Statistics
2026-2027
62 courses
- STAT 100Statistics credit:
- STAT 107Data Science Discovery credit:
- STAT 199Undergraduate Open Seminar credit: 0 to
- STAT 200Statistical Analysis credit:
- STAT 207Data Science Exploration credit:
- STAT 212Biostatistics credit:
- STAT 361Probability & Statistics for Computer Science credit:
- STAT 385Statistics Programming Methods credit:
- STAT 390Individual Study credit: 1 or
- STAT 391Honors Individual Study credit: 1 or
- STAT 400Statistics and Probability I credit:
- STAT 408Actuarial Statistics I credit:
- STAT 410Statistics and Probability II credit: 3 or
- STAT 420Methods of Applied Statistics credit: 3 or
- STAT 424Design of Experiments credit: 3 or
- STAT 425Statistical Modeling I credit: 3 or
- STAT 426Statistical Modeling II credit: 3 or
- STAT 427Statistical Consulting credit: 3 or
- STAT 428Statistical Computing credit: 3 or
- STAT 429Time Series Analysis credit: 3 or
- STAT 430Topics in Applied Statistics credit: 3 or
- STAT 431Applied Bayesian Analysis credit: 3 or
- STAT 432Basics of Statistical Learning credit: 3 or
- STAT 433Stochastic Processes credit: 3 or
- STAT 434Survival Analysis credit: 3 or
- STAT 437Unsupervised Learning credit: 3 or
- STAT 440Statistical Data Management credit: 3 or
- STAT 441Practice of Applied Statistics credit: 3 or
- STAT 443Professional Statistics credit: 3 or
- STAT 447Data Science Programming Methods credit: 3 or
- STAT 448Advanced Data Analysis credit:
- STAT 463Baseball Analytics: Data Science and Statistical Modeling with Baseball Data credit: 3 or
- STAT 480Big Data Analytics credit: 3 or
- STAT 510Mathematical Statistics credit:
- STAT 511Advanced Mathematical Statistics credit:
- STAT 525Topics in Computational Statistics credit:
- STAT 527Advanced Regression Analysis credit:
- STAT 528Advanced Regression Analysis II credit:
- STAT 530Bioinformatics credit:
- STAT 533Advanced Stochastic Processes credit:
- STAT 542Statistical Learning credit:
- STAT 543Appl. Multivariate Statistics credit:
- STAT 545Spatial Statistics credit:
- STAT 546Machine Learning in Data Science credit:
- STAT 551Theory of Probability I credit:
- STAT 552Theory of Probability II credit:
- STAT 553Probability and Measure I credit:
- STAT 554Probability and Measure II credit:
- STAT 555Applied Stochastic Processes credit:
- STAT 556Advanced Time Series Analysis credit:
- STAT 557High-Dimensional Statistics credit:
- STAT 571Multivariate Analysis credit:
- STAT 572Causal Inference credit:
- STAT 575Large Sample Theory credit:
- STAT 576Empirical Process Theory and Weak Convergence credit:
- STAT 578Topics in Statistics credit:
- STAT 587Hierarchical Linear Models credit:
- STAT 588Covar Struct and Factor Models credit:
- STAT 590Individual Study and Research credit: 0 to
- STAT 593STAT Internship credit: 0 to
- STAT 595Academic Research Career Preparation credit:
- STAT 599Thesis Research credit: 0 to
No courses found.