Required undergraduate courses (32 semester hours) course Introduction to Programming with Python (4) course Python for Data Science (4) course Introduction to Data Science (4) course Statistics for Data Science (4) course Models and Machine Learning (4) course Data Management with SQL (4) course Differential Calculus with Precalculus (4) course Math for Data Scientists (4)
Undergraduate Electives (8 semester hours) at any level chosen from classes with CS or DATA subject or from the following approved list: course Biostatistics (4) course Bioinformatics (4) course Experimental Techniques in Chemistry (4) and course Experimental Techniques in Chemistry Lab (1) course Introduction to Econometrics and Forecasting (4) course Geographic Information Systems (4) course Research in Spatial Science (4) course Differential Equations with Linear Algebra (4) course Probability and Statistics (4) course Linear Algebra (4) course Topics in Mathematics: Probability Theory (topic dependent) (4) course Public Health Epidemiology (4) course Advanced Data Analysis and Simulation (ADAS) (4)
Required Graduate Core (36-40 semester hours): |