Master of Science in Health Data Science Courses

Visit the Master of Science in Medical Informatics Curriculum website to see which courses are core and elective options. 

• HSE 101 Foundations of Programming for Data Scientists
• HSE 101.1 Intermediate Programming for Data Scientists
• HSE 103 Foundations of Data Science
• HSE 108 Machine Learning
• HSE 119 Foundations of Biostatistics I: Applied Biostatistics
• HSE 120 Foundations of Biostatistics I: Statistical Theory for the Quantitative Biomedical Sciences
• HSE 121 Foundations of Biostatistics II: Statistical Regression
• HSE 122 Foundations of Biostatistics III: Modeling Complex Data
• HSE 123 Biostatistics Consulting Lab
• HSE 124 Advanced Biomedical Data Analysis
• HSE 126 Analysis of Densely Collected Longitudinal Data
• HSE 130 Foundations of Epidemiology I: Theory and Methods
• HSE 131 Foundations of Epidemiology II: Theory and Methods
• HSE 132 Molecular Biologic Markers in Human Health Studies
• HSE 133 Clinical Epidemiology
• HSE 136 Applied Epidemiological Methods I
• HSE 137 Applied Epidemiological Methods II
• HSE 139 Advanced Health Services Research
• HSE 140 Decision & Cost Effectiveness Analysis
• HSE 145 Computational Immunology
• HSE 146 Foundations of Bioinformatics I
• HSE 147 Genomics: From Data to Analysis
• HSE 148 Introduction to Statistical Genetics
• HSE 177 Methods of Statistical Learning for Big Data
• HSE 180 Data Visualization
• HSE 181 Data Wrangling
• HSE 185 Masters Capstone Experience
• HSE 185.5  Essential skills for career development and leadership
• HSE 192 Health Informatics
• HSE 193 Independent Journal Club
• HSE 194 Biostatistics Journal Club
• HSE 195 HSE Independent Study
• HSE 271 HSE Epidemiology Journal Club
• HSE 700 Responsible and Ethical Conduct of Research