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Minor

Minor in Statistics

University of Illinois Urbana-Champaign College of Liberal Arts and Sciences 39 courses 12 total credits

About This Program

The Graduate Minor in Statistics is designed for doctoral students pursuing degrees in other fields who wish to enhance their statistical knowledge and credentials. Students within the major cannot minor in the same program. The Minor is taken in conjunction with, and is intended to complement the student’s work in their primary disciplines. Admission to the minor requires an application to the Department and admission to a PhD program (MS track to PhD cannot apply until they are in the PhD program) in another field at the University of Illinois Urbana-Champaign. Applications for the Minor are submitted upon completion of the required courses. Approval is contingent on having grade point average of 3.0 or better in the Minor. A total of three courses, constituting 12 graduate credit hours, are required for the minor in Statistics degree. At least 8 credit hours must be taken at the 500 level. No course substitutions allowed.

Degree Requirements

Total Hours 12 credits

Required Courses

Three courses from the following list: (12 hours) STAT 558.

Code Course Title Credits
STAT 424 Design of Experiments 3-4
STAT 425 Statistical Modeling I 3-4
STAT 426 Statistical Modeling II 3-4
STAT 428 Statistical Computing 3-4
STAT 429 Time Series Analysis 3-4
STAT 430 Topics in Applied Statistics 3-4
STAT 431 Applied Bayesian Analysis 3-4
STAT 432 Basics of Statistical Learning 3-4
STAT 433 Stochastic Processes 3-4
STAT 434 Survival Analysis 3-4
STAT 437 Unsupervised Learning 3-4
STAT 440 Statistical Data Management 3-4
STAT 441 Practice of Applied Statistics 3-4
STAT 443 Professional Statistics 3-4
STAT 447 Data Science Programming Methods 3-4
STAT 448 Advanced Data Analysis 4
STAT 480 Big Data Analytics 3-4
STAT 510 Mathematical Statistics 4
STAT 511 Advanced Mathematical Statistics 4
STAT 525 Topics in Computational Statistics 4
STAT 527 Advanced Regression Analysis 4
STAT 528 Advanced Regression Analysis II 4
STAT 530 Bioinformatics 4
STAT 533 Advanced Stochastic Processes 4
STAT 542 Statistical Learning 4
STAT 545 Spatial Statistics 4
STAT 546 Machine Learning in Data Science 4
STAT 551 Theory of Probability I 4
STAT 552 Theory of Probability II 4
STAT 553 Probability and Measure I 4
STAT 554 Probability and Measure II 4
STAT 555 Applied Stochastic Processes 4
STAT 556 Advanced Time Series Analysis 4
STAT 571 Multivariate Analysis 4
STAT 575 Large Sample Theory 4
STAT 576 Empirical Process Theory and Weak Convergence 4
STAT 578 Topics in Statistics 4
STAT 587 Hierarchical Linear Models 4
STAT 588 Covar Struct and Factor Models 4

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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