Track 1 – Data Science, Two of the following:
Applied and Computational Statistics (MATH 275);
Probability and Statistics (MATH 305);
Statistical Inference (MATH 336);
Statistical Computer and Data Analysis Packages (MATH 365);
Introduction to Risk Analysis (MATH 376);
Statistical Computer Program Packages (CS 322);
Computational Methods in Biology (CS 327);
Decision Theory (CS 329);
Artificial Intelligence (CS 335);
Introduction to Natural Language Processing (CS 343);
AI and Robotics (CS 416);
Research Topics in Artificial Intelligence (CS 418);
Informatics (CS 419);
Introduction to Data Mining (CS 422);
Expert Systems (CS 435);
Climate Change (ESCI 347);
Geophysics (ESCI 355).
Track 2 – Two of the following:
Geographic Information System (GES 391, 392, 393),
Spatial Statistics (GES 351),
Remote Sensing & Digital Image Processing (GES 390).
Track 3 – Two of the following:
Business Analytics (MNGT-379),
Data Visualization and Management (MNGT 351),
Applied Economic Statistics (ECON-346).