16 credits chosen from the following, of which a maximum of 4 total credits can be taken from CSCI 400 or CSCI 496 projects:
CSCI 400 - Directed Independent Study Credits: 1-15
CSCI 402 - Artificial Intelligence Credits: 4
CSCI 404 - Natural Language Processing Credits: 4
CSCI 424 - Social Network Analysis Credits: 4
CSCI 436 - Technology for Social Good Credits: 4
CSCI 471 - Advanced Machine Learning Credits: 4
CSCI 474 - Bioinformatics Credits: 4
CSCI 476 - Computer Vision Credits: 4
CSCI 477 - Data Mining Credits: 4
CSCI 479 - Spoken Language Processing Credits: 4
CSCI 481 - Deep Learning Credits: 4
CSCI 496 - Undergraduate Research Credits: 1-4
CSCI 497 temporary courses under advisement
MATH 443 - Linear Statistical Models Credits: 4
MATH 444 - Categorical Data Analysis Credits: 4
MATH 445 - Computational Statistics Credits: 4
MATH 447 - Multivariate Statistics Credits: 4
MATH 456 - Applied Time Series Analysis Credits: 4
MATH 457 - Bayesian Statistics Credits: 4
MATH 458 - Stochastic Processes Credits: 4
MATH 473 - Numerical Linear Algebra Credits: 4
M/CS 335 - Linear Optimization Credits: 4
M/CS 375 - Numerical Computation Credits: 4
M/CS 435 - Nonlinear Optimization Credits: 4
M/CS 475 - Numerical Analysis Credits: 4