Health Outcomes Research, Ph.D.
Health outcomes research is a rapidly expanding, interdisciplinary field that provides evidence and guidance for understanding the endpoints of treatments, interventions and health care practices, be they clinical, functional, quality-of-life or economic. ÈíÃÃÉç’s Doctor of Philosophy (Ph.D.) in Health Outcomes Research is a program that trains researchers in the areas of health outcomes research, health services research and health data science to meet the changing needs of the health care system.
The goal of ÈíÃÃÉç's program is to prepare robust clinical and health outcomes researchers. Students receive a solid foundation in:
- Research methodology
- Data management
- Statistical analysis
- Data science
- Scientific writing and presentation
In addition to coursework, students work collaboratively with their mentor, research and clinical faculty and other students to produce high-quality research throughout their program.ÌýÌý
Curriculum Overview
The program requires a total of 48 credits for completion; 36 credits of coursework and 12 dissertation credits. Additionally, students must pass a written comprehensive exam, an oral examination/proposal of the dissertation and a public presentation and defense of the dissertation.
Fieldwork and Research Opportunities
The department partners with clinical faculty in theÌýÈíÃÃÉç School of MedicineÌýand conducts research in numerous clinical areas, including diabetes, oncology, pediatrics, otolaryngology, infectious disease and health care quality. Additionally, our faculty have expertise in health data science, research methodology, biostatistics, epidemiology, survey design and outcomes measurement. Students have the opportunity to work with their primary mentor, our faculty and clinical faculty on both short- and long-term research projects.
Careers
Graduates are prepared to work as academics and researchers at universities, medical centers, government and nongovernment health agencies, hospital systems, insurance and other areas of the health industry. Ìý
Admission Requirements
Applicants should have a master’s degree from an accredited college or university in social science, biomedical science, public health, or related discipline. Successful candidates will have maintained a minimum 3.5 GPA in graduate coursework and scored at least at the 50th percentile for GRE verbal and quantitative reasoning. Students must also demonstrate evidence of interest in an area of research and identify a willing and suitable faculty mentor. Ìý
Application Requirements
Begin your application for this program atÌýwww.slu.edu/apply.Ìý
- Application form and fee
- Transcripts from most recent degree(s)
- Professional statement
- Résumé or curriculum vitae
- One letter of recommendation
- GRE required
Requirements for International Students
Along with the general admission requirements above, the following must be provided by prospective international students:
- Demonstration ofÌýEnglish Language Proficiency.
- Proof of financial support that must include:
- A letter of financial support from the person(s) or sponsoring agency funding the time at ÈíÃÃÉç.
- A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of study at the University.
- Academic records, in English translation, for postsecondary studies outside the United States. These must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted.
Application Deadline
Applications to the program are considered on a rolling basis.
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Tuition | Cost Per Credit |
---|---|
Graduate Tuition | $1,370 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships and Financial Aid
For priority consideration for graduate assistantship, apply by Feb. 1.
For more information, visit the Office of Student Financial Services.
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ÈíÃÃÉç is accredited by the Higher Learning Commission (HLC) and has been continuously accredited since 1916.
- Graduates will be able to effectively review, summarize and synthesize literatureÌýrelated to clinical aspects of health outcomes.
- Graduates will be able to apply appropriate data management strategies related to clinical aspects of health outcomes.
- Graduates will be able to critically evaluate clinical aspects and health care-specific methodological designs.
- Graduates will be able to demonstrate a thorough and ethical approach to conducting academic research.
- Graduates will be able to effectively communicate study results related toÌýclinical aspects of health outcomes.
Code | Title | Credits |
---|---|---|
Required Courses | ||
ORESÌý5010 | Introduction to Biostatistics for Health Outcomes | 3 |
orÌýHDSÌý5310 | Analytics and Statistical Programming | |
ORESÌý5160 | Data Management | 3 |
ORESÌý5300 | Foundations of Outcomes Research I | 3 |
ORESÌý5320 | Scientific Writing and Communication | 3 |
ORESÌý5430 | Health Outcomes Measurement | 3 |
ORESÌý5150 | 0-3 | |
orÌýHDSÌý5320 | Inferential Modeling | |
ORESÌý6990 | Dissertation Research (taken over multiple semesters, 12hrs total) | 0-6 |
Program Elective Courses | ||
Select six courses from the following: | 18 | |
HDSÌý5210 | Programming for Health Data Scientists | |
HDSÌý5230 | High Performance Computing | |
HDSÌý5330 | Predictive Modeling and Machine Learning | |
HMPÌý5000 | Health Care Organization | |
ORESÌý5210 | Foundations of Medical Diagnosis and Treatment | |
ORESÌý5400 | Pharmacoeconomics | |
ORESÌý5410 | Evaluation Sciences | |
ORESÌý5560 | R Programming | |
ORESÌý5550 | SAS Programming I | |
ORESÌý5260 | Pharmacoepidemiology | |
ORESÌý5440 | Comparative Effectiveness Research | |
ORESÌý6980 | Advanced Graduate Readings in Outcomes Research | |
Total Credits | 45-48 |
Continuation Standards
Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollmentÌýunless otherwise noted. Ìý
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
Year One | ||
---|---|---|
Fall | Credits | |
ORESÌý5010 or HDSÌý5310 |
Introduction to Biostatistics for Health Outcomes or Analytics and Statistical Programming |
3 |
ORESÌý5300 | Foundations of Outcomes Research I | 3 |
ORESÌý5320 | Scientific Writing and Communication | 3 |
Ìý | Credits | 9 |
Spring | ||
ORESÌý5160 | Data Management | 3 |
ORESÌý5210 | Foundations of Medical Diagnosis and Treatment (Program Elective #1) | 3 |
HDSÌý5210 | Programming for Health Data Scientists (Program Elective #2) | 3 |
Ìý | Credits | 9 |
Summer | ||
HDSÌý5320 | Inferential Modeling (Can substitute for ORES 5150 or be used as an elective) | 3 |
Ìý | Credits | 3 |
Year Two | ||
Fall | ||
ORESÌý5430 | Health Outcomes Measurement | 3 |
Program Elective #3 | 3 | |
Program Elective #4 | 3 | |
Ìý | Credits | 9 |
Spring | ||
Program Elective #5 | 3 | |
Program Elective #6 | 3 | |
Ìý | Credits | 6 |
Year Three | ||
Fall | ||
ORESÌý6990 | Dissertation Research | 6 |
Ìý | Credits | 6 |
Spring | ||
ORESÌý6990 | Dissertation Research | 6 |
Ìý | Credits | 6 |
Ìý | Total Credits | 48 |