Table 1.
1A. Required Courses | ||
---|---|---|
Statistics/Mathematics | Computer Science | Public Health |
•Regression Modeling Strategies •Mathematical Statistics •Computational Statistics •Data Visualization and Exploratory Analysis |
•Introduction to Computing in Python •Machine Learning •Advanced Algorithm Analysis |
•Health Research Methods •Ethics and Scientific Writing in Health Research •Health Informatics •Epidemics Models and Data Science •Infectious Disease Modeling |
1B. Elective Courses | ||
•Bayesian Statistics •Causal Inference •Spatial Analysis •Time Series Analysis •Linear Algebra •Numerical Optimization •Theory of Probability •Advanced Calculus |
•Natural Language Processing •Big Data Analytics •Artificial Intelligence •Introduction to Cloud Computing |
•Fundamentals of Epidemiology •Statistical Genetics •Epidemics Models and Data Science •Computational Biology |