhancing the capacity to translate growing population data into meaningful information that can inform actionable insights. Expertise in population health informatics is critical in supporting the activities of public health agencies toward building and sustaining information capabilities that meet evolving population health needs. The certificate program is open to all health professionals, medical professionals, allied health professionals, and students with interest in health analytics in West Tennessee and across the nation. It is comprised of five courses (15 credit hours) and the courses are available in person and some online. Students can possibly apply the credits toward the MPH/MS degree in SPH of UofM.
What will you learn?
This certificate program equips students with an in-depth understanding of informatics that supports the development of interventions addressing 21st century public health challenges. Students will acquire the skills necessary to apply technology at the intersection of clinical care and health sciences, strengthening preventive care at the population level.
Where to after graduation?
Upon graduation, it is expected that most students will work in fields related to public health, implementation science, and health technology innovations. Examples of employment titles graduates might hold include chief information officer, health informatics analyst, corporate health information officer, system analyst, project manager, system engineer, project developer, health informatics consultant, research associate, applied health informatics researcher, data analytics/data mining engineer, data sets/nomenclature and classification standards developer, and health information applications developer. Courses can possibly be applied to a Master degree program in public health in SPH of UofM.
Is this program right for you?
If you have completed your bachelor’s degree with a cumulative grade point average of at least 3.0 and have a strong motivation to improve health outcomes from the angle of informatics, this program may be right for you.
Connect with our Admissions Team
Briana McNeil, MEd
Coordinator, Recruitment and Admissions
sphadmissions@memphis.edu
(901) 678-3740
Shirl Sharpe, MS
Academic Services Coordinator II
ssharpe@memphis.edu
(901) 678-1710
Admission Information
Requirements:
- A Bachelor's degree is required for admission with a minimum GPA of 3.0.
- Statement of Purpose (approximately 500 words)
- Curriculum Vitae/Resume
- International students:
- Transcripts from degrees obtained outside of the United States must be evaluated by WES or by any members of the National Association of Credential Evaluation Services
- Test of English proficiency scores are required if language of instruction for prior degrees was not English
- For the most updated transcripts and language requirements, please refer to the Graduate School at the University of Memphis.
- GRE not required
Acceptance into the certificate program is not an implied acceptance into any master's degree program.
Deadlines
- Fall Semester - July 15*
- Spring Semester - December 15*
*International applicants should plan to have their applications in by May 15 for Fall Semester and October 15 for Spring Semester to ensure sufficient time to receive your Form I-20 and visa.
Curriculum
This certificate program is comprised of 15 credit coursework (12 credit core courses and one course elective)
Core Courses (12 credit hours)
- COMP 6001 Intro to Python Programming
- COMP 7115: Database systems
- PUBH 7475 Principles of Population Health Informatics
- PUBH 7472: Digital Health Interventions and Evaluations
Elective (Choose one the of following) (3 credit hours)
- PUBH 7470: Community and Population Health Dashboards
- COMP 7150: Fundamentals of Data Sciences
- PUBH 7104: Large Datasets/Public Health Research
Competencies
- Analyze quantitative data using biostatistics, informatics, computer-based programming and software
- Distinguish among the different measurement scales and select the appropriate statistical methods to be used based on these distinctions
- Analyze public health data using linear and logistic regression models
- Develop multivariable models by statistically assessing confounding and effect modification
- Analyze public health data using appropriate epidemiologic and statistical methods to draw valid inferences