圣路易斯大学

Saint Louis University's Master of Science program in health data science is designed to prepare students for a career in today's data-driven health care industry. Successful data scientists possess an artful ability to blend, synthesize and communicate data for use in clinical decisions by patients and providers as well as advancing quality improvement efforts across health systems.

SLU's health data science curriculum and academic training compliments other existing programs and course offerings at Saint Louis University, including Health Informatics (Doisy College of Health Sciences), Biostatistics (College for Public Health & Social Justice), and Biomedical Informatics and Computational Biology (College of Arts and Sciences). Students will have the opportunity to take courses from each of these programs.

Curriculum Overview

The goal of SLU's M.S. in health data science program is to provide graduates with the expertise and necessary skills needed to manage, manipulate and analyze large-scale clinical and operational databases. Most core courses are offered onsite during hours convenient for working professionals. Some core and elective courses are available through Saint Louis University's Center for Health Outcomes Research’s established online graduate programs. The program may be completed on a full-time or part-time basis.

Students complete 30 credits of coursework across three integrated areas of study:

Applied Statistics

Build capabilities to ask critical questions and draw conclusions from large, complex data with a variety of analytic methods, including predictive modeling, machine learning and data visualization. The program incorporates new software regularly to promote sharp and current analytic skills.

Practical Computing

Learn a diverse set of open source and proprietary software required to link data from disparate sources such as electronic medical records, insurance claims, operations data, patient registries and personal health devices. This software includes R, Python, SAS, SQL and Hadoop.

Health Science Applications

Respond to the challenges of a regulated, dynamic industry by understanding unique health care contexts such as privacy protection, government financing, risk contracting, performance monitoring and population health management.

Careers

After graduating with an M.S. in health data science from SLU, students 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.