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Health Data Science, M.S.

Offered by the Center for Health Outcomes Research, Saint Louis University’s master’s degree in health data science prepares you for high-earning careers using analytics and big data for the health care industry.

About the Program

SLU’s master’s program in health data science is flexible enough for traditional students or working professionals. It offers the expertise and hands-on skills in analytics, modeling and outcomes research needed to meet an increasing demand for data scientists in the health care system.

This degree program offers sought-after skills in health data manipulation, data visualization, data mining, machine learning and predictive analytics. You will enhance your programming skills in R, SQL and Python and work with advanced computing tools, such as Hadoop and MapReduce.

Course Sequence

SLU’s health data science program begins in the fall semester and can be completed in two years.

  • Year 1 Fall Semester:
    • Programming for Data Scientists
    • Foundations of Outcomes Research I
  • Year 1 Spring Semester
    • Analytics and Statistical Programming
    • Foundations of Medical Diagnosis and Treatment
  • Year 1 Summer
    • Inferential Modeling of Health Outcomes
  • Year 2 Fall
    • Health Data Management and Standards
    • High Performance Computing in the Health Care Industry
  • Year 2 Spring
    • Health Care Organization, Management and Policy
    • Predictive Modeling and Machine Learning
  • Year 2 Summer
    • Capstone Experience
Program Highlights

Saint Louis University’s Center for Health Outcomes Research (SLUCOR) conducts research into policies and practices that improve health outcomes across patient populations. SLUCOR’s interdisciplinary approach brings together clinical specialists and methodologists in an atmosphere that fosters creativity, scholarly productivity and best-in-class methods.

Curriculum and Program Details

SLU’s health science data courses cover analytics, computing and health sciences.

Analytics Block:
  • Analytics and Statistical Programming (3 credit hours)
  • Inferential Modeling of Health Outcomes (3 credit hours)
  • Predictive Modeling and Machine Learning (3 credit hours)
Computing Block
  • Programming for Data Scientists (3 credit hours)
  • Health Data Management and Standards (3 credit hours)
  • High Performance Computing in the Health Care Industry (3 credit hours)
Health Sciences Block
  • Foundations of Outcomes Research I (3 credit hours)
  • Foundations of Medical Diagnosis and Treatment (3 credit hours)
  • Communication and Leadership in the Health Care Industry (3 credit hours)
  • Capstone Experience (3 credit hours)
  • Journal Club
  • Eric S. Armbrecht, Ph.D.
  • Paula M. Buchanan, Ph.D., M.P.H.
  • Thomas E. Burroughs, Ph.D.
  • Scott Devine, BPharm, M.P.H., Ph.D.
  • Grant Farmer, Ph.D., M.P.H.
  • Lauren Garfield, Ph.D., M.P.H.
  • Caroline Geremakis, Ph.D., M.P.H.
  • Donna R. Halloran, M.D., M.S.P.H.
  • Paul J. Hauptman, M.D.
  • Leslie J. Hinyard, Ph.D., M.S.W.
  • Sarah Moreland-Russell, Ph.D., M.P.H.
  • Taehwan Park, Ph.D.
  • Divya Subramaniam, Ph.D., M.P.H.
  • Robert Sutter, M.B.A., M.H.A.
  • Eric Westhus, Ph.D.
  • Angelique Zeringue, Ph.D.

After graduating with an M.S. in health data science from SLU, you will be prepared for a career as a data scientist. Data scientists blend, synthesize and communicate data for use in clinical decisions by patients and providers and are able to advance quality improvement efforts across health systems.

Tuition and Fees

Saint Louis University takes pride in being one of Barron's Best Buys in College Education and Kiplinger's Best Values in Private Colleges.

For information regarding the upcoming academic year’s tuition rate, fees and financial aid, visit SLU Financial Services.

2018-2019 Tuition and Fees
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Financial Aid

Scholarships and Financial Aid
Scholarships and financial aid are available for this graduate program. To learn more, visit Student Financial Services.

Applicant Criteria

  • Bachelor's degree from an accredited college or university in a social science, biomedical science or related discipline
  • Successful candidate will likely have a GPA of 3.0 or better.
  • The admissions committee reviews TOEFL scores for all international applicants.

To apply, you’ll need:

Application Requirements
Application form and fee
Transcript(s) from most recent degrees
Professional statement
Résumé or curriculum vitae
Three recommendation letters

Requirements for International Students