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).