Master of Science in Biostatistics and Health Analytics

About

The 21st century is the era of "big data." Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. It is estimated that 30% of this data comes from the health care industry. Saint Louis University's Master of Science in Biostatistics and Health Analytics prepares students to handle this data while applying analytic techniques to answer important research questions related to health and health care. This program is designed for SLU students interested in a field that combines quantitative reasoning, coding and scientific skills to solve problems in health and medicine. It is suited for those with strong quantitative abilities and a desire to apply mathematics, statistics, computer programming and data analysis to health-related issues. An M.S. in biostatistics and health analytics can prepare students for professional biostatistical careers and provides a firm academic foundation for subsequent doctoral study in statistical science. Biostatistics is a science, technology, engineering and mathematics (STEM) focus area because biostatistics is a mathematically based science. In 2006, the United States launched a program to increase the number of students who receive training in STEM areas. This program will fill the need for graduates with technical abilities to analyze data and draw inferences. Students interested in learning skills across a broad spectrum of biostatistics and data analytics can choose the traditional biostatistics concentration. Those who want to apply their skills to geospatial data can choose the geospatial health data analytics concentration. Both programs require a core set of material on biostatistics and analytics, and each concentration has its own requirements for completion. 

Career Path 

Graduate career path includes Biostatistician, Health Data Scientist, Clinical Data Manager, Epidemiologist (Quantitative Focus), Statistical Programmer, Bioinformatics Specialist, Genomic Data Analyst, Outcomes Research Analyst, Public Health Data Analyst, Pharmaceutical Biostatistician, Precision Medicine Analyst, Healthcare Operations Analyst, Health Informatics Specialist, Population Health Analyst, Global Health Data Analyst, Environmental Health Data Scientist, Cancer Research Biostatistician, Infectious Disease Modeler, AI & Machine Learning in Health Analyst, Digital Health Analytics Specialist, Health Economics Analyst, Policy & Regulatory Data Analyst, Academic Researcher, Clinical Trial Biostatistician, Medical Device Data Analyst, Quality Assurance Analyst (Healthcare), Real-World Evidence Analyst.